Mobile terminal and continuous movement detection method

An aspect of this disclosure relates to a mobile terminal and a continuous movement detection method.

Recent cell phones include many functions such as a global positioning system (GPS) function in addition to a standard call function. There exists a cell phone that includes a GPS function and a function to automatically and regularly measure its position using the GPS function and report positional information to, for example, a service provider (this function is hereafter referred to as “auto GPS function”). Here, the GPS function generally consumes a large amount of power. Therefore, it is desired to reduce the power consumption of a cell phone including the auto GPS function.

A related-art mobile terminal includes a position obtaining unit for obtaining positional information indicating its current location using the global positioning system, a movement sensor for detecting movement of the mobile terminal, a storing unit for storing a history of the positional information, and a recording unit that causes the position obtaining unit to newly obtain positional information only when movement is detected by the movement sensor and adds the newly obtained positional information in the storing unit (see, for example, patent document 1). With this configuration, the related-art mobile terminal reduces unnecessary consumption of battery power.

Patent Document

[Patent document 1] Japanese Laid-Open Patent Publication No. 2009-288233

Problems to be Solved by the Invention

To reduce power consumption, a typical cell phone including the auto GPS function is configured, for example, to determine whether the cell phone is moving or stationary based on the result of a continuous walking detection process performed using an acceleration sensor or the result of a sector switching detection process performed using base station area information, and to measure its position and report positional information to a service provider at predetermined intervals when it is determined that the cell phone is moving. Here, in such a cell phone that determines whether it is moving or stationary based on the result of a continuous walking detection process performed using an acceleration sensor, the acceleration sensor needs to be continuously in operation. In other words, in a cell phone that determines whether it is moving or stationary based on the result of a continuous walking detection process, its CPU needs to be always active.

Another type of cell phone, which determines whether it is moving or stationary based on the result of a continuous walking detection process, includes a sub-CPU for an acceleration sensor in addition to a main CPU (or host-CPU) so that the host-CPU can be kept inactive as far as possible and the power consumption is reduced. This method of reducing power consumption, however, makes it necessary for a cell phone to satisfy higher hardware requirements, i.e., to have special hardware such as a sub-CPU for an acceleration sensor.

A cell phone 10 disclosed in patent document 1 includes a pedometer 118 that detects the motion acceleration of the cell phone 10 and measures the number of steps taken by the user based on the detected motion acceleration. The cell phone 10 also includes a CPU 101 including a calculation unit 101 A that calculates a moved distance based on the number of steps measured by the pedometer 118 .

When the moved distance reaches a predetermined value, a recording control unit 101 B of the CPU 101 activates a positioning unit 117 via a power controller 119 to obtain positional information indicating the current position of the cell phone 10 and then deactivates the positioning unit 117 . Thus, the cell phone 10 is configured to cause the positioning unit 117 to stop obtaining positional information while the user is not moving to reduce power consumption.

However, with the configuration of the cell phone 10 of patent document 1, the CPU 101 including the calculation unit 101 A and the recording control unit 101 B is always active. In other words, the cell phone 10 is not configured to reduce power consumption by not activating the CPU 101 as far as possible.

An aspect of this disclosure provides a mobile terminal and a continuous movement detection method that make it possible to reduce power necessary to detect continuous walking without using special hardware.

Means for Solving the Problems

In an aspect of this disclosure, there is provided a mobile terminal that includes a first fixed-interval timer configured to count a first interval; a second fixed-interval timer configured to count a second interval that is longer than the first interval; a motion acceleration detection unit configured to obtain a first period of acceleration data from an acceleration sensor at the first interval and detect motion acceleration based on the first period of acceleration data; a walking state detection unit configured to, when the motion acceleration is detected based on the first period of acceleration data, obtain a second period of acceleration data, which is longer than the first period, from the acceleration sensor and detect a walking state or a non-walking state based on the second period of acceleration data; and a continuous walking determining unit configured to determine that continuous walking is detected when the walking state is detected a predetermined number of times or more within the second interval.

Advantageous Effect of the Invention

An embodiment of the present invention makes it possible to provide a mobile terminal and a continuous movement detection method that can reduce power necessary to detect continuous walking without using special hardware.

FIG. 1 is a drawing used to describe an exemplary method for reducing power consumption in a related-art mobile terminal including an auto GPS function;

FIG. 2 is a drawing used to describe an exemplary method for reducing power consumption in a mobile terminal of an embodiment which includes an auto GPS function;

FIG. 3 is a block diagram illustrating an exemplary hardware configuration of a mobile terminal;

FIG. 4 is a block diagram illustrating an exemplary functional configuration of a mobile terminal according to an embodiment; and

FIG. 5 is a flowchart illustrating an exemplary process performed by a mobile terminal.

Embodiments of the present invention are described below with reference to the accompanying drawings. A mobile terminal according to an embodiment may be any type of apparatus, device, or terminal including an auto GPS function. For example, the mobile terminal may be a mobile communication terminal, a personal digital assistant (PDA), or a smartphone. A smartphone may support an open software platform such as Android (registered trademark). To reduce power consumption in a continuous movement detection process is one of the big challenges particularly for a smartphone.

A mobile terminal according to an embodiment may be configured to reduce power consumption by performing a continuous movement detection process using applications and without using special hardware such as a sub-CPU for an acceleration sensor as described below.

As described above, an auto GPS function of a mobile terminal automatically and regularly measures the position of a user (mobile terminal) using a GPS function and base stations of a telecommunications carrier and reports the measured position to a service provider (contents provider or telecommunications carrier). With the auto GPS function, a mobile terminal can provide various services via applications. For example, a mobile terminal can provide a service to “push” (or deliver) pinpoint weather information or local event information to the user based on the position of the user and an action support service that provides, for example, information on the last train at the nearest station.

<Method for Reducing Power Consumption in Related-Art Mobile Terminal Including Auto Gps Function>

FIG. 1 is a drawing used to describe an exemplary method for reducing power consumption in a related-art mobile terminal including an auto GPS function. FIG. 1 illustrates a method for reducing power consumption in a mobile terminal that determines whether it is moving or stationary based on the result of a continuous walking detection process performed using an acceleration sensor. In the case of FIG. 1 , the mobile terminal includes a sub-CPU for the acceleration sensor in addition to a host-CPU.

FIG. 1 (C) indicates the state of the sub-CPU. As indicated by FIG. 1 (C), the sub-CPU is continuously in operation in the background. The sub-CPU counts the number of steps based on the acceleration detected by the acceleration sensor.

FIG. 1 (B) indicates the state of the host-CPU. As illustrated by FIG. 1 (B), the host-CPU enters an active state from a sleep state only for a predetermined period of time (e.g., 1 sec.) at, for example, 5-minute intervals counted by a fixed-interval timer. The time interval of the fixed-interval timer is not limited to 5 minutes but may be set at any value according to a time interval at which the auto GPS function obtains positional information and reports the positional information to a service provider.

FIG. 1 (A) indicates the state of a continuous walking detection unit. The continuous walking detection unit is activated when the host-CPU is in the active state. The continuous walking detection unit may be a part of a moving/stationary state determining function that determines whether the mobile terminal is moving or stationary based on the result of a sector switching detection process performed using base station area information. The continuous walking detection unit calculates a moved distance based on the number of steps counted by the sub-CPU and thereby detects continuous walking. When continuous walking is detected, a moving/stationary state determining unit causes the GPS function to obtain positional information and report the positional information to a service provider.

In the method of FIG. 1 , the sub-CPU is used to count the number of steps to reduce time for which the host-CPU is in the active state. With the method of FIG. 1 , however, the mobile terminal needs to satisfy hardware requirements, i.e., needs to have the sub-CPU for the acceleration sensor to detect continuous walking with reduced power consumption.

<Method for Reducing Power Consumption in Mobile Terminal of Embodiment Including Auto Gps Function>

FIG. 2 is a drawing used to describe an exemplary method for reducing power consumption in a mobile terminal of the present embodiment which includes an auto GPS function. FIG. 2 illustrates a method for reducing power consumption in a mobile terminal that determines whether it is moving or stationary based on the result of a continuous walking detection process performed using an acceleration sensor. In the case of FIG. 2 , the mobile terminal does not include a sub-CPU for the acceleration sensor and is configured to reduce power consumption through processes performed by applications.

FIG. 2 (B) indicates the state of a host-CPU. As illustrated by FIG. 2 (B), the host-CPU enters an active state from a sleep state only for a predetermined period of time (e.g., 0-5 sec.) at, for example, 1-minute intervals counted by a fixed-interval timer (first fixed-interval timer) for motion acceleration detection. The time interval of the fixed-interval timer for motion acceleration detection is not limited to one minute and may be set at any appropriate value. The host-CPU in the active state obtains raw data (acceleration data) of acceleration detected by the acceleration sensor and performs a motion acceleration detection process, a walking state detection process, and a continuous walking determination process as described below.

In the motion acceleration detection process, motion acceleration is measured based on a predetermined period (e.g., 1 sec.) of acceleration data at 1-minute intervals of the fixed-interval timer for motion acceleration detection, and whether the mobile terminal is completely stationary (where no motion acceleration is detected) or is making any movement (where motion acceleration is detected) is determined.

The walking state detection process is performed following the motion acceleration detection process when motion acceleration is detected. In the walking state detection process, a walking state or a non-walking state is detected based on a predetermined period (e.g., 5 sec.) of acceleration data.

In the continuous walking determination process, it is determined that continuous walking is detected when the walking state is detected two or more times in the walking state detection process within a 5-minute interval counted by a fixed-interval timer (second fixed-interval timer) for moving/stationary state determination. The time interval of the fixed-interval timer for moving/stationary state determination is not limited to 5 minutes but may be set at any value according to a time interval at which the auto GPS function obtains positional information and reports the positional information to a service provider.

At each of timings t 1 through t 3 in the example of FIG. 2 (B), the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is completely stationary since no motion acceleration is detected. Since no motion acceleration is detected, the walking state detection process is not performed at timings t 1 through t 3 following the motion acceleration detection process.

At each of timings t 4 through t 8 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is moving since motion acceleration is detected. Since motion acceleration is detected, the walking state detection process is performed at timings t 1 through t 3 following the motion acceleration detection process. At each of timings t 4 through t 8 , the host-CPU is activated for five seconds, converts raw data of acceleration into the number of steps, and detects a non-walking state.

At timing t 9 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is moving since motion acceleration is detected. Since motion acceleration is detected, the walking state detection process is performed at timing t 9 following the motion acceleration detection process. At timing t 9 , the host-CPU is activated for five seconds, converts raw data of acceleration into the number of steps, and detects a walking state.

At each of timings t 10 and t 11 , similarly to timings t 1 through t 3 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is completely stationary since no motion acceleration is detected. Accordingly, at timings t 10 and t 11 , the walking state detection process is not performed following the motion acceleration detection process.

At each of timings t 12 and t 13 , similarly to timings t 4 through t 8 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is moving since motion acceleration is detected. Since motion acceleration is detected, the host-CPU is activated for five seconds and the walking state detection process is performed at timings t 12 and t 13 following the motion acceleration detection process. At timings t 12 and t 13 , the non-walking state is detected.

At timing t 14 , similarly to timings t 10 and t 11 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is completely stationary since no motion acceleration is detected. Accordingly, at timing t 14 , the walking state detection process is not performed following the motion acceleration detection process.

At each of timings t 15 and t 16 , similarly to timing t 9 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is moving since motion acceleration is detected. Since motion acceleration is detected, the host-CPU is activated for five seconds and the walking state detection process is performed at timings t 15 and t 16 following the motion acceleration detection process. At timings t 15 and t 16 , the walking state is detected. In this example, since the walking state is detected two times at timings t 15 and t 16 within the 5-minute interval of the fixed-interval timer for moving/stationary state determination, it is determined that continuous walking is detected.

At timings t 17 and t 18 , the host-CPU is not activated since the continuous walking has already been detected in the same 5-minute interval of the fixed-interval timer for moving/stationary state determination. At each of timings t 19 and t 20 , similarly to timings t 15 and t 16 , the host-CPU is activated for one second, measures motion acceleration based on raw data of acceleration, and determines that the mobile terminal is moving since motion acceleration is detected. Since motion acceleration is detected, the host-CPU is activated for five seconds and the walking state detection process is performed at timings t 19 and t 20 following the motion acceleration detection process. At timings t 19 and t 20 , the walking state is detected.

FIG. 2 (A) indicates the state of the continuous walking detection unit. The continuous walking detection unit is activated at, for example, 5-minute intervals of the fixed-interval timer for moving/stationary state determination. The continuous walking detection unit may be a part of a moving/stationary state determining function that determines whether the mobile terminal is moving or stationary based on the result of a sector switching detection process performed using base station area information. When it is determined in the continuous walking determination process that continuous walking is detected, a moving/stationary state determining unit causes the GPS function to obtain positional information and report the positional information to a service provider.

In FIG. 2 , a continuous walking detection process is divided into the motion acceleration detection process, the walking state detection process, and the continuous walking determination process. In the continuous walking detection process, the motion acceleration detection process, the walking state detection process, and the continuous walking determination process are performed in this order. The time necessary for the motion acceleration detection process (e.g., 1 sec.) is less than the time necessary for the walking state detection process (e.g., 5 sec.). In the method of FIG. 2 , the walking state detection process is performed following the motion acceleration detection process when motion acceleration is detected to reduce the amount of time when the host-CPU is in the active state.

Also in the method of FIG. 2 , the fixed-interval timer for motion acceleration detection with a time interval (e.g., 1 min.) that is less than the time interval of the fixed-interval timer for moving/stationary state determination (e.g., 5 min.) is used for the motion acceleration detection process. This makes it possible to detect continuous walking with reduced power consumption without using special hardware such as a sub-CPU for the acceleration sensor.

Further in the method of FIG. 2 , when the walking state is detected two or more times within a time interval of the fixed-interval timer for moving/stationary state determination, the motion acceleration detection process is not performed after the detection of the walking state within the same time interval. This makes it possible to further reduce the amount of time when the host-CPU is in the active state.

<Hardware Configuration of Mobile Terminal>

FIG. 3 is a block diagram illustrating an exemplary hardware configuration of a mobile terminal 10 . In the example of FIG. 3 , the mobile terminal 10 is configured as a mobile communication terminal.

As illustrated in FIG. 3 , the mobile terminal 10 includes a central processing unit (CPU) 11 , a random access memory (RAM) 12 , a read-only memory (ROM) 13 , a communications unit 14 , a display unit 15 , an operations unit 16 , a voice input and output unit 17 , a GPS receiver 18 , and an acceleration sensor 19 . The mobile terminal 10 may further include an electronically erasable and programmable ROM (EEPROM).

The CPU 11 executes programs stored in the ROM 13 using the RAM 12 as a work area and thereby controls other components of the mobile terminal 10 . The RAM 12 is a memory allocated to programs executed by the CPU 11 . The ROM 13 , for example, stores programs to be executed by the CPU 11 .

The communications unit 14 performs voice and data communications with external apparatuses such as a base station. The display unit 15 displays characters and images under the control of the CPU 11 . For example, the display unit 15 may be implemented by a liquid-crystal display including a liquid-crystal driving circuit that drives liquid crystal to display characters and images under the control of the CPU 11 .

The operations unit 16 receives user inputs and may be implemented by, for example, buttons and/or a touch panel. The user can input instructions via the operations unit 16 . The operations unit 16 sends the instructions input by the user to the CPU 11 . The voice input and output unit 17 may include a microphone for receiving voice for an outgoing call and a speaker for outputting voice in an incoming call. The GPS receiver 18 measures the current position of the mobile terminal 10 using the GPS system and thereby obtains positional information. The acceleration sensor 19 detects acceleration of the mobile terminal 10 and thereby obtains acceleration data.

The ROM 13 may store a continuous movement detection program that is one of programs for controlling the mobile terminal 10 . The continuous movement detection program may be obtained from a recording medium or downloaded via a network.

For example, storage media such as a CD-ROM, a flexible disk, and a magneto-optical disk that record information optically, electrically, or magnetically, and semiconductor memories such as a ROM and a flash memory that record information electrically may be used as the storage medium.

The CPU 11 loads the continuous movement detection program stored in the ROM 13 into the RAM 13 and executes the continuous movement detection program to perform processes as described below.

<Functional Configuration of Mobile Terminal>

The mobile terminal 10 may include functional units as illustrated in FIG. 4 . FIG. 4 is a block diagram illustrating an exemplary functional configuration of the mobile terminal 10 according to an embodiment. The mobile terminal 10 executes programs including the continuous movement detection program to implement functional units of FIG. 4 as, for example, modules. The mobile terminal 10 may include a continuous walking detection unit 21 , a moving/stationary state determining unit 22 , an auto GPS function unit 23 , a fixed-interval timer (first fixed-interval timer) 24 for motion acceleration detection, and a fixed-interval timer (second fixed-interval timer) 25 for moving/stationary state determination. The continuous walking detection unit 21 includes a motion acceleration detection unit 31 , a walking state detection unit 32 , and a continuous walking determining unit 33 . In FIG. 4 , functional units that are not necessary to describe the present embodiment are omitted.

The motion acceleration detection unit 31 performs the motion acceleration detection process described above. For example, the motion acceleration detection unit 31 measures motion acceleration based on a predetermined period (e.g., 1 sec.) of acceleration data at 1-minute intervals of the fixed-interval timer 24 , and determines whether the mobile terminal is completely stationary (where no motion acceleration is detected) or is making any movement (where motion acceleration is detected).

The walking state detection unit 32 performs the walking state detection process described above. For example, the walking state detection unit 32 performs the walking state detection process following the motion acceleration detection process when motion acceleration is detected. The walking state detection unit 32 detects a walking state or a non-walking state based on a predetermined period (e.g., 5 sec.) of acceleration data.

The continuous walking determining unit 33 performs the continuous walking determination process described above. For example, the continuous walking determining unit 33 determines that continuous walking is detected when the walking state is detected two or more times by the walking state detection unit 32 within a 5-minute interval counted by the fixed-interval timer 25 for moving/stationary state determination.

The moving/stationary state determining unit 22 determines whether the mobile terminal 10 is moving or stationary based on the result of the continuous walking detection process performed using the acceleration sensor 19 or based on the result of a sector switching detection process performed using base station area information. For example, when the continuous walking determining unit 33 determines that continuous walking is detected, the moving/stationary state determining unit 22 causes the auto GPS function unit 23 to obtain positional information and report the positional information to a service provider.

The auto GPS function unit 23 obtains positional information indicating the current position of the mobile terminal 10 using the GPS receiver 18 , and sends the obtained positional information of the mobile terminal 10 via the communications unit 14 to, for example, a service provider.

The fixed-interval timer 24 for motion acceleration detection counts a time interval (e.g., 1 min.) that is less than the time interval (e.g., 5 min.) counted by the fixed-interval timer 25 for moving/stationary state determination. The fixed-interval timer 25 for moving/stationary state determination counts a time interval at which the auto GPS function unit 23 obtains positional information and reports the positional information to a service provider.

<Process Performed by Mobile Terminal>

The mobile terminal 10 , for example, performs a process as illustrated in FIG. 5 . FIG. 5 is a flowchart illustrating an exemplary process performed by the mobile terminal 10 . In FIG. 5 , steps that are not necessary to describe the present embodiment are omitted.

At step S 1 , the fixed-interval timer 25 for moving/stationary state determination starts and counts, for example, 5-minute intervals from the start of a continuous walking detection process. At step S 2 , the fixed-interval timer 24 for motion acceleration detection starts and counts, for example, 1-minute intervals from the start of the continuous walking detection process.

At step S 3 , the motion acceleration detection unit 31 starts obtaining, for example, up to 5 seconds of acceleration data at the intervals of the fixed-interval timer 24 for motion acceleration detection. In step S 4 , the motion acceleration detection unit 31 determines whether motion acceleration is detected based on, for example, one second of acceleration data.

When no motion acceleration is detected based on one second of acceleration data, the motion acceleration detection unit 31 stops obtaining acceleration data at step S 9 . In step S 10 , the fixed-interval timer 25 for moving/stationary state determination determines, for example, whether 5 minutes have passed. When 5 minutes have not passed yet, the fixed-interval timer 24 for motion acceleration detection returns to step S 2 .

When motion acceleration is detected based on one second of acceleration data, the walking state detection unit 32 , at step S 5 , detects the walking state or the non-walking state based on, for example, 5 seconds of acceleration data.

When the non-walking state is detected based on 5 seconds of acceleration data, the motion acceleration detection unit 31 stops obtaining acceleration data at step S 9 . In step S 10 , the fixed-interval timer 25 for moving/stationary state determination determines, for example, whether 5 minutes have passed. When 5 minutes have not passed yet, the fixed-interval timer 24 for motion acceleration detection returns to step S 2 .

When the walking state is detected based on 5 seconds of acceleration data, the walking state detection unit 32 increments a walking flag by 1 at step S 6 . At step S 7 , the continuous walking determining unit 33 determines whether the walking flag is greater than or equal to 2. The walking flag becomes greater than or equal to 2 when the walking state is detected two or more times by the walking state detection unit 32 .

When it is determined that the walking flag is less than 2, the motion acceleration detection unit 31 stops obtaining acceleration data at step S 9 . In step S 10 , the fixed-interval timer 25 for moving/stationary state determination determines, for example, whether 5 minutes have passed. When 5 minutes have not passed yet, the fixed-interval timer 24 for motion acceleration detection returns to step S 2 .

When it is determined that the walking flag is greater than or equal to 2, the motion acceleration detection unit 31 , at step S 8 , enters a sleep state until the next continuous walking determination process (i.e., until the fixed-interval timer 25 for moving/stationary state determination expires) and stops obtaining acceleration data. Step S 8 corresponds to a process performed at timings t 17 and t 18 in FIG. 2 .

When the fixed-interval timer 25 for moving/stationary state determination determines that 5 minutes have passed in step S 8 or S 10 , the process proceeds to step S 11 where the continuous walking determining unit 33 performs the continuous walking determination process. For example, the continuous walking determining unit 33 determines that continuous walking is detected when the walking flag is greater than or equal to 2 and determines that continuous walking is not detected when the walking flag is less than 2. At step S 12 , the continuous walking determining unit 33 resets the walking flag and the process returns to step S 1 .

At timings t 1 -t 3 , t 10 -t 11 , and t 14 in FIG. 2 , steps S 1 -S 4 , S 9 , and S 10 are performed in this order. At timings t 4 -t 8 and t 12 -t 13 in FIG. 2 , steps S 1 -S 5 , S 9 , and S 10 are performed in this order. At timing t 9 in FIG. 2 , steps S 1 -S 7 , S 9 , and S 10 are performed in this order. At timings t 15 -t 16 and t 19 -t 20 in FIG. 2 , steps S 1 -S 8 , S 11 , and S 12 are performed in this order.

<Variation of Mobile Terminal>

The mobile terminal 10 described above is configured to detect a walking state. However, the present invention is not limited to the above described embodiment. For example, there is a technology for determining the type of a vehicle (transportation) based on acceleration data. The mobile terminal 10 may be configured to detect not only continuous walking but also continuous movement on a vehicle.

<Summary>

The embodiments of the present invention make it possible to detect continuous walking using a general-purpose acceleration sensor and applications and eliminate the need to use special hardware such as a sub-CPU for the acceleration sensor and to modify native software. Here, “native software” indicates software specialized for the CPU 11 , the platform, and the API of the mobile terminal 10 . Generally, native software cannot be modified without involving the manufacturer of the mobile terminal 10 and a telecommunications carrier.

The embodiments of the present invention also make it possible to implement a continuous walking detection function (moving/stationary state determining function) that consumes less power by just adding applications to a mobile terminal (smartphone) supporting an open platform such as Android (registered trademark), and thereby makes it possible to lengthen the battery life while providing an auto GPS function that enables various services.

Power saving effects of the above embodiments are estimated based on the conditions described below.

1) During walking, acceleration data is obtained via the acceleration sensor 19 at an interval of about 30 ms.

2) It is assumed that within a day (24 hours), the amount of time for which the user of the mobile terminal 10 moves (or walks) is 8 hours and the amount of time for which the user does not move is 16 hours.

3) Power consumed in measuring and reporting a position via the GPS function and consumed by other functions is not taken into account (i.e., the power saving effects in a moving/stationary state determining process based on detection of continuous walking are estimated).

Here, it is assumed that the battery life in the standby mode is 100%. In a mobile terminal where the host-CPU is continuously active, the battery life is reduced by about 84% during a continuous walking detection process. Meanwhile, in the mobile terminal 10 according to an embodiment of the present invention, the battery life is reduced by only about 16% during a continuous walking detection process. Thus, the embodiments of the present invention make it possible to effectively reduce power consumption necessary to detect continuous walking.

The present invention is not limited to the specifically disclosed embodiments, and variations and modifications may be made without departing from the scope of the present invention.

The above described embodiments and their combinations may be applied to a method, an apparatus, a system, a computer program, a storage medium, and a data structure.

The present international application claims priority from Japanese Patent Application No. 2011-153292 filed on Jul. 11, 2011, the entire contents of which are hereby incorporated herein by reference.

10 Mobile terminal

11 Central processing unit (CPU)

12 Random access memory (RAM)

13 Read-only memory (ROM)

14 Communications unit

15 Display unit

16 Operations unit

17 Audio input and output unit

18 GPS receiver

19 Acceleration sensor

21 Continuous walking detection unit

22 Moving/stationary state determining unit

23 Automatic GPS function unit

24 Fixed-interval timer for motion acceleration detection (first fixed-interval timer)

25 Fixed-interval timer for moving/stationary state determination (second fixed-interval timer)

31 Motion acceleration detection unit

32 Walking state detection unit

33 Continuous walking determining unit