JP2013017614A - Fatigue determination device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately determine fatigue accompanying the movement of a person to be measured.SOLUTION: A fatigue determination device includes: a body part to be mounted on an upper limb of the person to be measured; an acceleration sensor for detecting the acceleration of the body part; and a control part for processing the detected acceleration. The control part includes: an acceleration acquisition part 111 for acquiring time-sequential acceleration from the acceleration sensor in a moving period by walking or running of the person to be measured wearing the body part; a displacement acquisition part for acquiring the displacement of the body part from the acquired time-sequential acceleration; and a determination part 114 for determining the fatigue of the person to be measured according to the acquired displacement and a fatigue determination reference.

Description

  The present invention relates to a fatigue determination device that acquires information for determining the degree of fatigue from physical activity.

  Traditionally, walking and jogging has been recommended to maintain health. While walking tends to increase the walking distance / time and jogging to increase the distance / time, a higher effect tends to be obtained. However, excessive exercise results in accumulation of fatigue, which is counterproductive.

  Therefore, as a method for measuring the degree of fatigue, a fatigue measuring device according to Patent Document 1 (Japanese Patent Laid-Open No. 11-137539) is proposed. This device measures the impact value to the lower limb during running by means of accelerometer-side means attached to the lumbar part of the body, and if it exceeds a certain threshold, it is determined that the lower limb muscle is fatigued.

  Further, in Patent Document 2 (Japanese Patent Application Laid-Open No. 2006-271893), an acceleration sensor is attached to a trunk rather than a peripheral part such as a wrist, muscle vibration is detected from motion acceleration information, and the detected muscle vibration is detected. Determine the degree of fatigue.

JP 11-137539 A JP 2006-271893 A

  However, in the measurement method disclosed in Patent Document 1 (Japanese Patent Laid-Open No. 11-137539), the impact value is greatly affected by the impact absorption performance of the shoe, so that the measurement accuracy error is large.

  Further, in Patent Document 1 (Japanese Patent Laid-Open No. 11-137539) and Patent Document 2 (Japanese Patent Laid-Open No. 2006-271893), it is necessary to attach the accelerometer side means (acceleration sensor) to the waist and trunk. In the case of walking or jogging, vibration from the lower limbs is likely to shift the mounting position of the acceleration sensor, the accuracy of acceleration detection is reduced, or the subject is prevented from exercising due to misalignment, or the position is corrected Therefore, it is necessary to stop the exercise, and accurate fatigue measurement becomes difficult.

  Therefore, an object of the present invention is to provide a fatigue determination device that accurately determines the degree of fatigue associated with the movement of a measurement subject.

  According to one aspect of the present invention, a fatigue determination device includes a main body unit that is worn on an upper limb of a subject, an acceleration sensor that detects acceleration of the main body unit, and a control unit that processes detected acceleration. .

  The control unit includes an acceleration acquisition unit that acquires time-series acceleration from an acceleration sensor during a movement period due to walking or running of the measurement subject wearing the main body unit, and a displacement of the position of the main body unit from the acquired time-series acceleration. A displacement acquisition unit to be acquired, and a determination unit that determines the degree of fatigue of the measurement subject according to the acquired displacement and the fatigue determination criteria.

  According to the present invention, since the body part for determining the degree of fatigue accompanying movement using the acceleration applied to the body part is mounted on the upper limb of the person being measured, the position of the body part is caused by vibration accompanying the movement. Deviation can be avoided, and accurate determination of the fatigue level is possible.

It is an external view of the active mass meter which concerns on embodiment of this invention. It is a figure which shows an example of the use condition of the active mass meter which concerns on embodiment of this invention. It is a figure for demonstrating the concept of the detection of the fatigue degree which concerns on embodiment of this invention. It is a block diagram of the activity meter of the activity meter according to the embodiment of the present invention. It is a functional block diagram of the active mass meter which concerns on embodiment of this invention. It is a graph which shows the change of the acceleration integral value which concerns on embodiment of this invention. It is a block diagram of a data processing device concerning an embodiment of the invention. It is a functional block diagram of the data processor which concerns on embodiment of this invention. It is a processing flowchart concerning an embodiment of the invention. It is a graph which shows the change of the acceleration integral value per step which concerns on embodiment of this invention. It is a processing flowchart concerning an embodiment of the invention. It is a figure for demonstrating the change of the amplitude of the acceleration which concerns on embodiment of this invention. It is a processing flowchart concerning an embodiment of the invention. It is a processing flowchart concerning an embodiment of the invention. It is a figure explaining the example of a screen display concerning an embodiment of the invention.

  An activity meter, which is an example of a fatigue determination device according to an embodiment of the present invention, will be described with reference to the drawings. In the figure, the same parts and components are denoted by the same reference numerals.

  In general, it is known that when a person continuously walks or runs and moves, fatigue occurs with the movement, and the arm tends to swing greatly with the fatigue. Therefore, in the present embodiment, the degree of fatigue is determined from the magnitude of arm swing.

  With reference to FIG. 1, an activity meter 1 according to an embodiment of the present invention includes a main body portion 191 and a clip portion 192. The clip part 192 is provided to fix the activity meter 1 to the clothes of the person to be measured. The main body 191 has a belt passing member on the back surface, and switches 181, 182, and 183 that constitute a part of the operation unit 18 described later, and a display corresponding to the display unit 20 are provided on the front side.

  In the present embodiment, display unit 20 is configured by a liquid crystal display (LCD), but is not limited thereto, and may be another type of display such as EL (Electro Luminescence). Good.

  FIG. 2 shows an example of a usage state of the activity meter 1. Referring to FIG. 2, the activity meter 1 is, for example, wound around the arm of the person's upper limb with a belt through a belt passing member, and supplementarily using a clip portion 192 on a sleeve of clothes. Fixed mounting. In FIG. 2, it is attached to the upper arm, but may be attached to the wrist. In the present embodiment, since the activity meter 1 is mounted on the upper limb, it is possible to avoid the mounting position of the main body 191 being shifted by vibration from the lower limb during walking / running, which may hinder walking / running. Absent.

  FIG. 3 shows an outline of fatigue level detection by arm swing according to the present embodiment. For example, exercise such as jogging involves swinging the arm, but as shown in Fig. 3, there is no fatigue at the beginning of the exercise and the swing of the arm is small, but during the exercise it gradually gets tired and unconsciously increases the swing of the arm. And come to cover fatigue. Accordingly, an acceleration sensor is attached to the upper limb, and the magnitude of the arm swing can be detected by the acceleration measured by the acceleration sensor along with the arm swing.

  In the present embodiment, the magnitude of arm swing at the beginning of exercise (without fatigue) is compared with the magnitude of arm swing during exercise thereafter, that is, acceleration information at the beginning of exercise, and then acceleration information during exercise. And determine fatigue based on the result of the comparison.

  The result of this determination is reported as the degree of fatigue and is also presented as advice for preventing excessive exercise. In addition, the pace of jogging is induced in accordance with the degree of fatigue of the measurement subject so that efficient exercise is directed. A specific configuration and method for this purpose will be described below.

  Referring to FIG. 4, the activity meter 1 includes a control unit 10, a memory 15, an acceleration sensor 16, a power source unit 17 including a battery for supplying power to each unit of the activity meter 1, and an operation Unit 18, audio output unit 19 for outputting audio, display unit 20, communication unit 21 for communicating with various external devices including data processing device 30, and timer for timing and outputting time data 22.

  In the activity meter 1, the acceleration sensor 16 is provided to detect acceleration applied to the main body 191 of the activity meter 1 by swinging the arm. The acceleration sensor 16 is a triaxial acceleration sensor that can detect accelerations in three directions (X, Y, Z) orthogonal to each other. When the active mass meter 1 is worn on the measurement subject in a predetermined wearing manner, the acceleration sensor 16 has a first direction (in the wearing state shown in FIG. 2, the vertical direction (vertical direction)) and the first direction. The posture is such that it can detect acceleration in three directions in the second and third directions (in the mounting state shown in FIG. 2, in the horizontal two directions (front-rear direction and left-right direction)). As the acceleration sensor 16, a sensor of any principle such as a capacitance type sensor or a piezoelectric type sensor can be used.

  Since the direction of arm swing mainly coincides with the traveling direction, the acceleration sensor 16 may be a uniaxial acceleration sensor that detects acceleration in the X direction in FIG. In view of the fact that it changes over time or varies from person to person, a triaxial acceleration sensor 16 that detects acceleration in the three directions X, Y, and Z in FIG. 3 is used.

  The control unit 10 is composed of a microcomputer (microcomputer) or the like, and according to a program stored in advance, various calculation processes related to the amount of activity for physical movements such as step count measurement, determination criteria setting, walking and running, etc. In addition, it has a function of executing control of each unit including the display unit 20, the audio output unit 19, and the communication unit 21.

  Specifically, the control unit 10 includes a CPU (Central Processing Unit) 11, a memory 12 for storing program data for controlling the activity meter 1, and an interface 14 for input / output from / to the outside. . The memory 12 also has a work area during program execution.

  The operation unit 18 includes switches 181 to 183 operated by the measurement subject to input various instructions such as reset, input of various setting values, display switching, and the like.

  The communication unit 21 transmits / receives data to / from an external device including a portable terminal including a mobile phone, a data processing device 30 such as a home or medical computer, and a health device (such as a blood pressure meter or a body fat meter) by wireless communication or wired communication. This is an external interface. It has a function of transmitting the measurement result from the activity meter 1 to an external device. The configuration of the data processing device 30 will be described later with reference to FIGS.

  The memory 15 is a storage medium that stores data such as measurement results, information on the measurement subject (physical information including gender, age, weight, height, and the like).

  Referring to FIG. 5, CPU 11 functions as an acceleration acquisition unit 111 for acquiring acceleration based on an output signal from acceleration sensor 16, arm swing detection unit 112, detection result of arm swing detection unit 112, and timer. 22 includes a storage unit 113 for generating a record R to be stored in association with the time ta based on the time data from 22 and storing the record R in the memory 12. The time ta indicates the time when the corresponding detection result (integral value or amplitude average value) is calculated. If the detection result and the time ta are associated, the storage format of the memory 12 is not limited to that using the record R. Further, the storage unit 113 stores the detection result (integral value Sa or average amplitude value) acquired at the initial stage of exercise in the memory 12 as an initial value.

  The arm swing detection unit 112 corresponds to an acceleration displacement acquisition unit that acquires the magnitude of arm swing from the displacement of acceleration acquired by the acceleration acquisition unit 111. Specifically, an integration unit 1121 for integrating the acceleration acquired by the acceleration acquisition unit 111 over a unit time and an amplitude detection unit 1122 are included. A value acquired by integrating the acceleration over a unit time (20 seconds) by the integration unit 1121 is referred to as an integration value Sa. The amplitude detection unit 1122 acquires the average value of the amplitude of acceleration acquired by the acceleration acquisition unit 111, and the value is referred to as an amplitude average value.

  Further, the CPU 11 outputs a determination unit 114 having a comparison unit 115 that compares the detection result (integral value or amplitude average value) of the record R in the memory 12 with the initial value, and the determination result by the determination unit 114. The output part 116 is provided. The determination unit 114 determines the fatigue of the measurement subject based on the comparison result of the comparison unit 115.

  The function of each unit shown in FIG. 5 is configured by a program or a combination of a program and a circuit. The program is stored in the memory 12 in advance, and the function of each unit is realized by the CPU 11 reading the program from the memory 12 and executing the instructions of the program.

  The acceleration acquisition unit 111 calculates the acceleration in each direction (X, Y, Z) by processing the acceleration signal (voltage signal) from the acceleration sensor 16, and synthesizes the acceleration in each direction (X, Y, Z). As a result, the combined acceleration S is calculated. The synthetic acceleration S increases as the swing of the arm increases, that is, as the acceleration applied to the main body 191 of the activity meter 1 increases.

  The integrating unit 1121 calculates an integral value Sa by performing second-order integration over the unit time for the resultant acceleration S acquired over the unit time. Therefore, the integral value Sa indicates the displacement (movement distance) of the main body 191 of the activity meter 1 that accompanies arm swing.

  In the present embodiment, a unit time measured by the time data from the timer 22, for example 20 seconds, is applied as the integration time for calculating the integrated value Sa of the resultant acceleration S. However, the present invention is not limited to this. Absent.

  FIG. 6 is a graph showing the results of the inventors' experiment. In the graph of FIG. 6, the integration value Sa is taken on the vertical axis, and the elapsed time (unit: sec) is taken on the horizontal axis. In the experiment, when the active mass meter 1 is mounted on the upper arm of the person to be measured and the integral value Sa of acceleration acquired every 20 seconds during the jogging of the person to be measured is plotted, the line graph of FIG. 6 is obtained. According to the linear function equation (linear equation in FIG. 6) obtained by linearly approximating the integral value Sa plotted every 20 seconds, the integral value Sa increases as time elapses. It turns out that it becomes large and fatigue increases. FIG. 6 shows a case where the measurement subject is jogged to the limit of physical strength. According to the graph, the integral value Sa at the limit is 1.8 times the integral value Sd at the initial stage of exercise (at the initial stage). It can be seen that the integrated value Sd is increased by about 80%.

  With reference to the flowchart of FIG. 9, the fatigue determination process during jogging will be described. The person to be measured designates the jogging mode as the operation mode by operating the operation unit 18 at the start of jogging. When the CPU 11 accepts the operation, the CPU 11 reads the program according to the flowchart from the memory 12 and starts executing the program. Thereby, the determination process is started together with the start of jogging. In the process, the integral value Sa is used as a variable in which the integral value is set.

  First, the acceleration acquisition unit 111 derives the acceleration S based on the acceleration from the acceleration sensor 16. The integration unit 1121 of the arm swing detection unit 112 calculates the integration value Sa by integrating the acceleration S input over a unit time (20 seconds) (step S1, step S3). The calculated integration value Sa is stored in the memory 12 as the initial integration value Sd by the storage unit 113 (step S5).

  Thereafter, the integration unit 1121 sets zero (0) to the integration value Sa (step S7), and integrates the acceleration S input from the acceleration acquisition unit 111 over a unit time (20 seconds) (step S9, Step S11), the integral value Sa is calculated. The storage unit 113 generates a record R that stores the calculated integral value Sa in association with the time ta, and stores the record R in the memory 12.

  The determination unit 114 reads the stored record R from the memory 12 every time the record R is stored, and compares the integration value Sa of the read record R with the initial integration value Sd read from the memory 12. To give. The comparison unit 115 compares the initial integration value Sd with the integration value Sa and outputs a comparison result. The comparison result is derived as (Sa / Sd).

  If the determination unit 114 determines that the integral value Sa has increased from the initial integration value Sd based on the comparison result and the rate of the increase is less than 40% (YES in step S13), the output unit 116 indicates “ Outputs the judgment result of “low fatigue”.

  On the other hand, although the rate of increase exceeds 40% (NO in step S13), if it is determined that it is less than 60% (YES in step S15), a determination result of “being fatigued” is output (step S19), and 60% If it is determined as above (NO in step S15), “high fatigue” is output as the determination result.

  The output unit 116 displays the determination result on the display unit 20 as an image. Alternatively, the voice output unit 19 outputs the voice. Alternatively, it is stored in the record R of the memory 12 used for the current determination. As a result, the record R stores the integral value Sa, the time ta, and the determination result in association with each other.

  Thereafter, the process returns to step S7, the integral value Sa is calculated for the next unit time (20 seconds), and the subsequent processes are similarly performed for the calculated integral value Sa.

  When an instruction for canceling the jogging mode is input from the operation unit 18, the CPU 11 receives the input as an interrupt, thereby ending the determination process of FIG.

  In this way, it is possible to determine and notify the fatigue level based on the information on the acceleration generated by the measurement subject's walking / running arm swing.

(Detects arm swing based on integrated value per step)
Since the walking / running arm swing is synchronized with the walking / running pitch, the above-described fatigue level is determined based on information on acceleration generated by the arm swinging for each step. As a result, even if the walking / running pitch changes, the degree of fatigue can be determined based on the magnitude of the arm swing.

  Here, the integral value Sa of the acceleration S per step is calculated every unit time (20 seconds), the initial integration value Sd is compared with the integral value Sa, and the degree of fatigue is determined based on the comparison result. .

  That is, focusing on the fact that walking / running is performed in synchronization with arm swing, the arm swing detection unit 112 acquires a time-series change in acceleration S (corresponding to a waveform in FIG. 12 described later), From this waveform, the number of periodic changes in the acceleration S per unit time (20 seconds) is detected, and the total number of steps steps per unit time is calculated based on the detected number.

  According to the inventors' experiment, the time series change of the integral value Sa and the time series change of the step number steps are shown in a graph on the left side of FIG. 10, and the values in the two graphs on the left side are divided on the right side. Thus, an integrated value (Sa / steps) per step in unit time is obtained, and the time series change is shown in a graph.

  According to the graph, as shown by a linear function expression (linear expression on the right side of FIG. 10) obtained by linear approximation of the integrated value (Sa / steps) per step plotted every 20 seconds, time It can be seen that the integrated value (Sa / steps) increases as time elapses, that is, the swing of the arm per step increases and fatigue tends to increase.

  With reference to the flowchart of FIG. 11, the fatigue determination process based on the integrated value per step (Sa / steps) will be described. When the CPU 11 accepts the jog mode designation operation by the measurement subject, the CPU 11 reads the program according to the flowchart from the memory 12 and starts executing the program.

  First, the acceleration acquisition unit 111 acquires the acceleration S based on the input from the acceleration sensor 16 together with the start of jogging, and the integration unit 1121 calculates the integration value Sa based on the acceleration S. Further, as described above, the total number of steps step per unit time is calculated based on the periodic change of the acceleration S (step S31, step S33). Then, the arm swing detection unit 112 calculates an integrated value (Sa / steps) per step based on the calculated integrated value Sa and the step count steps. The calculated integration value (Sa / steps) is stored in the memory 12 as the initial integration value Sd by the storage unit 113 (step S35).

  After that, the integration unit 1121 sets the integration value Sa and the step count variable to zero (0) (step S37), and integrates the acceleration S input from the acceleration acquisition unit 111 over a unit time (20 seconds). An integral value Sa is calculated. Also, the total number of steps step per unit time is calculated (step S39, step S41). Then, the arm swing detection unit 112 calculates an integrated value (Sa / steps) per step based on the calculated integrated value Sa and the step count steps.

  The storage unit 113 generates a record R to be stored in association with the integral value (Sa / steps) and the time ta input from the timer 33, and stores the record R in the memory 12.

  Each time the record R is stored, the determination unit 114 reads the stored record R from the memory 12, the integrated value (Sa / steps) of the read record R, and the initial integrated value Sd read from the memory 12. Is given to the comparison unit 115. The comparison unit 115 compares the initial integration value Sd with the integration value (Sa / steps) and outputs a comparison result. Based on the comparison result, the determination unit 114 and the output unit 116, based on the increase rate threshold (40%, 60%), based on the comparison result, the degree of fatigue (“fatigue”, “fatigue”, "Fatigue" is determined, and the determination result is output (steps S43 to S50).

  Thereafter, the process returns to step S37, the integral value (Sa / steps) is calculated for the next unit time (20 seconds), and the subsequent processes are similarly performed.

  In addition, regarding the determination process of FIG. 11, when an instruction for canceling the jogging mode is input from the operation unit 18, the CPU 11 receives the input as an interrupt, thereby ending the series of processes.

  As described above, the degree of fatigue can be determined and notified based on the information on the acceleration generated by the arm swing according to the walking / running pitch of the measurement subject.

(Detects arm swing based on acceleration signal amplitude)
In the above description, the integrated value Sa is used as the displacement of acceleration. Instead, the average value of the amplitude of the acceleration S in unit time (20 seconds) is measured as the displacement of acceleration, and the unit time at the initial stage of exercise is measured. The fatigue level is determined by comparing with the average value of the amplitude.

  The acceleration S indicating the displacement of the position of the main body 191 of the activity meter 1 calculated based on the output from the acceleration sensor 16 changes sinusoidally in conjunction with the swing of the arm as shown in FIG. The magnitude of the arm swing can be detected from the average value of the magnitude of the amplitude of the sine wave detected per unit time.

  The fatigue determination process based on the average amplitude value of the acceleration S will be described with reference to the flowchart of FIG. When the CPU 11 accepts the jog mode designation operation by the measurement subject, the CPU 11 reads the program according to the flowchart from the memory 12 and starts executing the program.

  First, the acceleration acquisition unit 111 acquires the acceleration S from the output of the acceleration sensor 16 at the start of jogging. The amplitude detector 1122 acquires the acquired acceleration S in the order of acquisition, that is, by plotting it in a predetermined area of the memory 12 in time series, thereby acquiring the sinusoidal waveform data shown in FIG. The amplitude detector 1122 calculates the average value Amp of the amplitude per unit time from the waveform data (steps S51 and S53). The calculated average amplitude value Amp is stored in the memory 12 by the storage unit 113 as the initial average amplitude value Ad (step S55).

  Thereafter, the arm swing detection unit 112 sets zero (0) to the average amplitude value Amp (step S57), and the amplitude detection unit 1122 covers the acceleration S input from the acceleration acquisition unit 111 over a unit time (20 seconds). The amplitude average value Amp is calculated (step S59, step S61).

  The storage unit 113 generates a record R to be stored in association with the amplitude average value Amp and the time ta input from the timer 33, and stores the record R in the memory 12.

  Each time the record R is stored, the determination unit 114 reads the stored record R from the memory 12 and compares the amplitude average value Amp of the read record R with the initial amplitude average value Ad read from the memory 12. To part 115. The comparison unit 115 compares the initial amplitude average value Ad with the amplitude average value Amp and outputs a comparison result. Based on the comparison result, the determination unit 114 and the output unit 116 are similar to the procedure described with reference to FIG. "," Fatigue ") is determined, and the determination result is output (steps S63 to S71).

  Thereafter, the process returns to step S57, the amplitude average value Amp is detected for the next unit time (20 seconds), and the subsequent processes are similarly performed.

  13, when an instruction for canceling the jogging mode is input from the operation unit 18, the CPU 11 accepts the input as an interrupt to end the series of processes.

  In this way, the degree of fatigue can be determined and notified based on the information (amplitude average value) of the acceleration S generated by the arm swing during walking / running of the measurement subject.

(Notification of advice)
FIG. 14 shows a flowchart for notifying the above-mentioned fatigue level (“fatigue”, “fatigue”, “fatigue”) but notifying advice regarding the pace of walking / running (jogging). .

  In the flowchart of FIG. 14, the integration value Sa and the initial integration value Sd of the acceleration S are calculated as shown in steps S1 to S11 of FIG. 9 (steps S81 to S91), and the comparison result is derived as (Sa / Sd). Is done.

  If the determination unit 114 determines that the integral value Sa is greater than the initial integration value Sd based on the comparison result and the rate of increase is less than 5% (YES in step S93), the output unit 116 determines “ The advice "Let's increase the pace" is output.

  On the other hand, although the rate of increase exceeds 5% (NO in step S93), if it is determined that it is less than 20% (NO in step S95), the output unit 116 outputs an advice to “continue at this pace”. (Step S101) If it is determined that the rate is 20% or more (YES in Step S95), an advice “Let's lower the pace” is output.

  The output unit 116 displays the advice on the display unit 20 as an image. Alternatively, the voice output unit 19 outputs the voice. Alternatively, it is stored in the record R of the memory 12 used for the current determination. As a result, the record R stores the integral value Sa, the time ta, and the determination result in association with each other.

  Thereafter, the process returns to step S87, the integral value Sa is calculated for the next unit time (20 seconds), and the subsequent processes are similarly performed for the calculated integral value Sa.

  In the determination process of FIG. 14 as well, when an instruction to cancel the jogging mode is input from the operation unit 18, the CPU 11 accepts the input as an interrupt, thereby ending the series of processes.

  Here, the integral value Sa is used, but an integral value per step (Sa / steps) or an amplitude average value Amp may be used. In this way, advice regarding the pitch of the exercise can be notified based on the information on the acceleration generated by the arm swing during the walking / running motion of the measurement subject.

  Note that the threshold values (40%, 60%, 5%, 20%), which are the criteria for determining the degree of fatigue to be compared with the comparison results in the respective flowcharts described above, are examples, and are not limited to these values. In other words, since the way of swinging the arm varies among individuals, it may be variably changed for each person to be measured. For example, the measurement subject operates the operation unit 18 when he / she becomes aware of a predetermined level of fatigue (eg, a limit, about 70% of the limit, etc.) during jogging. The CPU 11 temporarily stores the integral value Sa acquired immediately before or after the operation in the memory 12, compares it with the initial time integral value Sd, and calculates an increase rate from the initial time integral value Sd based on the comparison result. The calculated increase rate is temporarily stored in the memory 12. Then, at the start of the next jogging (next jogging mode designation), the threshold for the above determination may be variably set using the stored increase rate.

  Note that when the jogging mode designation operation is performed, which of the determination processes in FIGS. 9, 11, 13, and 14 is to be executed is selectively selected by the operation of the operation unit 18 of the measurement subject. May be specified.

(Display example)
FIG. 15 shows a screen display example by the output unit 116 according to the present embodiment. In FIG. 15A, the determined fatigue level, that is, the calculated value (unit:%) of ((Sa / Sd) × 100) by the determination unit 114 is displayed. In the flowchart of FIG. 14, for example, advice on the pace of exercise (jogging) is displayed as shown in FIG.

  Moreover, you may make it show a fatigue degree and advice with a pattern. In FIG. 15C, the fatigue level (or the pace of jogging) is presented by moving an icon that is a human pattern on the fatigue level scale bar. According to FIG. 15C, since the icon matches the “KEEP” range of the scale bar, the subject is moderately fatigued and is advised to maintain the current jogging pace. .

  As shown in FIG. 15D, the degree of fatigue (or jogging pace) may be presented by an indicator pattern. In FIG. 15D, since the indicator bar extends to the range of “KEEP”, the subject is moderately fatigued and is advised to maintain the current jogging pace. .

  Further, as shown in FIG. 15E, the degree of fatigue (or jogging pace) may be indicated in the direction of the arrow. According to (E) of FIG. 15, since the display mode (to flashing display) of the right arrow in the middle changes, it can be understood that the measurement subject only needs to maintain the current pace of jogging.

  Since it may be troublesome to check the display unit of the device worn on the arm during jogging, it may be notified together with an alarm sound.

  In FIG. 15F, a guide for the subsequent exercise time may be displayed according to the degree of fatigue. For example, a linear equation as shown in FIG. 6 is acquired during jogging, and the grace time from the current integral value Sa until reaching the integral value Sa, which is the limit of fatigue, is estimated and notified from the equation. In the example of FIG. 15F, it is advised that an exercise of another 20 minutes is appropriate. This enables advice that can prevent excessive exercise or high-speed exercise.

  Further, according to the present embodiment, fatigue determination results can also be stored in each record R, so that the determination results can be displayed in time series at the end of jogging. As a result, the measurement subject can easily confirm the change in the fatigue level during jogging.

(Modification)
In the present embodiment, the data in the memory 12 (data including the record R and the initial integration value Sd) or the output from the acceleration sensor 16 is transmitted to an external device such as the communication unit 21 data processing device 30. Instead of the activity meter 1, an external device can perform data processing such as determination processing and display processing according to the above-described flowcharts.

  FIG. 7 shows the configuration of the data processing device 30 according to the present embodiment. Referring to FIG. 7, data processing device 30 has a configuration corresponding to a computer. Specifically, CPU (Central Processing Unit) 31, memory 32 for storing programs and data, timer 33, activity A recording medium 38 such as an interface 36, a display unit 35, an operation unit 34, and a CD-ROM (Compact Disc Read Only Memory) that controls a communication function for communicating with the meter 1 is detachably mounted, and the mounted recording A medium access unit 37 for accessing data on the medium 38 is provided.

  FIG. 8 shows a functional configuration of the data processing device 30. Referring to FIG. 8, as functions of CPU 11, data receiving unit 311 for receiving data given through interface 36 or medium access unit 37, data storage for storing received data in memory 32 312, an operation receiving unit 313 for receiving an operation of the measurement subject via the operation unit 34, and a display processing unit 314 for displaying an image on the display unit 35.

  In operation, when the activity meter 1 and the data processing device 30 communicate with each other, the data receiving unit 311 receives the record R and the initial integration value Sd transmitted from the activity meter 1 through the interface 36, for example. The data is stored in the memory 32 by the data storage unit 312. Here, the data receiving unit 311 is assumed to receive from the activity meter 1 via the interface 36, but the medium access unit 37 to which the recording medium 38 storing the record R and the initial integration value Sd is attached is recorded. It may be accepted by reading from the medium 38.

  When the measurement subject performs a display operation via the operation unit 34, the operation reception unit 313 receives the operation and outputs an instruction based on the received display operation to the display processing unit 314. In response to the instruction, the display processing unit 314 reads the record R and the initial integration value Sd from the memory 32 or the recording medium 38, and executes a program according to each of the above-described flowcharts based on the read record. Display processing on the display unit 35 is performed. The program according to the flowchart is stored in advance in the memory 32, and is read and executed by the CPU 31. Similarly, the data processing device 30 can execute the processing of FIG. 13 using the average amplitude value Amp based on the data received from the activity meter 1.

  In this manner, instead of the activity meter 1, the data processing device 30 can perform determination and display processing. Therefore, the measurement subject can check information on the display unit 35 which is a relatively large display area instead of the display unit 20 which is a relatively small display area.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  DESCRIPTION OF SYMBOLS 1 Activity meter, 16 Acceleration sensor, 18, 34 Operation part, 30 Data processing apparatus, 111 Acceleration acquisition part, 112 Arm swing detection part, 113 Storage part, 114 Judgment part, 115 Comparison part, 116 Output part, 191 Main body part , 192 clip unit, 311 data reception unit, 312 data storage unit, 313 operation reception unit, 314 display processing unit, 1121 integration unit, 1122 amplitude detection unit, Ad initial amplitude average value, Amp amplitude average value, R record, S Synthetic acceleration, Sa integrated value, Sd initial integrated value, steps step count, ta time.

Claims (8)

A main body part to be worn on the upper limb of the measurement subject;
An acceleration sensor for detecting the acceleration of the main body,
A control unit for processing the detected acceleration,
The controller is
An acceleration acquisition unit that acquires time-series acceleration from the acceleration sensor during a movement period of walking or running of the measurement subject wearing the main body;
A displacement acquisition unit that acquires the displacement of the position of the main body from the acquired time-series acceleration;
A fatigue determination apparatus comprising: a determination unit that determines the degree of fatigue of the measurement subject according to the acquired displacement and a fatigue determination criterion. The displacement acquisition unit
Obtain the initial displacement obtained in the unit time at the start of movement and the initial post displacement obtained in the subsequent unit time,
The determination unit
A comparison unit that compares the acquired initial displacement and the initial post displacement;
The fatigue determination device according to claim 1, wherein the comparison result by the comparison unit is compared with the fatigue determination criterion, and the degree of fatigue is determined based on the comparison result. The displacement acquisition unit
The fatigue determination apparatus according to claim 2, further comprising an integration unit that integrates the acquired time-series acceleration over the unit time and outputs an integrated value as the displacement. The displacement acquisition unit
Based on changes in time-series acceleration, get the number of steps per unit time,
The fatigue determination apparatus according to claim 3, wherein an integrated value corresponding to one step period is acquired as the displacement from the integrated value output by the integrating unit and the number of steps. The displacement acquisition unit
The fatigue determination apparatus according to any one of claims 2 to 4, wherein an average value of amplitudes of the waveform in unit time is acquired as the displacement from a waveform indicated by a time-series acceleration change.   The fatigue determination device according to any one of claims 1 to 5, wherein a movement pace of the measurement subject is determined according to the acquired displacement and a pace determination criterion. Means for acquiring, in a time series, acceleration applied to a main body part to be worn on an upper limb of the measurement subject during a movement period by walking or running of the measurement subject;
Means for acquiring the displacement of the position of the main body from the acquired time-series acceleration;
A processing apparatus comprising: means for determining the degree of fatigue of the measurement subject according to the obtained displacement and a fatigue determination criterion. Acquiring in a time series the acceleration applied to the main body mounted on the upper limb of the measurement subject during the movement period due to walking or running of the measurement subject;
Obtaining a displacement of the position of the main body from the acquired time-series acceleration;
Determining the degree of fatigue of the measurement subject according to the acquired displacement and a fatigue determination criterion.

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