Warning device for adjusting warning sensitivity of a movable device and method of adjusting warning sensitivity thereof

This application claims the benefit of Taiwan's Patent Application No. 107114752, filed on Apr. 30, 2018, at Taiwan's Intellectual Property Office, the disclosures of which are incorporated herein in their entirety by reference.

Embodiments in the present disclosure are related to a warning device, and more particularly to a warning device for adjusting warning sensitivity of a movable device and a method of adjusting the warning sensitivity of the movable device.

Since the industrial revolution, the pace of life has become more rapid and the workload has become heavier. For office workers especially, the long hours do not allow them the chance to exercise, causing people to have a sedentary lifestyle. In addition, those who eat high calorie food every day have nutritional imbalances, and are more likely to have high blood pressure, high cholesterol, diabetes, obesity and other chronic diseases. Cancer rates have risen even in many modern countries because of the abovementioned factors.

Riding a bicycle can not only save energy and reduce carbon emissions, but also can be a way to improve physical fitness. While slowly pedaling along beautiful scenery, one not only gets necessary exercise but also relief from work pressure and a positive mental effect. However, there are some things to consider while riding a bicycle. For example, a safety warning device is a very useful tool to have because it will indicate to the rider to slow down or stop when in proximity to other vehicles. Especially at night, if there are no warning devices such as car lights to see, a bicycle rider may easily collide with a vehicle in front.

In the prior art, most of the brake lights are mounted on the brake device. The brake wire of the brake device passes through the clamp of the brake light, wherein the clamp has a compression spring. When the brake unit is pressed, the brake wire is compressed to compress the compression spring. In response to the mechanical compression force, the brake light is turned on. After the brake unit is released, the brake wire is stretched to restore the original shape of the compression spring, and the brake light is extinguished.

Another type of brake light has an acceleration sensor built therein and is installed behind the bicycle seat. When the cyclist brakes, the acceleration sensor senses whether the bicycle decelerates, i.e., the acceleration is negative, and the brake light will light up. Otherwise, the acceleration sensor senses the bicycle is maintaining its speed or accelerating, i.e., when the acceleration of the bicycle is not less than zero, the brake light will not light up.

However, when the bicycle moves slowly and the cyclist thereof brakes gently, the acceleration sensor can hardly sense that the movement of the bicycle is performing deceleration. Therefore, there is need for the development of a warning device in a movable device for gentle deceleration and a method of adjusting the warning sensitivity of the movable device having a movement.

The object of the present application is to provide a warning device of a movable device for a gentle deceleration. The warning device is installed on the movable device in order to indicate a motion state of the movable device. For example, if the acceleration is negative, it shows that the motion state of the movable device decelerates. The warning device has a warning sensitivity reflecting the motion state and is dynamically adjusted in response to a terrain change experienced by the movable device (for example, the degree of ground jolt). The warning device includes a sensing unit, a data processing unit and a motion analyzing unit. The sensing unit functions as an accelerometer used for sensing the motion state of the movable device to generate a plurality of acceleration signals. The data processing unit receives the plurality of acceleration signals to transform the plurality of acceleration signals into a plurality of acceleration data. The motion analyzing unit identifies maximum acceleration data and minimum acceleration data from the plurality of acceleration data for every sampling interval, in order to form two acceleration sequences. The motion analyzing unit then applies a weighted-average algorithm to the two acceleration sequences to form smooth acceleration sequences respectively corresponding to the two acceleration sequences. The motion analyzing unit subtracts a plurality of a second acceleration values from a plurality of a first acceleration values one by one in real time in order to form a plurality of vibration values associated with different road surface states. The motion analyzing unit compares each vibration value with a predetermined threshold value to decide whether the sensitivity should be adjusted in real time. For example, under a condition that the movable device slowly moves along a relatively smooth surface or less bumpy ground and each vibration value is smaller than the predetermined threshold value, the motion analyzing unit adjusts the warning sensitivity to make the plurality of acceleration signals more easily trigger the warning device, for example by lighting up the warning device. The data processing unit and the motion analyzing unit have a processing unit, which can run functions to make the data processing unit process acceleration data according to different programs or different algorithms, and to make the motion analyzing unit decide whether the predetermined threshold value should be adjusted or to decide whether braking is being performed, so that a control signal is sent to light up the brake light.

In accordance with one embodiment of the present disclosure, a warning device for adjusting a warning sensitivity of a movable device having a movement is disclosed, which comprises a sensing unit, a data processing unit and a motion analyzing unit. The sensing unit senses the movement of the moveable device to generate a plurality of acceleration data associated with a motion identification of the movement. The data processing unit is electrically connected to the sensing unit, and samples the plurality of acceleration data to obtain a plurality of parameters within a specific sampling interval. The motion analyzing unit is electrically connected to the data processing unit, compares each of the plurality of parameters with a first pre-determined threshold value to generate a first result, and adjusts a second pre-determined threshold value reflecting the warning sensitivity based on the first result

In accordance with one embodiment of the present disclosure, a method for adjusting a warning sensitivity of a movable device having a movement is disclosed, comprising steps of: providing a motion-weighted algorithm; sensing the movement of the movable device to generate a plurality of acceleration data for a motion identification of the movement; sampling a maximum acceleration value and a minimum acceleration value from the plurality of acceleration data within a specific sampling interval, and calculating a plurality of maximum acceleration weighted-average values and a plurality of minimum acceleration weighted-average values based on the motion-weighted algorithm in order to obtain a plurality of weighted-average value differences; and obtaining a plurality of vibration values based on the plurality of weighted-average value differences, comparing each of the plurality of vibration values with a first pre-determined threshold value to generate a first result, and adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

In accordance with a further embodiment of the present disclosure, a method for adjusting a warning sensitivity of a movable device having a movement is disclosed, comprising steps of: sensing the movement of the movable device to generate a plurality of acceleration data associated with a motion identification of the movement; sampling the plurality of acceleration data to obtain a plurality of parameters within a specific sampling interval; comparing each of the plurality of parameters with a first pre-determined threshold value to generate a first result; and adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

The present disclosure provides a warning device for adjusting warning sensitivity of a movable device and a method of adjusting the warning sensitivity of the movable device, the warning sensitivity of the warning device can be dynamically adjusted according to a jolting condition of the road surface, so that the warning device more accurately emits the warning signal. This is especially the case when the road surface is relatively smooth, and the braking is performed gently.

The above embodiments and advantages of the present invention will become more readily apparent to those ordinarily skilled in the art after reviewing the following detailed descriptions and accompanying drawings.

FIG. 1 is a schematic diagram showing a motion system according to various embodiments of the present disclosure;

FIG. 2 is a schematic acceleration variation diagram showing an acceleration sense signal of an acceleration a(t) associated with a movable device;

FIG. 3 is a schematic diagram illustrating the acceleration data processed by different algorithms according to a preferred embodiment of the present invention in a signal form;

FIG. 4 is a schematic diagram showing a method for adjusting a warning sensitivity of a movable device having a movement according to the preferred embodiment of the present disclosure; and

FIG. 5 is a schematic diagram showing another method for adjusting a warning sensitivity of a movable device having a movement according to the preferred embodiment of the present disclosure.

Please refer to all Figures of the present invention when reading the following detailed description, wherein all Figs. of the present invention demonstrate different embodiments of the present invention by showing examples, and help the skilled person in the art to understand how to implement the present invention. However, the practical arrangements and the present method provided to implement the present invention is not necessary to completely comply with the descriptions in the specification. The present examples provide sufficient embodiments to demonstrate the spirit of the present invention, each embodiment does not conflict with the others, and new embodiments can be implemented through an arbitrary combination thereof, i.e., the present invention is not restricted to the embodiments disclosed in the present specification.

Please refer to FIG. 1 and FIG. 2 . FIG. 1 is a schematic diagram showing a motion system 801 according to various embodiments of the present disclosure. FIG. 2 is a schematic acceleration variation diagram showing an acceleration sense signal S 1 of an acceleration a(t) associated with a movable device 22 . When the movable device 22 travels with a variable acceleration B 1 in a moving reference direction 22 A 1 on an asphalt road surface, the variable acceleration B 1 is sensed to obtain the acceleration sense signal S 1 .

The motion system 801 includes a road surface 21 , the movable device 22 moving on the road surface 21 , and a warning device 23 coupled to the movable device 22 . For instance, the movable device 22 is a vehicle. For instance, the vehicle is a bicycle 25 . The movable device 22 has a moving reference axis 22 A. The warning device 23 is disposed on the movable device 22 based on the moving reference axis 22 A. The moving reference axis 22 A has the moving reference direction 22 A 1 .

In some embodiments, the movable device 22 includes a device body 221 , a front wheel 222 , a rear wheel 223 , a seat 224 , a brake unit 225 , a driving structure 226 and a handling unit 227 . Each of the warning device 23 , the front wheel 222 , the rear wheel 223 , the seat 224 , the brake unit 225 , the driving structure 226 and the handling unit 227 is coupled to the device body 221 . The handling unit 227 is configured to control the front wheel 222 and the brake unit 225 . For instance, the driving structure 226 is a pedal structure. For instance, the movable device 22 includes a first rear portion 229 ; and the warning device 23 is disposed on the first rear portion 229 based on the moving reference axis 22 A. For instance, the device body 221 includes a second rear portion 2211 ; and the warning device 23 is disposed on the second rear portion 2211 based on the moving reference axis 22 A.

In some embodiments, the warning device 23 for the movable device 22 having the variable acceleration B 1 includes a sensing unit 231 , a processor 232 coupled to the sensing unit 231 , and an alert unit 233 coupled to the processor 232 . The sensing unit 231 includes an accelerometer 2311 , and senses the variable acceleration B 1 to generate an acceleration sense signal S 1 by using the accelerometer 2311 . The processor 232 , based on the acceleration sense signal S 1 , decides whether to cause the alert unit 233 to output a warning signal Q 1 ; that is, the processor 232 makes a decision R 1 based on the acceleration sense signal S 1 . When the decision R 1 is positive, the processor 232 causes the alert unit 233 to output the warning signal Q 1 . In FIG. 1 , a data processing unit 2321 may be implemented by a software unit or a hardware unit, for example, a data processing application (not shown) or the processor 232 . A motion analyzing unit 2322 may also be implemented by a software unit or a hardware unit, for example, a movement analysis application (not shown) or the processor 232 . The processor 232 can obtain a plurality of acceleration data (i.e., original acceleration data (called RAW DATA)) from the acceleration sense signal S 1 for subsequent analysis. The motion analyzing unit 2322 decides whether a warning sensitivity of the movable device 22 should be adjusted based on the acceleration sense signal S 1 , i.e., determining a decision result R 2 , and the processor 232 adjusts the warning sensitivity when the decision result R 2 is positive.

For instance, the movable device 22 does a motion M 1 having the variable acceleration B 1 . The road surface 21 is the asphalt road surface, and the motion M 1 is a travelling motion. For instance, the motion M 1 is characterized by the variable acceleration B 1 ; and the variable acceleration B 1 is represented by the acceleration sense signal S 1 . For instance, the accelerometer 2311 is configured to have a body coordinate system, and an X-axis sensing direction, a Y-axis sensing direction and a Z-axis sensing direction associated with the body coordinate system. The X-axis sensing direction is configured to be the same as or parallel to the moving reference direction 22 A 1 , and is configured to be in a travelling direction HM 1 of the movable device 22 . For instance, the acceleration sense signal S 1 is configured to represent an acceleration in the travelling direction HM 1 , and is expressed by a sense data.

As shown in FIG. 2 , the acceleration sense signal S 1 is filled with noise signals, and thus is hardly used to determine the decision result R 1 . Accordingly, it is necessary to improve the drawback of all frequency band noises of the acceleration sense signal S 1 produced by the accelerometer 2311 , wherein different frequency band noises may originate from different moving environments, different operations or different signal sampling mechanism. In FIG. 2 , a time block PBK is equal to an interval after the brake unit 225 is pressed until the bicycle 25 stops, and a time point TBK is equal to a change time point which the second predetermined threshold value TH 2 changes during the time block PBK.

In general, an application embodiment is relatively intuitive in that the accelerometer 2311 is used to sense the deceleration of the bicycle 25 to cause the alert unit 233 to start to emit a deceleration alert light when the bicycle 25 is travelling, wherein the alert unit 233 is an alert lamp, and includes a brake light (not shown) coupled to the processor 232 . However, due to an intrinsically dynamic sensing property of a relatively wide frequency band, the accelerometer 2311 can inevitably sense an environment noise, especially a vibration signal, when sensing an acceleration/deceleration of a carrier or a vehicle. Such vibration noise can seriously influence the sensed deceleration signal of the vehicle, and thus must be definitely identified. In some embodiments, a low-pass filtering is used to eliminate the influence of this relatively-high frequency vibration noise. For instance, a low-pass filter implemented in a hardware form is used to perform the low-pass filtering. Or, a low-pass filter implemented in a software form is used to perform the low-pass filtering by using an operation method (such as a moving average algorithm AM 1 ). The preferred embodiment in the present disclosure can carry out a band pass filter by a software unit. For instance, the band pass filter is simulated by the data processing unit 2321 . In another preferred embodiment, a motion-weighted algorithm is used to determine a plurality of vibration values, and when each vibration value is relatively small, it represents that the road surface is not likely to trigger the processor 232 to cause the brake light to light up, and therefore the warning sensitivity of the brake light can be properly adjusted to make the brake light to light up more easily.

However, on smoother or less bumpy roads, noise can be filtered out in fact. If the bicycle 25 is traveling at a relatively slow speed and is in a slowly braking state, the deceleration signal of the bicycle 25 is usually weak and difficult to trigger and activate the deceleration warning light. Therefore, the present disclosure provides a motion-weighted algorithm WA 1 for sampling raw acceleration data (RAW DATA), calculating a plurality of vibration values, and comparing each vibration value with a threshold value. In order to decide whether the bicycle 25 is traveling at a relatively slow speed and is in a gentle braking state, the warning sensitivity of the warning device 23 can be dynamically adjusted so that the deceleration signal of the bicycle 25 can trigger and activate the deceleration warning light more easily.

Please additionally refer to FIGS. 1 and 2 . The data processing unit 2321 samples a maximum acceleration value (such as one of a 1 , a 2 , a 3 , a 4 . . . an) and a minimum acceleration value (such as one of b 1 , b 2 , b 3 , b 4 . . . bn) from the plurality of acceleration data (RAW DATA) for every specific sampling interval (such as one of td 1 , td 2 , td 3 , td 4 . . . tdn), respectively forming an acceleration sequence SA={a 1 , a 2 , a 3 , a 4 . . . an} and an acceleration sequence SB={b 1 , b 2 , b 3 , b 4 . . . bn}, and smoothes the acceleration sequences SA and SB based on the motion-weighted algorithm WA 1 . The specific sampling intervals td 1 , td 2 , td 3 , td 4 . . . tdn are preferably the same sampling intervals, and the width of any of the specific sampling intervals td 1 , td 2 , td 3 , td 4 . . . tdn may be also determined according to the change of the original plurality of acceleration data (RAW DATA). For example, when the change is relatively sharp, the width is decreased, and when the change is relatively gentle, the width is increased. The equal width are taken as an example. The data processing unit 2321 performs a plurality of first weighted operations on the n-th maximum acceleration value and the (n+1)th maximum acceleration value to form a plurality of maximum acceleration weighted-average values, where n is a natural number. Additionally, the data processing unit 2321 performs a plurality of second weighted operations on the n-th minimum acceleration value and the (n+1)th minimum acceleration value to form a plurality of minimum acceleration weighted-average values, where n is the natural number. For example, the plurality of maximum acceleration weighted-average values can be calculated as follows: a 1 ×25%+a 2 ×75%=c 1 , a 2 ×25%+a 3 ×75%=c 2 , a 3 ×25%+a 4 ×75%=c 3 , a 4 ×25%+a 5 ×75%=c 4 , . . . an×25%+a(n+1)×75%=cn. For example, the plurality of minimum acceleration weighted-average values can be calculated as follows: b 1 ×25%+b 2 ×75%=d 1 , b 2 ×25%+b 3 ×75%=d 2 , b 3 ×25%+b 4 ×75%=d 3 , b 4 ×25%+b 5 ×75%=d 4 , . . . bn×25%+b(n+1)×75%=dn. As shown in FIG. 3 , the plurality of maximum acceleration weighted-average values {c 1 , c 2 , c 3 , c 4 . . . cn} and the plurality of minimum acceleration weighted-average values {d 1 , d 2 , d 3 , d 4 . . . dn} respectively form a weighted-acceleration sequence SC={c 1 , c 2 , c 3 , c 4 . . . cn} and a weighted-acceleration sequence SD={d 1 , d 2 , d 3 , d 4 . . . dn}, which respectively form a first signal and a second signal. In FIG. 3 , it can be seen that the acceleration sequences SA and SB have been smoothed to form the weighted acceleration sequences SC and SD obtained by the calculation of the motion-weighted algorithm. The first weighting value multiplied by the nth maximum/minimum acceleration value and the second weighting value multiplied by n+1 maximum/minimum acceleration value can be flexibly adjusted, and can be continuously tried to be optimized. In general, when the first weighting value is ranged from 0 to 50% and the second weighting value is ranged from 50% to 100%, a smoother signal can be obtained. On the contrary, when the first weighting value is ranged from 50% to 100% and the second weighting value is ranged from 0 to 50%, a steeper or sharper signal can be obtained.

Please refer to FIG. 3 , which is a schematic diagram illustrating the acceleration data processed by different algorithms according to a preferred embodiment of the present invention in a signal form. The smoothed weighted acceleration sequence SC={c 1 , c 2 , c 3 , c 4 . . . cn} and the weighted acceleration sequence SD={d 1 , d 2 , d 3 , d 4 . . . dn} form the first signal and the second signal, respectively. A sequence SE forms a third signal, and is formed based on the difference of the plurality of weighted average values SE=SC−SD={c 1 −d 1 , c 2 −d 2 , c 3 −d 3 , c 4 −d 4 . . . cn−dn}={e 1 , e 2 , e 3 , e 4 . . . en}, where e 1 , e 2 , e 3 , e 4 . . . en are the plurality of vibration values. An average acceleration sequence SF forms a fourth signal, and is formed by the data processing unit 2321 based on the moving average algorithm AM 1 as follows. As shown in FIGS. 1 to 3 , the data processing unit 2321 selects two different predetermined sample sizes from the plurality of acceleration data based on the moving average algorithm AM 1 , to generate a plurality of sample average value difference DG 1 . The motion analyzing unit 2322 analyzes the plurality of sample average differences DG 1 to obtain a derived resultant value VA 1 , and compares the derived resultant value VA 1 with a predetermined threshold value TH 2 to generate the result R 1 . When the result R 1 is positive, it is determined that the brake unit 225 has started to be applied. Under normal conditions, the method described above can be used to decide whether the brake unit 225 has been activated and a control signal is generated by the motion analyzing unit 2322 to make the brake light turn on.

However, under a special condition, the derived resultant value VA 1 does not easily reach the predetermined threshold value TH 2 , and thus the brake light cannot be turned on. For example, the special condition is that the movable device 22 performs a moderate deceleration on a relatively smooth road or on a relatively less bumpy road, or the movable device 22 travels on a general asphalt road surface at a relatively slow speed, performs a gentle deceleration. In the present disclosure, by calculating each of the vibration values e 1 , e 2 , e 3 , e 4 . . . , the predetermined threshold value TH 2 is adjusted so that the derived resultant value VA 1 is made easier to reach the predetermined threshold value TH 2 to light up the brake light. The warning device 23 further includes a control unit. For example, the control unit is the alarm unit 233 for generating the warning signal Q 1 during the deceleration. In FIG. 1 , a predetermined check algorithm AE 1 has a counting algorithm or an area algorithm, and is used to analyze the plurality of sample average differences DG 1 to obtain the derived resultant value VA 1 .

In FIG. 3 , the average acceleration sequence SF (or the fourth signal) includes the derived resultant value VA 1 (equal to one of a plurality of derived resultant values {va 1 , va 2 , va 3 , va 4 . . . van}) formed from the plurality of sample average value differences DG 1 . The method for deriving the derived resultant value VA 1 is as follows: providing a moving average algorithm AM 1 ; determining two acceleration sample data of different pre-determined sample sizes from the plurality of acceleration data based on the moving average algorithm AM 1 , to generate a plurality of sample average value differences DG 1 ; analyzing the plurality of sample average value differences DG 1 to obtain the derived resultant value VA 1 based on a predetermined check algorithm AE 1 .

In some embodiments provided according to the illustration in FIG. 3 , a decision whether to adjust the predetermined threshold value TH 2 is added. Please refer to FIG. 1 to FIG. 3 , for example, when the motion analyzing unit 2322 confirms that each of the vibration values e 1 , e 2 , e 3 , e 4 . . . en is not less than the first predetermined threshold TH 1 , the second predetermined threshold TH 2 is not adjusted. For example, when the motion analyzing unit 2322 confirms that each of the vibration values e 1 , e 2 , e 3 , e 4 . . . en is less than the first predetermined threshold value TH 1 , the motion analyzing unit 2322 adjusts the second predetermined threshold value TH 2 to a third predetermined threshold value TH 3 , so that the derived resultant value VA 1 can easily reach the third predetermined threshold value TH 3 . When the derived resultant value VA 1 reaches the third predetermined threshold value TH 3 , the warning device 23 generates the warning signal Q 1 . In FIG. 3 , according to the preferred embodiment of the present disclosure, the first predetermined threshold value TH 1 is about equal to 0.099, the first predetermined threshold value TH 2 is about equal to −0.06, and the third predetermined threshold value TH 3 is about equal to −0.039.

In FIG. 2 , the unit of sampling intervals for the raw acceleration data is time (second), the sampling period is approximately every several milliseconds, and then the sample acceleration data is processed by the data processing unit 2321 and is analyzed by the motion analyzing unit 2322 . The processing time thereof is about several milliseconds or tens of milliseconds, depending on the processing efficiency of the warning device 23 . The more efficient the warning device 23 is, the less reaction time it spends, so as to adjust the sensitivity of the warning device 23 immediately, i.e., adjusting the second predetermined threshold value TH 2 . In the time interval of about 0-12.5 seconds, as shown in FIG. 3 , although the vibration value included in third signal (or the sequence SE) is smaller than the first predetermined threshold value TH 1 , the second predetermined threshold value TH 2 will be immediately adjusted to the third predetermined threshold value TH 3 , but at this time, the derived resultant value VA 1 included in fourth signal (or the sequence SF) is not smaller than the third predetermined threshold TH 3 , so the alert unit 233 does not generate the warning signal Q 1 . In the time interval of about 12.5-15.5 seconds, as shown in FIG. 3 , the vibration value included in the third signal (or the sequence SE) is greater than the first predetermined threshold value TH 1 , so the third predetermined threshold value TH 3 is immediately adjusted back to the second threshold value TH 2 . Although the derived resultant value VA 1 included in the fourth signal (or the sequence SF) is less than the third threshold value TH 3 , it is not smaller than the second preset threshold value TH 2 after the instant adjustment, so the alert unit 233 will not generate the warning signal Q 1 . It can be inferred from the same reason in the time interval of about 15.5-22.5 seconds, as shown in FIG. 3 .

In FIG. 3 , for the time interval tp 1 near the 23th second, the derived resultant value VA 1 included in the fourth signal (or the sequence SF) is smaller than the second threshold value TH 2 , and thus the alert unit 233 shortly generates the warning signal Q 1 . Then, for the time interval about between the 25th second the 30th second, starting from the timing terminal TBK, the vibration value included in the third signal (or the sequence SE) is smaller than the predetermined threshold value TH 1 , and thus the second predetermined threshold value TH 2 is adjusted to the third predetermined threshold value TH 3 to keep. During this timing block PBK, the derived resultant value VA 1 is smaller than threshold value TH 3 , especially during several time intervals tp 2 , tp 3 , tp 4 , tp 5 , so that the alert unit 233 generates the warning signal Q 1 , and the warning signal Q 1 is held longer especially during the time interval tp 5 .

In another preferred embodiment, an area algorithm may be used. The motion analyzing unit 2322 may calculate to decide whether the accumulated area during a certain time interval reaches an area threshold ATH 1 (not shown) to decide whether the alert unit 233 generates the warning signal Q 1 . In FIG. 3 , when the time point is about equal to the 13th second, the derived resultant value VA 1 included in the fourth signal (or the sequence SF) starts to enter a negative value, and it can be seen that the fourth signal (or the sequence SF) has a constant periodic in the time intervals for 13-15, 15-17, 17-19, 19-21, 21-23 seconds, and the fourth signal (or the sequence SF) oscillates back and forth between positive and negative accelerations in these time intervals. This represents that the area above and below the horizontal line passing the zero-acceleration value can be almost eliminated in the same cycle of the fourth signal (or the sequence SF), and such an area algorithm is used to decide whether the movable device 22 is in a braking state. From the range of 26-29 seconds of the fourth signal (or the sequence SF), it can be seen that the lower area Ar 1 enclosed by the fourth signal (or the sequence SF) and the horizontal line is not cancelled. At this time, the area threshold ATH 1 can be dynamically adjusted to the area threshold ATH 2 , which makes the motion analyzing unit 2322 to easily decide that the lower area Ar 1 is greater than the area threshold ATH 2 , so that the alert unit 233 generates the warning signal Q 1 , that is, ATH 1 >Ar 1 >ATH 2 .

In another preferred embodiment, when the vibration value included in the third signal (or the sequence SE) is larger than the first predetermined threshold value TH 1 , the derived resultant value VA 1 included in the fourth signal (or the sequence SF) is smaller than the second threshold TH 2 , and the area Ar 1 enclosed by the fourth signal (or the sequence SF) and the horizontal line is greater than the area threshold ATH 1 , the alert unit 233 generates the warning signal Q 1 . When the vibration value included in the third signal (or by the sequence SE) is smaller than the first predetermined threshold TH 1 , the second threshold TH 2 will be adjusted to the third threshold TH 3 , and the area threshold ATH 1 will be adjusted to the area threshold ATH 2 , so that ATH 1 >Ar 1 >ATH 2 . In this case, when the derived resultant value VA 1 included in the fourth signal (or the sequence SF) is smaller than the third threshold TH 3 , and the lower area Ar 1 enclosed by the fourth signal (or the sequence SF) and the horizontal area is greater than the area threshold ATH 2 , the motion analyzing unit 2322 makes the alert unit 233 to generate this warning signal Q 1 .

Please refer to FIG. 4 , which is a schematic diagram showing a method S 10 for adjusting a warning sensitivity of a movable device having a movement according to the preferred embodiment of the present disclosure. The method S 10 includes steps of: step S 101 , providing a motion-weighted algorithm; step S 102 , sensing the movement of the movable device to generate a plurality of acceleration data for a motion identification of the movement; step S 103 , sampling a maximum acceleration value and a minimum acceleration value from the plurality of acceleration data within a specific sampling interval, and calculating a plurality of maximum acceleration weighted-average values and a plurality of minimum acceleration weighted-average values based on the motion-weighted algorithm in order to obtain a plurality of weighted-average value differences; and step S 104 , obtaining a plurality of vibration values based on the plurality of weighted-average value differences, comparing each of the plurality of vibration values with a first pre-determined threshold value to generate a first result, and adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

Please refer to FIG. 5 , which is a schematic diagram showing another method S 20 for adjusting a warning sensitivity of a movable device having a movement according to the preferred embodiment of the present disclosure. The method S 20 includes steps of: step S 201 , sensing a movement of a movable device to generate a plurality of acceleration data associated with a motion identification of the movement; step S 202 , sampling the plurality of acceleration data to obtain a plurality of parameters within a specific sampling interval; step S 203 , comparing each of the plurality of parameters with a first pre-determined threshold value to generate a first result; and step S 204 , adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

In some embodiments of the present disclosure, the first pre-determined threshold value is used to decide whether the warning sensitivity should be adjusted during the specific interval. Each of the plurality of parameters is a vibration value.

Please refer to FIG. 3 again. In another preferred embodiment of the present disclosure, the motion analyzing unit 2322 can adjust the second predetermined threshold value TH 2 to the corresponding third predetermined threshold value TH 3 according to the vibration value e 1 at a first timing point among different threshold value ranges GP 1 , GP 2 , GP 3 . . . GPn. For instance, when the movable device 22 travels along different kinds of road surfaces including steep slopes, down hills, planes and gravel roads, the motion analyzing unit 2322 adjusts the predetermined threshold value TH 2 to the corresponding third predetermined threshold value (such as one of GN 1 , GN 2 , GN 3 . . . GNn) according to a decision which range the vibration value e 1 is located at. In other words, the motion analyzing unit 2322 adjusts the sensitivity of the warning device 23 in real time according to different road surfaces which the movable device 22 travels along.

1. A warning device for adjusting a warning sensitivity of a movable device having a movement comprises a sensing unit, a data processing unit and a motion analyzing unit. The sensing unit senses the movement of the moveable device to generate a plurality of acceleration data associated with a motion identification of the movement. The data processing unit is electrically connected to the sensing unit, and samples the plurality of acceleration data to obtain a plurality of parameters within a specific sampling interval. The motion analyzing unit is electrically connected to the data processing unit, compares each of the plurality of parameters with a first pre-determined threshold value to generate a first result, and adjusts a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

2. The warming device in Embodiment 1, wherein the sensing unit includes an accelerometer and senses a variable acceleration of the movable device to generate the plurality of acceleration data; and the movable device slowly decelerates on one of a relatively smooth road-surface and a relatively non jolting road-surface.

3. The warning device of any one of Embodiments 1-2, wherein the data processing unit includes a first processor, identifies a pair of a maximum acceleration value and a minimum acceleration value from the plurality of acceleration data within the specific sampling interval, and obtains a plurality of maximum acceleration weighted-average values and a corresponding plurality of minimum acceleration weighted-average values; and the data processing unit subtracts each of the plurality of minimum acceleration weighted-average values from the corresponding each of the plurality of maximum acceleration weighted-average values to obtain a plurality of weighted-average value differences.

4. The warning device of any one of Embodiments 1-3, wherein the motion analyzing unit includes a second processor; and the motion analyzing unit acquires a plurality of vibration values based on each of the plurality of weighted-average value differences.

5. The warning device of any one of Embodiments 1-4, wherein the first result includes one of a condition that: the motion analyzing unit adjusts the second pre-determined threshold value to a third pre-determined threshold value when the motion analyzing unit determines a respective one of the plurality of vibration values is less than the first pre-determined threshold value during the specific sampling interval; and the motion analyzing unit does not adjust the second pre-determined threshold value when the motion analyzing unit determines the respective one of the plurality of vibration values is not less than the first pre-determined threshold value during the specific sampling interval.

6. The warning device of any one of Embodiments 1-5, wherein the movable device decelerates at a relatively slow rate on a normal asphalt road; the data processing unit simulates a band pass filter; and the data processing unit is configured to use a motion-weighted algorithm, applying a plurality of first weighted operations to an nth maximum acceleration value and an (n+1)th maximum acceleration value to form the plurality of maximum acceleration weighted-average values, and applying a plurality of second weighted operations to an nth minimum acceleration value and an (n+1)th minimum acceleration value to form the plurality of minimum acceleration weighted-average values, where n is a natural number.

7. The warning device of any one of Embodiments 1-6, wherein the data processing unit further uses a moving average algorithm; the data processing unit determines two acceleration sample data of different pre-determined sample sizes from the plurality of acceleration data based on the moving average algorithm, to generate a plurality of sample average value differences; the motion analyzing unit analyzes the plurality of sample average value differences to obtain a derived resultant value compared with the second pre-determined threshold value to generate a second result based on a pre-determined check algorithm, when the derived resultant value does not reach the second pre-determined threshold value; and the motion analyzing unit adjusts the second pre-determined threshold value to a third pre-determined threshold value when the motion analyzing unit determines a respective one of the plurality of vibration values is smaller than the first pre-determined threshold value during the specific sampling interval, so as to allow the derived resultant value to easily reach the third pre-determined threshold value.

8. The warning device of any one of Embodiments 1-7, wherein the warning device further includes a control unit configured to generate a warning signal while the moveable device is slowly decelerated; the warning device generates the warning signal when the derived resultant value reaches the third pre-determined threshold value; and the pre-determined check algorithm has one of a counting algorithm and an area algorithm for analyzing the plurality of sample average value differences to obtain the derived resultant value.

9. A method for adjusting a warning sensitivity of a movable device having a movement, comprising steps of: providing a motion-weighted algorithm; sensing the movement of the movable device to generate a plurality of acceleration data for a motion identification of the movement; sampling a maximum acceleration value and a minimum acceleration value from the plurality of acceleration data within a specific sampling interval, and calculating a plurality of maximum acceleration weighted-average values and a plurality of minimum acceleration weighted-average values based on the motion-weighted algorithm in order to obtain a plurality of weighted-average value differences; and obtaining a plurality of vibration values based on the plurality of weighted-average value differences, comparing each of the plurality of vibration values with a first pre-determined threshold value to generate a first result, and adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

10. The method in Embodiment 9, further comprising the following steps of: applying a plurality of first weighted operations to an nth maximum acceleration value and an (n+1)th maximum acceleration value to obtain a plurality of maximum acceleration weighted-average values; applying a plurality of second weighted operations to an nth minimum acceleration value and an (n+1)th minimum acceleration value to obtain a plurality of minimum acceleration weighted-average values, where n is a natural number, and the specific sampling interval is a time sampling duration; and subtracting each of the plurality of minimum acceleration weighted-average values from the corresponding maximum acceleration weighted-average values to obtain a plurality of weighted-average value differences for forming a plurality of vibration values.

11. The method of any one of Embodiments 9-10, further comprising the following steps of: providing a moving average algorithm; determining two acceleration sample data of different pre-determined sample sizes from the plurality of acceleration data based on the moving average algorithm, to generate a plurality of sample average value differences; analyzing the plurality of sample average value differences to obtain a derived resultant value compared with the second pre-determined threshold value to generate a second result based on a pre-determined check algorithm, when the derived resultant value does not reach the second pre-determined threshold; adjusting the second pre-determined threshold value to a third pre-determined threshold value when each of the plurality of vibration values is determined to be less than the first pre-determined threshold value during the specific sampling interval, so as to allow the derived resultant value to easily reach the third pre-determined threshold value; and generating a warning signal when the derived resultant value achieves the third pre-determined threshold value.

12. The method of any one of Embodiments 9-11, wherein the first result includes one of a condition that: adjusting the second pre-determined threshold value to a third pre-determined threshold value when each of the plurality of vibration values is determined to be less than the first pre-determined threshold value during the specific sampling interval; and keeping the second pre-determined threshold value when each of the plurality of vibration values is determined to be not less than the first pre-determined threshold value during the specific sampling interval.

13. The method of any one of Embodiments 9-12, wherein the pre-determined check algorithm has one of a counting algorithm and an area algorithm for analyzing the plurality of sample average value differences to obtain the derived resultant value.

14. A method for adjusting a warning sensitivity of a movable device having a movement, comprising steps of: sensing the movement of the movable device to generate a plurality of acceleration data associated with a motion identification of the movement; sampling the plurality of acceleration data to obtain a plurality of parameters within a specific sampling interval; comparing each of the plurality of parameters with a first pre-determined threshold value to generate a first result; and adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.

15. The method in Embodiment 14, further comprising steps of: providing a moving average algorithm; determining two acceleration sample data of different pre-determined sample sizes from the plurality of acceleration data based on the moving average algorithm, to generate a plurality of sample average value differences; analyzing the plurality of sample average value differences to obtain a derived resultant value; comparing the derived resultant value with the second pre-determined threshold value to generate a second result, when the derived resultant value does not reach the second pre-determined threshold value; adjusting the second pre-determined threshold value to a third pre-determined threshold value when each of the plurality of vibration values is determined to be less than the first pre-determined threshold value during the specific sampling interval, so as to allow the derived resultant value to easily reach the third pre-determined threshold value; and generating a warning signal when the derived resultant value achieves the third pre-determined threshold value.

16. The method of any one of Embodiments 14-15, wherein the second pre-determined threshold value is used to determine whether the warning sensitivity should be adjusted during the specific interval; and each of the plurality of parameters is a vibration value.

17. The method of any one of Embodiments 14-16, further using a movement-weighted algorithm comprising the following steps of: determining a maximum acceleration value and a minimum acceleration value from the plurality of acceleration data within a specific sampling interval, and forming a plurality of maximum acceleration weighted-average values and a plurality of minimum acceleration weighted-average values respectively, in order to obtain a plurality of weighted-average value differences; applying a plurality of first weighted operations to an nth maximum acceleration value and an (n+1)th maximum acceleration value to obtain a plurality of maximum acceleration weighted-average values; and applying a plurality of second weighted operations to an nth minimum acceleration value and an (n+1)th minimum acceleration value to obtain a plurality of minimum acceleration weighted-average values, where n is a natural number, and the specific sampling interval is a time sampling duration.

18. The method of any one of Embodiments 14-17, wherein the movement-weighted algorithm suppresses a relative strong vibration resulting from the plurality of maximum acceleration weighted-average values and the plurality of minimum acceleration weighted-average values.

19. The method of any one of Embodiments 14-18, further comprising a step of: subtracting each of the plurality of minimum acceleration weighted-average values from the corresponding maximum acceleration weighted-average values to obtain a plurality of weighted-average value differences for forming a plurality of vibration values.

20. The method of any one of Embodiments 14-19, wherein the motion identification of the movement includes an identification that the movable device is slowly decelerating; and the first result includes one of a condition that: adjusting the second pre-determined threshold value to a third pre-determined threshold value while determining each of the plurality of vibration values is less than the first pre-determined threshold value during the specific sampling interval; and keeping the second pre-determined threshold value while determining each of the plurality of vibration values is not less than the first pre-determined threshold value during the specific sampling interval.

While the invention has been described in terms of what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention need not be limited to the disclosed embodiments. On the contrary, it is intended to cover various modifications and similar arrangements included within the spirit and scope of the appended claims which are to be accorded with the broadest interpretation so as to encompass all such modifications and similar structures.