CN1768702A - Body motion detection device - Google Patents

Body motion detection device Download PDF

Info

Publication number
CN1768702A
CN1768702A CN 200510117227 CN200510117227A CN1768702A CN 1768702 A CN1768702 A CN 1768702A CN 200510117227 CN200510117227 CN 200510117227 CN 200510117227 A CN200510117227 A CN 200510117227A CN 1768702 A CN1768702 A CN 1768702A
Authority
CN
China
Prior art keywords
output
body action
detection device
motion detection
body motion
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN 200510117227
Other languages
Chinese (zh)
Other versions
CN100425200C (en
Inventor
酒井畅也
西林贤二
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tanita Corp
Original Assignee
Tanita Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tanita Corp filed Critical Tanita Corp
Publication of CN1768702A publication Critical patent/CN1768702A/en
Application granted granted Critical
Publication of CN100425200C publication Critical patent/CN100425200C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention provides a body motion measuring device for detecting body motion output without a lowering of output caused by the inclination of the device. This body motion measuring device is provided with a body motion sensor disposed to detect body motion in different directions and detecting body motion signals including gravitational acceleration components in the respective detecting directions at the same time; a body motion output computing means for computing the difference of the respective body motion signals from a predetermined offset voltage value as each body motion output; a combined output computing means for combining the each body motion output to compute combined output; and a body motion counting means for counting predetermined body motion based on the combined output. Body motion can thereby be detected without a lowering of output caused by angles.

Description

Body motion detection device
Technical field
The present invention relates to possess the body motion detection device of body action is arranged (movement of body) pick off, this body action pick off detects the body action of different directions under the influence of considering acceleration of gravity.
Background technology
As in the past body motion detection device such pedometer is arranged, this pedometer comprises: a plurality of body action pick offs that can detect the size of different directions body action; Detect the angle detecting sensor of the sensing detection angle of described each body action pick off, this pedometer selects to form the body action pick off that is applicable to the sensing detection angle that detects step number, output according to described selected body action pick off detects step number (for example, with reference to Japanese kokai publication hei 09-223214) then.
In addition, also has pedometer as follows, that is: it is the body motion detection device by body action pick off in the body action of the different directions of selecting to be gone out by described body action sensor, that output is bigger, come step number is counted (for example, with reference to Japan's special permission 3543778) according to described selected output.
Yet, the pedometer of describing in described Japanese kokai publication hei 09-223214 and the Japan's special permission 3543778, be one of to select in a plurality of body action pick offs pick off according to the size of sensing detection angle or output, and detect step number with the output of the described body action pick off of selecting, owing to be subjected to the influence at Unit Installation direction and angle of inclination, it can only detect the branch force direction of body action, thereby output is reduced.When utilizing this output that step number is counted, there is following problem: the output of the described body action pick off of the selecting step number as reality should be detected, but can not be met the output valve of the counting of step number, therefore can't count.
In addition, in described Japanese kokai publication hei 09-223214, owing to outside described body action pick off, also must be provided with described angle detecting sensor in advance, this is closely related with cost up again.
Summary of the invention
Therefore, the present invention provides a kind of body motion detector that output detects to body action for solving described problem points, and its body action output when tilting of this device can not reduce.
In order to solve described problem, the invention provides a kind of body motion detection device, it is characterized in that, comprise: the body action pick off, this body action pick off is configured to and can the body action of different directions be detected, also simultaneously to comprise each detection side to the body action signal of acceleration of gravity composition detect; Body action output arithmetic unit, it will be from the difference of described each body action signal of predefined bias voltage value as each body action output carrying out computing; Synthetic output arithmetic unit is used for synthesizing described each body action output, and computing is carried out in synthetic output; The body action counting assembly, it counts the body action of regulation according to described synthetic output.
Has decision maker in addition, this device is judged the value of each body action output that described body action output arithmetic unit calculates, judge whether it is fit to carry out the computing of described synthetic output, when the value that determines described each body action output by described decision maker was not suitable for synthesizing, just the value with described body action output was considered as zero.
Has decision maker in addition, this device is judged the value of each body action output that described body action output arithmetic unit calculates, judge whether it is suitable for the computing of described synthetic output, when the value that determines described each body action output by described decision maker is not suitable for synthesizing, then described synthetic output arithmetic unit will comprise that the value of the synthetic output of described body action output is considered as zero, the synthetic output of union.
In addition, described decision maker is judged to be the value that described body action exports and is not suitable for synthesizing at the symbol of the symbol of the meansigma methods of the interval described body action output of regulation or mid point and the value of described body action output not simultaneously.
In addition, described body action pick off is configured to and can the body action of mutually perpendicular 2 directions or 3 directions be detected.
In addition, described synthetic output arithmetic unit extracts square root by the resulting summation of square value addition with each body action output valve and obtains synthetic output.
And, described body action counting assembly also has the dynamic acceleration arithmetic unit, and the difference between the value of the arbitrary output in the synthetic output of the mid point that this device is interval with the synthetic output of the meansigma methods in the regulation interval of the output of acceleration of gravity, described each body action output or regulation and the value of described synthetic output is carried out computing as the size (dynamic acceleration) of body action.
Body motion detector of the present invention comprises: the body action pick off, this body action pick off is configured to the body action of different directions is detected, also simultaneously to comprise each detection side to the body action signal of acceleration of gravity composition detect; Body action output arithmetic unit will be from the difference of described each body action signal of predefined bias voltage value as each body action output carrying out computing; Synthetic output arithmetic unit is used for synthesizing described each body action output, and computing is carried out in synthetic output; The body action counting assembly comes the body action of regulation is counted according to described synthetic output, thereby this device can carry out can not importing owing to angle the body action detection of reduction.
Has decision maker in addition, this decision maker is judged the value of each body action output that described body action output arithmetic unit calculates, judge whether it is suitable for carrying out the computing of described synthetic output, when the value that determines described each body action output by described decision maker was not suitable for synthesizing, just the value with described body action output was considered as zero.Or also has such decision maker, this decision maker is judged the value of each body action output that described body action output arithmetic unit calculates, judge whether it is suitable for carrying out the computing of described synthetic output, when the value that is judged to be described each body action output by described decision maker is not suitable for synthesizing, the value that described synthetic output arithmetic unit will comprise the synthetic output of described body action output is considered as zero, the synthetic output of union, because the symbol of the value of exporting at the symbol of the meansigma methods of the interval described body action output of regulation or mid point and described body action is not simultaneously, the value that described decision maker can be judged to be described body action output is unsuitable for synthesizing, even so under the bigger situation of dynamic acceleration, also can obtain to be enough to carry out the data in high-precision meter step.
Described body action pick off is configured to and can the body action of mutually perpendicular 2 directions or 3 directions be detected, and described synthetic output arithmetic unit is by exporting the resulting summation extraction of square root of the square value addition of each body action output valve is obtained synthesizing, so, because the synthetic angle that does not need each body action pick off, thereby can easily obtain synthetic output.
And described body action counting assembly also has the dynamic acceleration arithmetic unit, the value and the difference between the described synthetic output valve of the arbitrary output in the synthetic output of the mid point that this device is interval with the synthetic output of the meansigma methods in the regulation interval of the output of acceleration of gravity, described each body action output or regulation are carried out computing as the size (dynamic acceleration) of body action, therefore, also can be applied to measure the device of Biont information according to dynamic acceleration.
Description of drawings
Fig. 1 is the front view of the body motion detection device of embodiment 1.
Fig. 2 is the block diagram of the body motion detection device of embodiment 1.
The time dependent track waveform of the body action signal along X-direction when Fig. 3 represents walking.
The time dependent track waveform of the body action signal along Y direction when Fig. 4 represents walking.
The time dependent track waveform of the body action signal along X-axis and Y direction when Fig. 5 represents to run.
Fig. 6 represents to export time dependent track waveform along the body action of X-axis and Y direction.
Fig. 7 represents to export the time dependent track waveform of synthetic output that obtains according to each body action.
Fig. 8 represents to judge whether it is fit to carry out synthetic body action and exports time dependent track waveform.
Fig. 9 represents according to judging whether it is fit to carry out the time dependent track waveform of synthetic output of synthetic each body action output.
Figure 10 represents the flow chart of the mastery routine of embodiment 1.
Figure 11 represents the subprogram of the body action output determination processing of embodiment 1.
Figure 12 represents to count the subprogram of step processing.
Figure 13 represents the flow chart of the mastery routine of embodiment 2.
Figure 14 represents the subprogram of the body action output determination processing of embodiment 1.
The specific embodiment
Body motion detection device of the present invention comprises: the body action pick off, it is configured to the body action of different directions is detected, simultaneously to comprise each detection side to the body action signal of acceleration of gravity composition detect; Body action output arithmetic unit, it will be from the difference of described each body action signal of predefined bias voltage value as each body action output carrying out computing; Synthetic output arithmetic unit, it is used for synthesizing described each body action output, and computing is carried out in synthetic output; The body action counting assembly, it comes the body action of regulation is counted according to described synthetic output.
In addition, also has decision maker, this device is judged the value of each body action output that described body action output arithmetic unit calculates, judge whether it is suitable for carrying out the computing of described synthetic output, when the value that is judged to be described each body action output by described decision maker was not suitable for synthesizing, just the value with described body action output was considered as zero.
In addition, also has decision maker, this device is judged the value of each body action output that described body action output arithmetic unit calculates, judge whether it is suitable for carrying out the computing of described synthetic output, when the value that is judged to be described each body action output by described decision maker is not suitable for synthesizing, the value that then described synthetic output arithmetic unit will comprise the synthetic output of described body action output is considered as zero, the synthetic output of union.
In addition, described decision maker can be judged to be the value that described body action exports and be not suitable for synthesizing at the symbol of the symbol of the meansigma methods of the interval described body action output of regulation or mid point and the value of described body action output not simultaneously.
In addition, described body action pick off is configured to and can the body action of mutually perpendicular 2 directions or 3 directions be detected.
In addition, described synthetic output arithmetic unit extracts square root by the resulting summation of square value addition with each body action output valve and obtains synthetic output.
And, described body action counting assembly also has the dynamic acceleration arithmetic unit, and the arbitrary value and the difference between the described synthetic output valve of the synthetic output of the mid point that this device is interval with the synthetic output of the meansigma methods in the regulation interval of the output of acceleration of gravity, described each body action output or regulation are carried out computing as the size (dynamic acceleration) of body action.
(embodiment 1)
Embodiments of the invention 1 have exemplified a kind of body motion detection device, and 2 body action pick offs that the mode that this device detects in order to the body action to orthogonal 2 directions disposes calculate walking, use accompanying drawing that embodiment 1 is described below.
The structure of the body motion detection device of embodiment 1 at first, is described according to Fig. 1 and Fig. 2.Fig. 1 is an outward appearance front view of representing to carry with certain angle of inclination the body motion detection device state, and this body motion detection device is built-in with described 2 body action pick offs, and Fig. 2 is a circuit block diagram.
In embodiment 1, body motion detection device 1 is provided with input equipment 2 and display device 3 in its front, and portion is provided with described 2 body action pick offs 4 within it, also has amplifier 5,6, A/D converter 7,8, storage device 9 and CPU10.
Described input equipment 2 is in order to import various settings, to measure and to begin and termination etc. and being provided with, and described display device is used for showing various guiding or measurement result etc.In addition, as shown in Figure 1, described body action pick off 4 is by constituting at X-axis body action pick off 4a that has sensitivity on the X-direction and the Y-axis body action pick off 4b that has sensitivity on Y direction, and it takes to comprise the body action signal of the acceleration of gravity composition relevant with each direction of principal axis with certain sampling period.At this, in the present embodiment, the testee with respect to vertical direction and horizontal direction, is installed in described body motion detection device 1 on belt etc. according to angle of inclination shown in Figure 1, is mounted to formed plane of X-axis and Y-axis and vertical direction and installs abreast.
Described storage device 9 comprises: be used for storing the X-axis buffer 9a of the signal of described X-axis body action pick off 4a, be used for storing the Y-axis buffer 9b of the signal of described Y-axis body action pick off 4b equally.
In addition, described X-axis body action pick off 4a is connected with CPU10 by amplifier 5 and A/D converter 7, equally, described body action pick off 4b is connected with CPU10 by amplifier 6 and A/D converter 8, is that digital signal is transported to CPU10 with described body action pick off 4a and the detected analog signal conversion of 4b.Described CPU10 has body action output arithmetic unit, synthetic output arithmetic unit, body action counting assembly and decision maker.
With reference to Fig. 3 to Fig. 9, body action signal and described each arithmetic unit that is detected by described each body action pick off 4a and 4b described simultaneously.Fig. 3 and Fig. 4 represent by X-axis and Y-axis body action pick off 4a and 4b detected respectively, the time dependent waveform of each body action signal during walking, Fig. 5 is that expression is detected by described X-axis and Y-axis body action pick off 4a and 4b, body action is the time dependent waveform of each body action signal under the big situation when running etc., to be expression deduct behind the predefined bias voltage value and each body action that obtains is exported time dependent waveform from described each the body action signal shown in Fig. 5 Fig. 6, and Fig. 7 is the time dependent waveform of synthetic output that expression obtains by synthetic described each body action output valve.
At first when detecting described body action signal, when the such body action with constant rhythm of walking being done detection, as shown in Figures 3 and 4, described X-axis body action pick off 4a and Y-axis body action pick off 4b detected each body action signal AxO and AyO, along with the time change and form the such signal waveform of diagram.
Described each body action signal is to preestablish under the state of bias voltage in described X-axis body action pick off 4a and Y-axis body action pick off 4b, body action vibration (dynamic acceleration) under the influence of the acceleration of gravity that acts on X-direction and the Y direction detects to being subjected to, promptly, to be output as datum line along the acceleration of gravity that is subjected on each direction of principal axis, thereby form the described dynamic acceleration such waveform of amplitude along the vertical direction, for example, in Fig. 3 and Fig. 4, as the interval between upper limit peak value and the lower limit peak value (hereinafter referred to as the P-P interval) expression be the regulation interval, the meansigma methods in this regulation interval is represented to be subjected to acceleration of gravity component X G and YG along described each direction of principal axis.Promptly, even under the situation that does not produce described dynamic acceleration, and when on described X-axis body action pick off 4a does not detect the horizontal direction of acceleration of gravity composition, having sensitivity, also exportable described bias voltage value AO, when as the detection side to X-axis when tilting than horizontal direction, X-axis body action pick off 4a also can detect the acceleration of gravity XG that is acted on described incline direction.For Y-axis pick off 4b, situation is also identical.
So, remain static down at body motion detection device 1, the sensitive direction of described X-axis body action pick off 4a is in horizontal direction and does not detect under the situation of acceleration of gravity composition, output valve with this moment, be that described bias voltage value is taken as AO, the bias voltage value of same Y-axis body action pick off 4b also is AO, and Fig. 5 is when being illustrated in the people and running, each body action signal AxO of X-axis and Y direction and the time dependent figure of AyO.
Described body action output arithmetic unit, after deducting described bias voltage value AO with body action pick off 4a and Y-axis with detected each body action signal AxO of body action pick off 4b and AyO from described X-axis, and with this result's output, Fig. 6 be expression with described output as X-axis and Y-axis each body action output Ax1 and during Ay1, this exports time dependent figure.At this moment, described Ax1 and Ay1 are illustrated in the composition of the acceleration of gravity that is subjected on each direction of principal axis, also represent detected dynamic acceleration simultaneously.
Described synthetic output arithmetic unit, be used for the synthetic output A1 of the body action output Ay1 of the body action of X-axis output Ax1 and Y-axis is carried out computing, synthetic output A1 is used for calculating the resultant vector of orthogonal 2 axles, and calculates with arithmetic expression A1=(Ax12+Ay12) 1/2.That is: can obtain in the size that is subjected to the synthetic dynamic acceleration under the environment that acceleration of gravity is 1G, thereby obtain the synthetic output waveform shown in Fig. 7.
Described body action counting assembly adopts described synthetic output A1 to come step number is counted, for example, as shown in Figure 7, described synthetic output A1 reaches the threshold value of predefined regulation or more than it, reduce to described threshold value then again again when following, then once count.
In addition, below simultaneously with reference to Fig. 8 and Fig. 9, described decision maker is described.Fig. 8 is that each body action that expression is exported according to the judgement that described decision maker carried out is exported time dependent waveform, and Fig. 9 is the expression time dependent waveform of synthetic output that output is synthesized into to the body action after the described judgement.
From the arithmetic expression of described A1 as can be known, the synthetic output A1 shown in described Fig. 7 is positive output.That is: shown in the circle D portion among Fig. 7, in the waveform of synthetic output A1, be formed with following waveform, that is: the output of extreme value that should be protruding downwards is from being output as 0 (V), turns back and becomes positive output with symmetric mode.Why produce this situation, its reason is: illustrate with Fig. 5, as mentioned above, in X-axis body action pick off 4a and Y-axis body action pick off 4b, because dynamic acceleration is the datum line up-down vibration with the acceleration of gravity composition, so sometimes body action signal AxO and AyO the waveform that forms respectively, can be along with the change of dynamic acceleration big and intersect with bias voltage value AO, so this cross section just becomes the output of turning back shown in the circle D portion among described Fig. 7.
As shown in Figure 7, in the waveform of the synthetic output A1 with the output of turning back, along with the change of dynamic acceleration is big, the described output valve of turning back also can become greatly, so, in described body action counting assembly, judge the difficulty that will become with threshold value sometimes.
Therefore, in described synthetic output computing, in order not export the described output of turning back, so allow the symbol of described each body action output Ax1 and Ay1 and the meansigma methods XG in the described P-P interval that described each body action is exported Ax1 and Ay1 and plus sign or the minus symbol of YG compare, when both symbol not simultaneously, judge that then this output is unsuitable for synthesizing, and this body action output valve is converted into zero, and when both symbol is identical, just directly be judged to be Ax1 and Ay1, and the output of the body action of described judgement exported as Ax1=Ax2 and Ay1=Ay2, so shown in the curve chart of Fig. 8, can obtain the waveform that forms by body action output Ax2 and Ay2.
In addition, by described synthetic output arithmetic unit, the body action output Ax2 of described judgement and the synthetic output A2 of Ay2 are carried out computing, thereby can obtain the synthetic output waveform shown in Fig. 9.
Below, use Figure 10 to Figure 12 that the action of the body motion detection device 1 of present embodiment is described.Figure 10 is the flow chart of the mastery routine of the action of body motion detection device in the expression present embodiment, and Figure 11 represents to carry out the subprogram of body action output determination processing, and Figure 12 represents to count the subprogram of step processing.
At first, in the mastery routine of Figure 10, when measuring beginning by input equipment 2 inputs, the power supply of body motion detection device 1 is switched on, so carry out the initial setting of device in step S1.In step S2, in X-axis body action pick off 4a and Y-axis body action pick off 4b, detect the body action signal AxO and the AyO of each the direction of principal axis composition that comprises acceleration of gravity respectively, this body action signal AxO and AyO are respectively through amplifier 5 and 6, and A/D converter 7 and 8, taked among the CPU10 as numerical data, so form the waveform shown in Fig. 5.
In step S3, calculate the body action signal AxO of described sampling and the difference between AyO and the described bias voltage value AO, so obtain described body action output Ax1 and Ay1 respectively, and be stored in respectively among X-axis usefulness buffer 9a and the Y-axis usefulness buffer 9b, form waveform as shown in Figure 6.
In step S4, judge whether it is the sampling that in the interval of regulation, obtains described body action pick off 4a and body action pick off 4b.Described regulation interval is meant, the interval in (P-P interval) between described each the body action pick off 4a in embodiment 1 and time dependent upper limit peak value of 4b and the lower limit peak value, and at the interval obtained number of samples of described P-P be: n=1 is to nmax.That is: when being stored in X-axis respectively when not reaching nmax with the number of Ax1 among the buffer 9b and Ay1 with buffer 9a and Y-axis, then carry out NO, and when continuing sampling among the step S2 and obtain nmax sampling, then carry out YES, in following step S5, calculate described nmax body action output Ax1 and each meansigma methods of Ay1, they are stored in the described memorizer 9.As described, the meansigma methods in described each P-P interval is represented the component (XG and YG) of the acceleration of gravity that is subjected on each.
In step S6, since read respectively successively described X-axis with buffer 9a and Y-axis with buffer 9b in the n=1 sampled data of storing in the described buffer address of nmax, institute is so that the buffer address turns back to n=0, in following step S7, the buffer address counted successively as n=n+1 finish, and read in the sampled data in the P-P interval of the body action output waveform that forms X-axis and Y-axis one by one.
The body action output determination processing of step S8 is performed such, though that is: will use Figure 11 to describe in the back, by the decision maker in the CPU10, the symbol of the meansigma methods in the P-P interval of described each body action output and the symbol of n body action output valve are compared, when symbol not simultaneously, just described n body action output valve converted to zero, so as shown in Figure 8, the body action output Ax2 and the Ay2 that obtain judging.Thus, as mentioned above, can when exporting, synthetic body action not form the output of turning back.
In step S9, synthesize described n body action output Ax2 and Ay2 by the synthetic output arithmetic unit in the described CPU, thereby obtain the synthetic output A2 shown in Fig. 9.Described synthetic output A2 utilizes formula A2=(Ax2 2+ Ay2 2) 1/2Come computing.In following step S10, according to described synthetic output A2, by using the body action counting assembly in the described CPU10 that Figure 12 illustrates in the back, the meter step of application of known handles and detects step number.
In following step S11, with respect to whole sampled data in P-P interval, judge and whether carried out described step S7 promptly judge whether reached n=nmax to step S10.When not reaching, carry out NO, and, carry out described handling procedure repeatedly, when reaching n=nmax, carry out YES, and then turn back to step S1 with respect to following sampled data according to n=n+1, transfer to next P-P interval processing.
Herein, utilize Figure 11 that the body action output determination processing of described step S8 is specifically described.In step S21, read n body action output Ax1 that is stored in the described storage device 9 and Ay1, with each the meansigma methods in P-P interval.Among the step S22 below, the symbol of described each meansigma methods and the symbol of each body action output Ax1 and Ay1 are compared, under the identical situation of symbol, owing to when compose operation, can not export the output of turning back, therefore carry out YES, in step S24, with described body action output Ax1 and Ay1 as judging whether suitable body action is exported Ax2 and Ay2, X-axis is upgraded with the storage of buffer 9b with buffer 9a and Y-axis, turned back to then in the mastery routine of Figure 10.In addition, under the different situation of symbol, carry out NO, in order not export the output of turning back when the synthetic output computing, and the value itself of each body action output Ax1 and Ay1 is replaced as zero, be stored in X-axis more respectively and use among the buffer 9b with buffer 9a and Y-axis.Be described body action output Ax2 and all vanishing of Ay2, turn back to the mastery routine of Figure 10.
In addition, utilizing Figure 12 that the meter step of described step S10 is handled is specifically described.This meter step handles and preestablishes threshold value, and this threshold value can judge the described synthetic output A2 that enough is used for detecting step number, when greater than described threshold value, from detecting the state of the described synthetic A2 of output, when being lower than described threshold value, the counting to step number is finished.
That is, after calculating described synthetic output A2, the meter step that moves to Figure 12 handles, and will judge in step S31, judges whether to be provided with the described synthetic output A2 of expression greater than being used to differentiate the labelling 1 that is enough to the threshold value that detects as step number.Under the situation that labelling 1 is not set, then be judged to be the synthetic output A that does not detect greater than described threshold value, then carry out NO, and in step S32, whether the described synthetic output A2 that calculates is judged greater than described threshold value.If not greater than described threshold value, then carry out NO, and directly turn back in the mastery routine of Figure 10, if greater than described threshold value, then carry out YES, in step S33, after being provided with described labelling 1, turn back to the mastery routine of Figure 10 again.
In addition, in described step S31, under the situation that labelling 1 is being installed, promptly judge the state that has detected greater than the synthetic output A2 of described threshold value that is in, so carry out YES, in described step S34, judge whether described synthetic output A2 is less than described threshold value.When greater than described threshold value, then carry out NO, in step S35, as mentioned above step number is added, and the result is stored in the memorizer 9.
(embodiment 2)
In the body motion detection device 1 of described embodiment 1, decision maker is according to whether body action output Ax1 and Ay1 are fit to carry out synthetic judgement, calculate as body action output Ax2 and Ay2 respectively, in synthetic output arithmetic unit, come the synthetic output of computing A2 then according to described body action output Ax2 and Ay2.Relative therewith, the body motion detection device of embodiment 2 among the present invention calculates synthetic output A1 according to described body action output Ax1 and Ay1, and whether body action output Ax1 and Ay1 are suitable for synthetic judgement based on described decision maker, calculate the synthetic A2 of output according to described synthetic output A1.
Below, according to Figure 13 and Figure 14, with and embodiment 1 between difference the handling procedure of the body motion detection device of embodiment 2 is described.Figure 13 is the flow chart of the mastery routine done of the active of expression embodiment 2, and Figure 14 represents the subprogram of body action output determination processing.
At this, the body motion detection device of embodiment 2 is consistent with the structure of outline drawing shown in Fig. 1 and Fig. 2 and block diagram in embodiment 1.
In Figure 13, similarly to Example 1, when connecting the power supply of determinator 1, identical to the action between the step S3 to the action of carrying out between the step S103 with the step S1 of the mastery routine of Figure 10 of embodiment 1 at step S101.In step S104, calculate synthetic output A1 according to body action output Ax1 that calculates among the described step S103 and Ay1.In following step S105, same with the step S4 of the mastery routine of embodiment 1, judge whether be the sampling of in the P-P interval, carrying out body action signal AxO and AyO once more.
Step S106 is identical to the situation of S7 with the step S5 of the mastery routine of embodiment 1 to step S108, also carry out same action, in the body action output determination processing of step S109, transfer to the subprogram of Figure 14 described later, as mentioned above, according to described decision maker whether body action output Ax1 is suitable for synthetic judgement with Ay1, in embodiment 1, to calculating to the synthetic output A2 shown in Fig. 9 from the described synthetic output A1 shown in Fig. 7.
Step S110 afterwards is identical to the situation of S12 with the step S10 of the mastery routine of embodiment 1 to step S112, also carries out same action, handles even reach the meter step of step S110, and is also identical with embodiment 1, handles by the subprogram of Figure 12.
In the body action of the described Figure 14 output determination processing, to export the situation of the step S21 of subprogram of Figure 11 of determination processing and step S22 identical for represented body action among step S121 and step S122 and the embodiment 1, also carries out same action.
In described step S122, the symbol of described each meansigma methods and the symbol of each body action output Ax1 and Ay1 are compared, under the identical situation of both symbols, when synthesizing the output computing,, then carry out YES in order the described unwanted output of turning back not occur, in step S124, the value of the n that calculates among the described step S104 synthetic output A1 is exported A2 as synthetic, and the storage of updated stored device 9, turn back to the mastery routine of Figure 10 then.In addition, when both symbol not simultaneously, then carry out NO, in step S23,, described synthetic output A1 is replaced as zero in order not occur the described unwanted output of turning back during computing synthesizing output, and be stored in the storage device 9.That is: make described synthetic output A2 vanishing, turn back to the mastery routine of Figure 10 then.
In addition, in embodiment 1 and embodiment 2, use X-axis body action pick off 4a and Y-axis body action pick off 4b, detect the body action signal on orthogonal 2 directions, but, also can increase again respectively with described X-axis with the vertical Z axle body of Y-axis body action pick off, use the checkout gear that detects orthogonal 3 direction body action signals.Though this situation is not done diagram,, based on the circuit block diagram of the described embodiment shown in Fig. 2, apparatus structure comprises Z axle body body action pick off 4c, amplifier and A/D converter, also is provided with Z axle buffer 9c in this external storage device 9.In addition, also can be based on the program of the described embodiment shown in Figure 10 to Figure 12, in each program about described X-axis and Y direction, carry out the detection relevant, computing and buffered etc. equally with X-axis and Y-axis, thereby can carry out the processing same with embodiment 1 and embodiment 2 with Z-direction.Thus, even formed of X-axis and Y-axis tilt with respect to vertical direction, also can detect body action accurately.
In addition, in the decision maker of CPU10, carried out making that unwanted the turning back of step number counting is output as zero processing among the represented synthetic output A1 of in Fig. 7 circle D portion, but in fact, in an embodiment, counting in the general step count set of step number according to the threshold value that the output that can detect step number is judged, when described size of turning back output can have influence on the judgement of being undertaken by described threshold value, the walking of output this moment and running etc. all is difficult to judge, can make its correspondence by setting threshold suitably, as for walking, be that amplitude is in the reciprocating motion of counting cm up and down, compare with acceleration of gravity, its dynamic acceleration changes extremely little, and the described output of turning back itself is output hardly.At this moment, also can not need described decision maker.
In addition, in the step S122 of the step S22 of Figure 11 and Figure 14, the decision maker of CPU10 is exported each P-P interval of Ax1 and Ay1 as the regulation interval with body action, and judge the compose operation that whether is suitable for of described body action output Ax1 and Ay1 according to the meansigma methods in described P-P interval, but described regulation interval also is not limited to the P-P interval, also can be the interval of datum line symbol that can judge the track waveform of each body action output.Though obtained the meansigma methods in P-P interval, also can carry out the judgement whether described computing is fit to according to the midrange of upper limit peak value in the described regulation interval and lower limit peak value.
In addition, described counting assembly is to count step number according to described synthetic output A1 or A2, but, described synthetic output A1 and A2 are the sizes of the dynamic acceleration in being illustrated under the environment that is subjected to acceleration of gravity 1G, for example also has the dynamic acceleration arithmetic unit, it is by calculating the difference between the output that described synthetic output A1 or A2 and predefined acceleration of gravity are the 1G size, under the influence of eliminating acceleration of gravity, calculate the size (dynamic acceleration) of body action, so also can be applied on the device of organism being measured according to described dynamic acceleration.Described acceleration of gravity is that the output of 1G size can be respectively the meansigma methods or the mid point in the regulation interval of synthetic output A1 or A2, also can be the meansigma methods in regulation interval of each body action output or the synthetic output of mid point.
In addition, as shown in Figure 2, when X-axis body action pick off 4a and Y-axis body action pick off 4b obtain body action signal AxO and AyO respectively, through amplifier 5 and 6, and A/D converter 7 and 8 obtain, however, but, also can between described each body action pick off 4a, 4b and described amplifier 5,6, common analog filters be set, to obtain described body action signal AxO and AyO in order to remove noise from each body action pick off 4a and 4b.

Claims (21)

1. body motion detection device comprises: the body action pick off, it is configured to the body action of different directions is detected, simultaneously to comprise each detection side to the body action signal of acceleration of gravity composition detect; Body action output arithmetic unit, it will be from the difference of described each body action signal of predefined bias voltage value as each body action output carrying out computing; Synthetic output arithmetic unit, it is used for synthesizing described each body action output, and computing is carried out in synthetic output; The body action counting assembly, it counts the body action of regulation according to described synthetic output.
2. body motion detection device according to claim 1 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
3. body motion detection device according to claim 1 is characterized in that, described body action pick off is configured to the body action of mutually perpendicular 2 directions or 3 directions is detected.
4. body motion detection device according to claim 3 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
5. body motion detection device according to claim 1, it is characterized in that, also has decision maker, the value that this decision maker is exported each body action that is calculated by described body action output arithmetic unit is judged, judge whether it is fit to carry out the computing of described synthetic output, when the value that determines described each body action output by described decision maker was not suitable for synthesizing, just the value with described body action output was considered as zero.
6. body motion detection device according to claim 5 is characterized in that, described synthetic output arithmetic unit extracts square root by the summation that the square value addition with each body action output valve is obtained and obtains synthetic output.
7. body motion detection device according to claim 5 is characterized in that, described body action pick off is configured to the body action of mutually perpendicular 2 directions or 3 directions is detected.
8. body motion detection device according to claim 7 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
9. body motion detection device according to claim 2, it is characterized in that, when the symbol of the symbol of the meansigma methods of the interval described body action output of regulation or mid point and the value of described body action output not simultaneously, described decision maker is judged to be the value that described body action exports and is not suitable for synthesizing.
10. body motion detection device according to claim 9 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
11. body motion detection device according to claim 9 is characterized in that, described body action pick off is configured to the body action of mutually perpendicular 2 directions or 3 directions is detected.
12. body motion detection device according to claim 11 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
13. body motion detection device according to claim 1, it is characterized in that, also has decision maker, the value that this decision maker is exported each body action that is calculated by described body action output arithmetic unit is judged, judge whether it is suitable for carrying out the computing of described synthetic output, when the value that determines described each body action output by described decision maker is not suitable for synthesizing, described synthetic output arithmetic unit is considered as zero with the value of described body action output, the synthetic output of union.
14. body motion detection device according to claim 13 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
15. body motion detection device according to claim 13 is characterized in that, described body action pick off is configured to the body action of mutually perpendicular 2 directions or 3 directions is detected.
16. body motion detection device according to claim 15 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
17. body motion detection device according to claim 13, it is characterized in that, when the symbol of the symbol of the meansigma methods of the interval described body action output of regulation or mid point and the value of described body action output not simultaneously, described decision maker is judged to be the value that described body action exports and is not suitable for synthesizing.
18. body motion detection device according to claim 17 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
19. body motion detection device according to claim 17 is characterized in that, described body action pick off is configured to the body action of mutually perpendicular 2 directions or 3 directions is detected.
20. body motion detection device according to claim 19 is characterized in that, described synthetic output arithmetic unit obtains synthetic output by the resulting summation of square value addition with each body action output valve is extracted square root.
21. according to any one described body motion detection device in the claim 1 to 20, it is characterized in that, described body action counting assembly also has the dynamic acceleration arithmetic unit, and the value and the difference between the described synthetic output valve of arbitrary output of the synthetic output of the mid point that this dynamic acceleration arithmetic unit is interval with the synthetic output of the meansigma methods in the regulation interval of the output of acceleration of gravity, described each body action output or regulation are carried out computing as the size (dynamic acceleration) of body action.
CNB2005101172275A 2004-11-01 2005-11-01 Body motion detection device Expired - Fee Related CN100425200C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2004318006A JP4591918B2 (en) 2004-11-01 2004-11-01 Body movement measuring device
JP2004318006 2004-11-01
JP2004-318006 2004-11-01

Publications (2)

Publication Number Publication Date
CN1768702A true CN1768702A (en) 2006-05-10
CN100425200C CN100425200C (en) 2008-10-15

Family

ID=36717842

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB2005101172275A Expired - Fee Related CN100425200C (en) 2004-11-01 2005-11-01 Body motion detection device

Country Status (2)

Country Link
JP (1) JP4591918B2 (en)
CN (1) CN100425200C (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103025241A (en) * 2010-07-27 2013-04-03 欧姆龙健康医疗事业株式会社 Gait change determination device
CN103584841A (en) * 2013-11-27 2014-02-19 中山大学 Muscle fatigue detecting system based on motion information in home-based care
CN109843170A (en) * 2016-10-06 2019-06-04 高木理加 The reason of for determining compensatory activity position method, system, program and computer installation and method and system for eliminating compensatory activity

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5006169B2 (en) * 2007-11-29 2012-08-22 セイコーインスツル株式会社 Pedometer
WO2009122788A1 (en) 2008-03-31 2009-10-08 シャープ株式会社 Body motion measuring device, mobile telephone, method for controlling the body motion measuring device, body motion measuring device control program, and computer-readable recording medium having the program recorded therein
JP6382775B2 (en) * 2015-08-17 2018-08-29 日本電信電話株式会社 Step counting device, step counting method, and program
CN107172514B (en) * 2017-05-18 2019-08-27 歌尔科技有限公司 Call processing method and device
CN114209308B (en) * 2021-11-23 2023-10-13 湖南云医链生物科技有限公司 Method, device, equipment and storage medium for measuring vitality of traditional Chinese medicine

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6301964B1 (en) * 1997-10-14 2001-10-16 Dyhastream Innovations Inc. Motion analysis system
US20030110859A1 (en) * 2001-11-14 2003-06-19 Ryoichi Fukui Acceleration sensors and pedometers using same
JP3916228B2 (en) * 2002-08-30 2007-05-16 株式会社タニタ Biological data estimation device during walking activity
US6821229B2 (en) * 2002-08-30 2004-11-23 Tanita Corporation Walking support system
JP3801163B2 (en) * 2003-03-07 2006-07-26 セイコーエプソン株式会社 Body motion detection device, pitch meter, pedometer, wristwatch type information processing device, control method, and control program
JP4155889B2 (en) * 2003-07-14 2008-09-24 ホシデン株式会社 Body motion detection device

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103025241A (en) * 2010-07-27 2013-04-03 欧姆龙健康医疗事业株式会社 Gait change determination device
CN103025241B (en) * 2010-07-27 2015-05-13 欧姆龙健康医疗事业株式会社 Gait change determination device
CN103584841A (en) * 2013-11-27 2014-02-19 中山大学 Muscle fatigue detecting system based on motion information in home-based care
CN109843170A (en) * 2016-10-06 2019-06-04 高木理加 The reason of for determining compensatory activity position method, system, program and computer installation and method and system for eliminating compensatory activity

Also Published As

Publication number Publication date
JP4591918B2 (en) 2010-12-01
CN100425200C (en) 2008-10-15
JP2006122573A (en) 2006-05-18

Similar Documents

Publication Publication Date Title
CN1768702A (en) Body motion detection device
CN1932524A (en) Apparatus and method for detecting step in a personal navigator
CN101413840B (en) Device and method for measuring object mass center
JP4913316B2 (en) Step calculation device
JP5547985B2 (en) Motion detection device, electronic device, motion detection method and program
CN1690661A (en) Electronic pedometer
CN105109490B (en) Method for judging sharp turn of vehicle based on three-axis acceleration sensor
KR100653315B1 (en) Method for measuring exercise quantity using portable terminal
CN106767888A (en) A kind of meter based on Wave crest and wave trough detection walks algorithm
CN101051055A (en) Method and apparatus of calculating an angle of inclination
CN1743806A (en) Moving-object height determining apparatus
EP1760474A3 (en) Velocity detection, position detection and navigation system
CN101694499A (en) Pedestrian gait detection-based system and method of walking speed measurement and transmission
CN1894556A (en) Method of calibrating a coordinate positioning apparatus
CN104215229A (en) RTK device adjusting method, RTK device adjusting system and RTK measuring method
JP5155117B2 (en) Gravity axis determination device and mobile terminal device using the same
CN1825152A (en) Auto focusing mechanism of surveying instrument
CN107976559A (en) Acceleration of gravity method is filtered out based on rest point detection
EP1553384A3 (en) Geomagnetic sensor with azimuth calibration by compensating for an effect of tilting and method thereof
CN106873612A (en) Electrodynamic balance car attitude method for quick
JP4758605B2 (en) Step calculation device
JP4405200B2 (en) Walking time calculation device and walking distance calculation device using the same
CN1609558A (en) Sensor signal processor
CN109304639A (en) For determining the device of high load capacity position in lathe
CN106205146A (en) Vehicle information acquisition and processing system and method based on dual-vector magnetic sensor

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20081015

Termination date: 20141101

EXPY Termination of patent right or utility model