JPH0877322A - Pedometer - Google Patents

Abstract

PURPOSE: To obtain a high-accuracy pedometer with which adaptive mask time can be automatically selected and adaptive step width data can be automatically selected without stopping the motion of a user. CONSTITUTION: A body action detecting means 101 detects body action and stores it in a body action quantity storage means 102. A body action type data storage means 104 previously stores the quantity of body action by the kinds of body action and compares it with the detected body action quantity while using a body action quantity comparing means 103. A mask time data storage means 108 previously stores the mask time by the body action kinds. A mask time deciding means 107 decides the mask time corresponding to the kind of body action decided by the body action quantity comparing means 103. A walk signal preparing means 106 converts a body action signal detected by the body action detecting means 101 to a digital signal synchronized with walking. A walk signal output inhibiting means 111 inputs the mask time data by the body action kinds decided by the mask time deciding means 107 and inhibits the output of a walk signal to the number of steps arithmetic means 109 for fixed time.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a step count measuring device for detecting walking and running and displaying a step count value.

[0002]

2. Description of the Related Art In recent years, exercise walking such as jogging for the purpose of improving the health of individuals has become popular. As a device for assisting the movement, a step count measuring device has been considered, in which the body movement is detected by an acceleration sensor using a piezoelectric element having a cantilever structure and the number of steps is calculated. Further, a step count measuring device is also considered in which step length data is input in advance, body movements are detected, and the walking distance is displayed by calculation with the calculated step count.

FIG. 6 shows the output of the acceleration sensor when the above step count measuring device is worn on the arm and the arm walks while descending the arm in the forward and backward directions. The amplification factor of the amplifier is 750 times. FIG. 6A shows a step pace 120 (STE) for one minute.
This is the output signal of the acceleration sensor when walking at P / min. FIG. 6B shows a step pace 150 (STE
(P / min) is an output signal of the acceleration sensor when walking fast. FIG. 6C shows a step pace 180 (ST
This is the output signal of the acceleration sensor when the vehicle travels at (EP / min).

Since the output of the acceleration sensor detects the movement of the arm in the front-rear direction, one cycle of the arm is shown from one apex to the next apex of the output waveform. In addition, two steps are taken for each cycle of movement of the arm. That is, the number of steps for every two steps can be counted by detecting the peak of the output waveform with respect to the body movement of the acceleration sensor. To detect the apex portion, the output of the acceleration sensor, which is an analog signal, is converted into a digital signal by comparing with a certain detection level voltage, and the number of steps is counted.
This is shown in FIG.

However, in FIG. 7, depending on the setting of the detection level voltage, two apexes such as those in the section (A) may appear. In the section (A), there is a problem that the detected number of steps is detected more than it actually is. Therefore, it is known to provide a dead band section in which detection is stopped for a certain period of time. The method of setting the dead band section has a large error in one type of dead band section considering human walking to running, and it is practical to change the dead band section depending on the type of exercise, for example, walking, walking fast, or running. is there. Therefore, conventionally, a plurality of dead band times are stored in the mask time data storage means 505 as shown in FIG. 5, the type of exercise is selected by the exercise selection input means 512, and the selected exercise is performed by the mask time selection means 504. A suitable dead band time was selected.

Further, it is known that the step length of a person with respect to each of walking, fast walking and running motions becomes longer as the walking or running pace becomes faster. Therefore, conventionally, as shown in FIG. 5, stride data input means 510 inputs stride data while looking at display means 511 so that a desired stride is obtained, and stride data storage means 509 stores a plurality of stride data. Next, the type of exercise is selected by the exercise selection input unit 512, and the step data for each exercise is selected by the step selection unit 508 from the plurality of step data stored in the step data storage unit 509, and the step number calculation unit 506 is performed.
There has been known a step count measuring device for calculating a walking distance by the distance calculating means 507 from the step count calculated in step 1 and the selected step length data.

[0007]

However, in such a conventional step number measuring apparatus, when changing the exercise state, the user needs to switch the mask time or the step data by the switch input operation. However, there are problems that the switching input operation is troublesome and that the exercise has to be stopped once. Therefore, an object of the present invention is to provide a highly accurate step count measuring device which can automatically select a mask time which is an appropriate dead band time without stopping the user's exercise, and automatically select an appropriate step length data. To get.

[0008]

In order to solve the above problems, the present invention firstly relates to a body movement type data storage means for storing a plurality of body movement amount data in advance, and a body movement amount detected by a body movement detecting means. Body movement amount storing means for storing the body movement amount, means for comparing the detected and stored body movement amount with the body movement amount stored in the body movement type data storage means for determining the type of body movement, and prohibition of the walking signal output prohibiting means The mask time data storage means for storing a plurality of times and the mask time selection means for selecting the mask time according to the type of body movement determined by the body movement amount comparison means are provided.

Secondly, the body movement amount data input means for storing the detected body movement amount stored in the body movement amount storage means in the body movement type data storage means is provided in the first configuration. Third,
Body movement type data storage means for storing a plurality of body movement amount data in advance, body movement amount storage means for storing the body movement amount detected by the body movement detection means, and stored in the detected and stored body movement amount and body movement type data storage means Body movement amount comparing means for determining the type of body movement by comparing with the body movement amount, step data input means for inputting step data, step data storage means for storing a plurality of step data input by the step data input means, A stride selecting unit is provided which selects the stride data from the plurality of stride data stored in the stride data storage unit according to the type of body movement determined by the body movement amount comparing unit. Fourthly, the body movement amount data input means for storing the detected body movement amount stored in the body movement amount storage means in the body movement type data storage means is provided in the third configuration.

[0010]

1 is a functional block diagram showing an example of a typical configuration of the present invention. The detection operation control input means 100 is
Instruct to start detecting body movement. The body movement detecting means 101 detects the body movement and stores it in the body movement amount storage means 102. The body movement type data storage unit 104 stores the body movement amount for each type of body movement in advance. The body movement amount comparison means 103 compares the detected body movement amount stored in the body movement amount storage means 102 with the body movement amount data for each body movement stored in advance in the body movement type data storage means 104 to determine the type of body movement. . The mask time data storage unit 108 stores mask time data for each body movement type in advance. The mask time determination means 107 determines the mask time for each type of body movement determined by the body movement amount comparison means 103. The walking signal creating means 106 converts the body movement signal detected by the body movement detecting means 101 into a digital signal synchronized with walking. The walking signal output inhibiting means 111 is the timekeeping means 10
5, the reference clock signal output by the reference numeral 5 and the mask time determining means 1
It is prohibited to input the mask time data determined in 07 and output the walking signal of the walking signal creating means 106 to the step count calculating means 109 for a fixed time.

FIG. 3 is another functional block diagram showing an example of a typical configuration of the present invention. Detection operation control input means 3
00 indicates the start of body movement detection. Body movement detecting means 30
1 detects the body movement and stores it in the body movement amount storage means 302. The body movement type data storage unit 304 stores the body movement amount for each type of body movement in advance. The body movement amount comparing means 303,
The detected body movement amount stored in the body movement amount storage means 302 is compared with the body movement amount data for each body movement stored in advance in the body movement type data storage means 304 to determine the type of body movement. The stride data storage unit 307 stores a plurality of stride data input by the stride data input unit 308. Step selection means 3
06 determines the stride for each type of body movement determined by the body movement amount comparing means 303. The walking signal creating means 305 converts the body movement signal detected by the body movement detecting means 301 into a digital signal synchronized with walking. The step count calculation means 309 inputs the walking signal of the walking signal generation means 305 and calculates the step count value. The distance calculating means 310 inputs the step number signal of the step calculating means 309 and the step data for each type of body movement selected by the step selecting means 306, and calculates the distance.

[0012]

Embodiments of the present invention will be described below with reference to the drawings. (1) First Example FIG. 8 is a functional block diagram showing a first example of the step counting device according to the present invention. In the body movement detecting means 101,
The body movement detection circuit 800 detects the body movement, and the preamplification circuit 8
The detection signal is input to 01. The preamplifier circuit 801 amplifies the detected body motion signal and outputs it to the filter circuit 802. The filter circuit 802 cuts off commercial power supply noise and the like in the frequency component of the input detection body motion signal to improve the S / N ratio and outputs the signal to the main amplification circuit 803. The main amplification circuit 803 sufficiently amplifies the detected body motion signal and outputs it to the waveform shaping circuit 809. The fourth reference voltage generation circuit 804 is
A reference voltage is supplied to the preamplifier circuit 801, the filter circuit 802, and the main amplifier circuit 803. The walking signal creating means 106 includes a waveform shaping circuit 809 and a fifth reference voltage generating circuit 810. The waveform shaping circuit 809
By inputting the reference voltage output from the fifth reference voltage generation circuit 810, the detected body movement signal is changed from an analog signal to “H”,
It is converted into an L ″ digital signal and output to the CPU 814.

The body movement amount storing means 102 is a body movement detecting means 1
The detection body motion signal is input and rectified by the rectifier circuit 805, and the voltage holding circuit 806 stores the signal rectified by the rectification circuit 805, and stores the detection body motion signal. The body movement amount comparing means 103 includes a first reference voltage generation circuit 811 corresponding to a plurality (three kinds in the present embodiment) of body movement amounts.
Second reference voltage generation circuit 812, third reference voltage generation circuit 8
13 and those signals respectively, and the voltage holding circuit 80
It is composed of a first comparison circuit 819, a second comparison circuit 820, and a third comparison circuit 821 which input and compare the detected body movement signal stored in 6, and outputs the comparison result to the CPU 814. The output signal of the oscillation circuit 807 is input to the CPU 814 as a reference clock of the CPU 814, divided into a specific frequency by the frequency dividing circuit 808, and input to the CPU 814. The CPU 814 executes the program stored in the ROM 818 in synchronization with the reference clock output from the oscillation circuit 807. The input circuit 816 is connected to the CPU 814 and inputs setting data such as stride data. The input data is displayed on the display device 815 and the RAM 8
Stored in 17.

FIG. 9 shows a concrete circuit embodiment of the body movement detecting means 101 of the functional block diagram shown in FIG. In FIG. 9, a body movement detection circuit 800 uses a cantilever structure acceleration sensor to which a piezoelectric element is attached and outputs a vibration displacement according to body movement as electric charges. The output body movement signal is FET
Thus, the impedance is converted and output to the OP amplifier A1 via the AC coupling capacitor C1. The preamplifier circuit 801 amplifies the detected body motion signal with an amplification factor (1 + R5 / R4). The filter circuit 802 has a low cutoff frequency Fcl = 1 / (2πC2R6) and a high cutoff frequency Fch.
A filter characteristic of = 1 / (2πC3R7) is shown. The detected body motion signal sufficiently amplified by the main amplifier circuit 803 is input to the hysteresis comparator A4 of the waveform shaping circuit 809 and output to the OUTPUT terminal.

FIG. 10 shows a concrete circuit embodiment of the body movement storing means 102 and the body movement comparing means 103 in the functional block diagram shown in FIG. The detected body movement signal detected by the body movement detecting means 101 is input to the + terminal of the voltage regulator A7. The detected body motion signal whose impedance has been converted by the voltage regulator A7 is rectified by the diode D1. The rectified body movement signal is charged in the capacitor C9 via the resistor R18. The charging voltage changes depending on the magnitude of the detected body motion signal. The charged voltage signal is transmitted to the body motion comparison means 1 via the voltage regulator A8.
No. 03 comparators CP1, CP2, and CP3 are input to the respective + input terminals. Comparator CP1, CP
The reference voltages Vref1, Vref2, and Vref3 for each type of exercise are input to the negative terminals of 2 and CP3, respectively. In this embodiment, there are three types of exercise: walking, walking fast, and running.

As shown in FIGS. 6A, 6B, and 6C, the output voltage varies depending on the strength of the motion and the magnitude of the acceleration.
In this embodiment, Vref1 is the body movement amount data for running, and Vref2 is the body movement amount data for fast walking.
Vref3 is used as the amount of body movement during walking. Therefore, there is a relation of Vref1>Vref2> Vref1. The operations of the comparators CP1, CP2, and CP3 are assumed to be the detected body motion signal VM stored in the voltage holding circuit 806. When walking, Vref1>Vref2>VM> V
It becomes ref3 and IN1 = 0, IN2 = 0, and IN3 = 1.

When walking fast Vref1>VM> Vre
f2> Vref3 and IN1 = 0, IN2 = 1, IN
3 = 1. In case of running VM>Vref1>Vref2> Vref
3 and IN1 = 1, IN2 = 1, IN3 = 1.

Next, the operation of the CPU 814 will be described with reference to FIGS.
4, shown in the flow chart of FIG. FIG. 13 is a flowchart showing the operation procedure of the walking signal input processing. In FIG. 8, when the signal generated by the walking signal generating means 106 and synchronized with the walking is input to the input terminal IN4 of the CPU 814, the walking signal input process is started at either the rising edge or the falling edge of the signal. . In the walking signal input processing, the processing is divided depending on whether the input walking signal is a signal input during the mask time counting or is input after the mask time has elapsed.

If the mask time is being counted, the input signal is regarded as an invalid signal such as noise, and the input of the next walking signal is awaited (S130). If the masking time has already passed, the input walking signal is validated and the masking from the inputting point is instructed (S131). Next, it is judged whether or not it is the first input after the start of the detection operation. Since the step count cannot be counted with the first input, the next input is waited (S132). If the input is not the first time after the detection operation, 2 steps are added to the step counter of the RAM 817 (S1).
33). Next, the walking distance is obtained by multiplying the step data H stored in the RAM 817 by the value of the step counter.
It is stored in the distance counter 817 (S134). Since the one cycle of the walking detection operation is completed, the process proceeds to the mask time determination and the step determination processing in preparation for the next input of the walking signal (S135).

FIG. 14 is a flow chart showing the procedure of the mask time and step determination process. In the mask time / step length determination process of FIG. 14, the CPU 81 indicates the result of comparing the detected body movement signals by the body movement comparing means 103 to determine the type of movement.
It is input from the four input terminals IN1, IN2, and IN3 (S140). Next, it is determined whether the IN1 terminal is at the H level, that is, whether the detected body motion is a running motion (S1
41). If the detected body motion signal is the running motion level, data of T1 is assigned to the mask time T (S14).
2). Further, the data H1 is assigned to the stride H (S
143). When the IN1 terminal is not at the H level, that is, when the exercise is smaller than the running level, it is determined whether the IN2 terminal is at the H level, that is, whether the detected body movement signal is the fast walking exercise level (S144).

If the detected body motion signal is the walking level, the data T2 is assigned to the mask time T (S1).
45). Further, the data H2 is assigned to the step length H (S146). When the IN2 terminal is not at the H level, that is, when the exercise is smaller than the fast walking level, it is determined whether the IN3 terminal is at the H level, that is, whether the detected body movement signal is the walking exercise level (S147). If the detected body movement signal is the walking movement level, data of T3 is assigned to the mask time T (S150). Further, the data H3 is assigned to the stride H (S151). IN3 terminal is H
When the level is not the level, that is, when the exercise is lower than the walking level, the detected body movement signal is determined as an invalid signal, and the previous data is assigned to the mask time T (S14).
8). The previous data is also assigned to the stride H (S1
49).

Here, the relationship between the exercise pace and the mask time is 60 / PL <mask time T <(2 × 6) where PL is the slower pace of the exercise and PH is the faster pace.
0 / PL). Walk pace of 80 to 150 (STEP / min), fast pace of 10
0-200 (STPE / min), pace of running 120-
Assuming 240 (STEP / min), the mask time during the walking exercise is about 800 msec, the mask time during the fast walking exercise is about 600 msec, and the mask time during the running exercise is about 500 msec. Invalidate the input of walking signal during this mask time,
It is only necessary to validate the walking signal after the mask time has elapsed and count the number of steps every two steps.

FIG. 15 is a flow chart showing the procedure of the mask time counting process. In FIG. 15, the mask time counting process starts at a certain fixed timing. When the mask instruction is issued, the mask time counting is started (S152). The mask time counter of the RAM 817 is processed by -1 (S153). Where RA
It is determined whether or not the value of the mask time counter of M817 becomes 0, that is, whether a predetermined time has elapsed, and if not 0, the next timing is waited (S154). If the predetermined time has elapsed, the mask instruction is canceled (S15).
5).

(2) Second Embodiment FIG. 11 shows another specific circuit embodiment of the body movement amount storage means 102 of the functional block diagram shown in FIG. In FIG. 11, the reset switches TR1 and TR2 are the CPU 81.
A signal from the output terminal OUT1 of the capacitor C1
Both ends of 0 and C11 are short-circuited to discharge the charge. The detected body movement signal detected by the body movement detecting means 101 is input to operational amplifiers A9 and A11, and is connected to a resistor R19 and a diode D.
The voltage in the + direction than the output voltage of the fourth reference voltage generation circuit 804 is stored in the capacitor C10 via the third reference voltage generation circuit 804, and the fourth reference voltage generation circuit 8 is connected via the resistor R22 and the diode D5.
The voltage in the negative direction from the output voltage of 04 is applied to the capacitor C11.
Store in. The voltage stored in the capacitors C10 and C11 is input to the differential amplifier A9 via the voltage regulators A10 and A12, and the peak to peak of the detected body motion signal is output. The body movement amount comparing means 103 inputs the peak to peak of the detected body movement amount signal and determines the type of body movement.
The subsequent operation of the CPU 814 is as described in the first embodiment.

(3) Third Embodiment FIG. 12 is a functional block diagram showing a third embodiment of the step counting device according to the present invention. The difference from the first embodiment shown in FIG. 8 is that the body movement amount storage means 102 and the body movement amount comparison means 1
In this configuration, an A / D converter 1200 is used instead of 03. The operation of the CPU 814 is shown in the flowcharts of FIGS.

FIG. 17 is a flow chart showing the procedure of the A / D conversion processing in FIG. In FIG.
The detected body movement amount signal is subjected to A / D conversion processing at a certain fixed timing and converted into a digital signal, and the CPU 81
4 is input (S170). It is determined whether or not the number of converted data has reached a certain value. If the number of data is insufficient, the next A / D conversion operation timing is waited for performing the A / D conversion operation until the number of data is uniform ( S17
1). If the number of A / D converted data is uniform, the MAX value of the converted data value is obtained and stored in TRMAX of the RAM 817 (S172).

Next, it is determined whether the current A / D conversion is performed in the normal body movement detection mode or the calibration mode, and if it is the calibration mode, the calibration process is performed (S178). In the normal mode, the MAX value of this A / D conversion data is
It is determined whether the value is larger than the MAX value VADR in the running motion set in the calibration process (S
174). If TRMAX is a value of VADR or more, data T1 is assigned to the mask time T (S179). Further, the data H1 is assigned to the stride H (S180).

If TRMAX is smaller than VADR, it is determined whether the value is larger than the MAX value VADE during the fast walking motion set in the calibration process (S175). If TRMAX is a value equal to or more than VADE, the data T2 is assigned to the mask time T (S17).
6). Further, the data H2 is assigned to the stride H (S17).
7). If TRMAX is smaller than VADE, MA during the walking exercise set in the calibration process
It is determined whether the value is larger than the X value VADW (S18).
3). If TRMAX is a value equal to or larger than VADW, data T3 is assigned to the mask time T (S181). Further, the data H3 is assigned to the step length H (S182).

If TRMAX is smaller than VADW, the mask time is set to the previously set mask time (S18).
4) The step data H is set as the previously set step data (S185). Next, FIG. 16 shows the calibration process. The content of the calibration process in FIG. 12 is to store the body movement signal by the movement under a certain constant condition by inputting the input circuit 816 in advance in order to determine the type of movement of the detected body movement signal.

In FIG. 16, it is determined whether or not the calibration is in the walking mode (S160), and if the type of exercise is walking, the MAX value TRM of the A / D converted data.
AX is assigned to VADW of RAM 817 (S16
1). If the type of exercise is not walking, it is determined whether the calibration is in the fast walking mode (S162).
If it is a calibration in the fast walking mode, A
The MAX value TRMAX of the D / D converted data is stored in the RAM 81.
7 is assigned to VADE (S163). If the calibration is not in the fast walking mode, the MAX value TRMAX of the A / D converted data is set to VADR in the RAM 817.
(S164). In this way, the amount of body movement during exercise under a certain condition of the user is stored in advance, and by using it for subsequent detection of the body movement signal, it is possible to make a more accurate determination of the type of body movement and to obtain an accurate mask time. You can select your choice and your stride.

[0031]

As described above, according to the present invention, the detected body movement signal is stored and compared with the previously stored body movement amount data for each type of body movement to determine the type of body movement. Since it is possible to automatically select an appropriate mask time and a stride suitable for the type, there is an effect that the user can perform highly accurate step count measurement and distance measurement without temporarily stopping the body movement.

[Brief description of drawings]

FIG. 1 is a functional block diagram showing an example of a typical configuration of a step counting device of the present invention.

FIG. 2 is another functional block diagram showing an example of a typical configuration of the step counting device of the present invention.

FIG. 3 is another functional block diagram showing an example of a typical configuration of the step counting device of the present invention.

FIG. 4 is another functional block diagram showing an example of a typical configuration of the step counting device of the present invention.

FIG. 5 is a functional block diagram of a conventional step counting device.

FIG. 6 is a diagram showing an output of an acceleration sensor for each body motion.

FIG. 7 is a diagram showing an output waveform of a walking signal creating means of the step counting device of the present invention.

FIG. 8 is a functional block diagram showing a first embodiment of the step counting device of the present invention.

FIG. 9 is a circuit diagram showing a first embodiment of the step counting device of the present invention.

FIG. 10 is another circuit diagram showing the first embodiment of the step counting device of the present invention.

FIG. 11 is a circuit diagram showing a second embodiment of the step counting device of the present invention.

FIG. 12 is a functional block diagram showing a third embodiment of the step counting device of the present invention.

FIG. 13 is a CPU of the first embodiment of the step counting device of the present invention.
3 is a flowchart showing the operation of FIG.

FIG. 14 is a CPU of the first embodiment of the step counting device of the present invention.
5 is another flowchart showing the operation of FIG.

FIG. 15 is a CPU of the first embodiment of the step counting device of the present invention.
5 is another flowchart showing the operation of FIG.

FIG. 16 is a CPU of a third embodiment of the step counting device of the present invention.
3 is a flowchart showing the operation of FIG.

FIG. 17 is a CPU of a third embodiment of the step counting device of the present invention.
5 is another flowchart showing the operation of FIG.

[Explanation of symbols]

 100 detection operation control input means 101 body movement detection means 102 body movement amount storage means 103 body movement amount comparison means 104 body movement type data storage means 105 timing means 106 walking signal generation means 107 mask time determination means 108 mask time data storage means 109 step count calculation Means 110 Display means 212 Body movement amount data input means 300 Detection operation control input means 301 Body movement detection means 302 Body movement amount storage means 303 Body movement amount comparison means 304 Body movement type data storage means 305 Walking signal generation means 306 Stride selection means 307 Stride data Storage means 308 Stride data input means 309 Step count calculation means 310 Distance calculation means 311 Display means 412 Body movement amount data input means

Claims (6)

[Claims] 1. A body movement detecting means (1) for detecting movement of a body.
01), a detection operation control input means (100) for controlling the start and stop of body movement detection by the body movement detection means (101), and a clocking means (105) for clocking time and creating a reference clock signal. And a walking signal creating means (106) for outputting a signal synchronized with walking and running from the body motion signal detected by the body motion detecting means (101), and a walking signal output by the walking signal creating means (106) Then, a walking signal output prohibiting means (111) for prohibiting the output of the walking signal for a certain period of time, a step number calculating means (109) for inputting the signal output from the walking signal output prohibiting means (111) and calculating the number of steps, A display means (110) for displaying a numerical value, a body movement type data storage means (104) for storing a plurality of body movement amount data, and a mass for storing a plurality of prohibition times of the walking signal output prohibition means (111). Time and data storage means (108), enter the detection body motion signal outputted by the body movement detecting means (101), the body movement amount storage means for storing the magnitude of body motion (102)
And a body movement amount data signal output from the body movement type data storage means (104), and at the same time, the body movement amount storage means (102)
Of the body movement amount comparing means (103) for judging the type of body movement and the plurality of mask time data outputted by the mask time data storing means (108), and Momentum comparison means (1
03) output the body movement type determination signal, selects the mask time according to the type of body movement, and outputs the mask time data signal to the walking signal output prohibiting means (111); A step counting device having: 2. The step count measuring device according to claim 1, wherein the body movement type data storage means (104) for storing a plurality of body movement amount data inputs the detected body movement amount signal output from the body movement amount storage means (102). In addition, the step count measuring device which receives the data storage instruction signal output from the body movement amount data input means (212) and stores the detected body movement amount. 3. A body movement detecting means (3) for detecting the movement of the body.
01), detection operation control input means (300) for controlling start and stop of body movement detection by the body movement detection means (301), and walking and movement based on a body movement signal detected by the body movement detection means (301). , A walking signal generating means (305) for outputting a signal synchronized with running, a step number calculating means (309) for calculating the number of steps by inputting the walking signal output by the walking signal generating means (305), and a plurality of stride data Stride data storage means for storing (30
7) and stride data input means (30) for inputting stride data.
8), a stride data signal output from the stride data storage means (307), and a step count value output from the step count calculation means (309), a distance calculation means (310) for calculating a distance, a step count value, a distance, Display means for displaying stride data (31
1), a body movement type data storage means (304) for storing a plurality of body movement amount data, and a body for storing the magnitude of body movement by inputting a detected body movement signal output by the body movement detecting means (301). Momentum storage means (302)
And the body movement amount data signal output from the body movement type data storage means (304), and the body movement amount storage means (302)
The body movement amount comparing means (303) for judging the type of body movement by inputting the detected body movement amount signal outputted by the above, and the plurality of stride data outputted by the stride data storing means (307) are inputted, and the body movement amount comparison is performed. And a step selecting means (306) for inputting the body movement type determination signal output from the means (303), selecting the step length data according to the type of body movement, and outputting the step data signal to the distance calculating means (310). A step count measuring device characterized by the above. 4. The step count measuring device according to claim 3, wherein the body movement type data storage means (304) for storing the plurality of body movement amount data inputs the detected body movement amount signal output from the body movement amount storage means (302). In addition, the step count measuring apparatus which receives the data storage instruction signal output from the body movement amount data input means (412) and stores the detected body movement amount. 5. A body movement detecting means (1) for detecting the movement of the body.
01, 102) and a body movement signal output by the body movement detecting means (101, 102) to calculate the number of steps.
9), body movement type data storage means (104) for storing body movement amount data corresponding to a plurality of body movements, and body movement detection signals and body movement types output by the body movement detecting means (101, 102) Based on the body movement amount comparison means (103) for inputting the body movement amount signal output from the data storage means (104) to determine the type of body movement, and the comparison result signal output from the body movement amount comparison means (103). , Walking signal output prohibiting means (107, 108, 11) for controlling the step number calculating operation of the step number calculating means (109)
1. A step count measuring device comprising: 1) and a display means (110) for inputting a step count signal output from a step count calculating means (106, 109) and displaying a step count value. 6. A body movement detecting means (3) for detecting the movement of the body.
01, 302), body movement type data storage means (304) for storing body movement amount data corresponding to a plurality of body movements, and body movement detection signals and body output by the body movement detection means (301, 302). Based on the body movement amount comparison means (303) for inputting the body movement amount signal output from the movement type data storage means (304) to determine the type of body movement, and the comparison result signal output from the body movement amount comparison means (303) Then, the distance calculation means (305, 306, 30) for calculating the distance traveled by the body by inputting the output signal of the body movement detection means using a plurality of stride data stored in advance.
7, 308, 309, 310) and distance calculation means (305, 306, 307, 308, 30)
9, 310), and a display unit (311) for displaying the distance by inputting the distance signal output from the distance measuring apparatus.