JP2002065640A - Body movement sensing system, health management system and work management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system which is capable of sensing the movements of various parts of a human body by processing a signal that captures one of the body movements. SOLUTION: This system is structurally formed as a mobile equipment 7 which consists of a means 1 for detecting information, a means 3 for processing signals and a means 2 for obtaining a position of inputting an information on the mounted position of the means for detecting the information, which are integrally mounted on the almost same position, and the processing of signals of the above means for processing signals includes an information to be obtained from an inputted signal and an evaluation correlated with previously stored standard signals and switches the above information of referential standard signals, depending on the result in information inputted in the above means for inputting the information of the position. Thereby making it possible for the system to delicately cope with the characteristic variation in signal waves due to the difference of the mounted position of the mobile system of sensing the body movement and more accurately detecting the variation in body movements other than the center of gravity.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sensing system for detecting the movement (body movement) of a human body, a work management system and a health management system using the system, and more particularly to a work state and a health state of a person. The present invention relates to a sensing system for detecting the movement of a human body according to the above, a work management system using the system, and a health management system.

[0002]

2. Description of the Related Art Detecting body movements in a person's daily life and production activities is effective, for example, for the prevention of adult diseases caused by lack of exercise and the health management of the elderly. In addition, it is important to realize data collection for improving work efficiency at a production site. In recent years, various portable, small, and multifunctional body motion sensing systems have been researched, developed, and proposed for the purpose of detecting practical body motions indoors and outdoors.

As a typical example of the prior art relating to a body movement monitoring (synonymous with sensing) system, for example,
Journal of Mechanical Engineering & Technology, 21
The technique described in FIG. 2 of No. 3-4 (1997) pp. 96-105 is known (hereinafter referred to as conventional technique 1). This prior art 1 monitors an output signal of an acceleration sensor provided at three places of a wrist, an ankle, and a waist of a person and an electrocardiogram waveform (ECG) through a signal wire through a wire, and carries a plurality of monitored information with the user. This is a system in which data is stored in an easy small semiconductor storage medium in multiple channels. The portable storage device described above is driven by a lithium battery or the like, and the stored information is transferred to a separately provided computer.
Statistical analysis processing is performed. In the prior art 1, by providing the acceleration sensors at different positions on the body, it is possible to correctly monitor not only the waist movement close to the center of gravity of the person but also the movement caused by the movement of the hands and feet.

As another prior art, instead of providing different sensors at various parts of the body, the output of one sensor is
Some try to distinguish between various walking states. As this kind of conventional technology, for example, Method of Information in
The technique described in Medicine, 36 (1997) pp. 356-359 and the like is known (hereinafter referred to as Conventional Technique 2). This prior art 2 distinguishes walking on flat ground, walking up stairs, and walking down stairs by providing an acceleration sensor having sensitivity in one axis direction only at the waist position and processing an output signal waveform thereof. Is made possible. In the second prior art, the walking state can be actually distinguished by using the wavelet transform. This prior art,
Although the sensor is connected to the amplifier through a 10 m signal wiring, compared to the above-described prior art 1, it is not necessary to arrange a plurality of sensors by wire in each part of the human body, so that the wiring hinders free movement of the body. This has the advantage of being less.

[0005]

The prior art 1 described above.
Can detect detailed body movements including limb movements, but has the problem of hindering complex movements of the human body because it is necessary to arrange multiple sensors on each part of the human body in a wired manner when hitting the monitor. For this reason, there has been a problem that the method is not suitable for continuously detecting natural body movements during an individual's daily life or production activities.

In the above-mentioned prior art 2, the output from one sensor is signal-processed to obtain a plurality of body movement information. Therefore, a sensor mounting method which does not hinder an individual's daily life or production activities. May be possible. However, this prior art 2 focuses on the waist movement close to the center of gravity of the person, and extracts and detects a signal from an acceleration sensor having sensitivity in only one axis, so that it cannot capture various movements of various parts of the human body. Has problems.

That is, it is difficult for both of the above-mentioned prior arts to simultaneously detect the movement of various parts of the human body and reduce the number of detection units (acceleration sensors and the like) required for the movement. When considering the practical application of a health management system or work management system based on sensing, it is difficult to obtain necessary body movement information of each part of the human body without affecting the body movement of the subject. have.

[0008] In order to construct a body movement sensing system in which a sensor is attached to only one part of the human body and signals are processed while capturing the body movement with the sensor, the movement of each part of the human body can be grasped. Considering what kind of problem should be solved, the following two problems can be considered.

(1) The movement of the center of gravity of a person gives substantially the same periodic fluctuation signal irrespective of the position of the detection unit, except for the magnitude of the detection sensitivity and the presence or absence of a disturbance. In many cases, the sensor is mounted at the waist position because the waist position near the center of gravity is sensitive and appropriate. On the other hand, the movement of each part of the human body other than the center of gravity may change the characteristics of the signal waveform itself depending on the position of the detection unit. For example, when lifting an arm, an acceleration sensor attached to the wrist directly detects a change in acceleration due to direct movement of the arm, but at the same time, an acceleration sensor attached to the back detects a change associated with movement of the muscles of the back. To detect. When considering the portability of a body motion sensing system, not only a small detection unit but a waist belt, for example,
There is a need for a degree of freedom in mounting such that the detection unit can be mounted on the breast pocket, or the detection unit may be provided at any position with the same belt. However, when trying to analyze various body movements by extracting the characteristics of the signal waveform as in the wavelet transform described in the above-described conventional technology, the difference in the mounting position of such a detection unit is caused by the characteristic of the signal waveform. Since the change itself is caused, the detection result such as an erroneous detection is greatly affected.

(2) When trying to capture the movement of each part of the human body other than the center of gravity, various body movements may not be clearly captured only by the sensor output having sensitivity in only one axial direction. When the center of gravity movement during walking is the main measurement target as in the above-described conventional technique, the body vibration direction should be substantially 1
Since the movement can be represented by two axial directions, the direction in which the sensor has sensitivity is matched with the direction, and the output signal may be processed. On the other hand, when trying to sense a more complicated body movement, it is generally necessary to obtain independent outputs in three axial directions. In this case, for example, a method in which a plurality of independent sensors are collectively carried at one place on mounting can be considered. However, if the above-described wavelet transform is directly applied to each sensor output, the load of signal processing increases. . In addition, when considering a maintenance-free body movement sensing system for a long period of time, it is necessary to consider a power supply method sufficient for driving the aforementioned plurality of detection units. In addition, in order to consider a device that is convenient to carry, a detection unit for obtaining information needs to be able to detect a plurality of pieces of information and to be small in size.

SUMMARY OF THE INVENTION An object of the present invention is to solve the above-mentioned problems of the prior art, and to detect body movements at one place and process the signals to detect the movements of various parts of the human body. Another object of the present invention is to provide a system and a work management system and a health management system using the system.

[0012]

According to the present invention, there is provided a portable device having at least one information detecting means and a signal processing means for processing an output signal of the information detecting means to obtain body movement information. In the body movement sensing system, the signal processing means is manually or automatically input, or by performing signal processing based on the mounting position information of the information detection means already stored, the signal detection means, Means, the signal processing means, and position information input means for providing mounting position information of the information detecting means are integrally mounted at substantially the same position. Processing means for extracting at least one feature value from the image data, and a body motion determination process for determining a body motion based on the extracted feature value or an index value calculated based on the feature value And at least one of the feature amount extraction processing means and the body movement determination processing means is referred to based on mounting position information of the information detection means from a plurality of database sets provided in advance. This is achieved by selecting and referring to at least one of the database sets to be extracted, extracting the characteristic amount by extracting the characteristic amount, and performing the body motion determination by the body motion determining processing unit.

[0013] Further, the object is to provide one of the information detecting means.
One outputs a single output signal with a predetermined detection sensitivity for each of a plurality of pieces of information independent of each other, and the signal processing means performs signal processing based on the output signal of the information detection means. This is achieved by providing a signal synthesizing unit for synthesizing one output signal from each of the output signals of the detecting unit, and the signal processing unit performing signal processing based on the output signal of the signal synthesizing unit.

The object is to provide at least one information detecting means, a signal processing means for processing an output signal of the information detecting means to obtain body movement information, and position information for providing mounting position information of the information detecting means. Input means, and a main part of signal processing by the signal processing means is a correlation evaluation between a signal waveform and at least one reference waveform set in advance, in particular, a wavelet transform, and the magnitude of the correlation is determined. In a portable body motion sensing system for determining and identifying a mode of body motion, the portable body motion sensing system is achieved by selecting the reference waveform based on mounting position information of the information detecting means.

The object is to provide at least one information detecting means, a signal processing means for processing an output signal of the information detecting means to obtain body movement information, and position information for providing mounting position information of the information detecting means. Input means, the main part of the signal processing by the signal processing means is signal processing in the frequency domain including Fourier transform of the signal, the signal strength of at least one frequency domain provided in advance by the signal processing In a portable body motion sensing system that extracts and determines the magnitude of the signal strength to identify the mode of body motion, the portable device is achieved by selecting the frequency domain based on mounting position information of the information detecting means. You.

Further, the object is to provide a portable body movement sensing system having at least one information detection means and signal processing means for processing an output signal of the information detection means to obtain body movement information. The detection means and the signal processing means are integrated on a common silicon substrate, and the auxiliary information detection means is provided at a position different from the information detection means. This is achieved by performing wireless information communication between an auxiliary information detection unit including the above and a signal processing unit including the signal processing unit.

[0017]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the body motion sensing system according to the present invention will be described in detail with reference to the drawings.

FIG. 1 is a block diagram showing a configuration of a body motion sensing system according to a first embodiment of the present invention. In FIG. 1, 1 is an information detecting unit, 2 is a position information input unit, 3 is a signal processing unit, 4 is a display / communication unit, 5 is a power supply unit, 7 is a portable device, 21 is a position information input unit, and 22 is a position information input unit. The information input unit 23 is a storage unit.

The body motion sensing system according to the first embodiment of the present invention is configured as a portable device 7 attached to a human body, and detects body motion information such as displacement, speed, acceleration, rotation angle, and rotation angular speed of the human body. Detecting means 1 and position information input means 2 for inputting mounting position information of information detecting means 1
And input / output means for the signal processing means 3 and the outside. For example, display on a liquid crystal screen, touch input on the screen,
A display / communication unit 4 which is an interface of a wired / wireless communication unit, and a power supply unit 5 are provided.

In the above description, when a plurality of detecting elements (sensors) are used as described later, the information detecting means 1 is mounted in almost one place. The position information input unit 2 includes a position information input unit 21 of the position information input unit and a position information control unit 22 that determines how to transmit a signal obtained from the position information input unit 21 to the signal processing unit 3. It is configured. Position information control unit 22
Has a storage means 23 capable of storing input position information in a nonvolatile manner. The signal processing means 3 includes position information 102 and 106 obtained from the position information input means 2,
Signal 10 externally input via display / communication means 4
4, the output signal 101 of the information detecting means 1 is processed, and the result is output as a signal 103. The display / communication means 4 may include an I / O port in addition to the functions described above. When the portable device 7 is used without performing communication with the outside, the display / communication means 4 may include a storage means as a temporary output destination.

Since the contents of the position information 102 may change during the operation of the system, the position information
Always stores new position information in the storage means 23. When the storage content is updated, the position information control unit 22 notifies the signal processing unit 3 by a signal 107 that the storage content has been updated. As a method of transmitting the update of the stored content, for example, a flag switching process may be performed. As the signal 107, the updated information can be directly transmitted to the signal processing unit 3. Signal 10
Reference numeral 5 denotes an instruction to read the stored position information, and a signal 106 indicates the read position information. Power supply unit 5
Is, specifically, composed of a chargeable / dischargeable battery. In addition, 201 shown in FIG. 1 indicates a power supply signal when power is supplied wirelessly from outside the device via the display / communication means 4.

Each of the above-described components is integrally mounted as a portable device 7 at a substantially same position so as to be portable. The position information input unit 21 is simply a changeover switch provided on the portable device 7. For example, portable places of the portable device are roughly classified into a breast pocket, a waist side, a waist back, and the like, and these are respectively assigned to numbers 1, 2, and 3 shown in the drawing, and the user switches the place for each place actually used. In FIG. 1, the power of the device is turned off at the position where the switch is turned off, so that the user can simultaneously turn on the switch and select the mounting location. If the switching of the position information input means 21 is appropriate, the portable device 7 shown in FIG. 1 can detect, determine, and output more accurate body movement information for various forms of body movement.

For example, in the case of a body motion that is hardly reflected on the movement of the center of gravity such as a swing of the arm, the characteristics of the detected body motion may be significantly different depending on the position of the portable device 7 including the information detecting means 1. . In such a case, the means shown in FIG. 1 can perform optimal signal processing according to the position of the apparatus by switching the position information input means 2. If the switching is not appropriate, detailed body motion information cannot be obtained, but, for example, a motion related to the center of gravity of the body such as a periodic vibration accompanying walking can be detected almost accurately. The type of switching does not necessarily need to be the type shown in the figure, and may be provided with a finer division or a larger division. For example, it may be roughly classified into two types, that is, the case of attaching to a body and the case of carrying in a bag. Analyze the characteristics of the waveform as described below,
Adopting the signal processing method to judge, if it is possible to detect the characteristics of the required signal, it is possible to estimate the likely body motion based on the obtained information without directly capturing the body motion .

As described above, the system according to the embodiment of the present invention can obtain a reasonable output result for the movement near the center of gravity of a person regardless of whether the switching position of the position information input unit 21 is correct or not. For this reason, for example, a user who needs only relatively rough information, such as a case of using it as a pedometer (registered trademark) that focuses on a periodic change in body motion, can use a normal ON switch without worrying about the switching position. All you have to do is move the switch in the same way. Further, a user who wants more detailed information on calorie consumption and the like can obtain more accurate information by frequently switching the switch, so that it can respond to a wide range of user requests.

Of course, the embodiment of the position information input section 21 is not limited to the method shown in FIG. For example, the position information input unit 21 may be provided with a plurality of switches corresponding to the switching positions, and the user may select and press these switches, or turn off the number of times one switch is pressed.
It is also possible to select 1 → 2 → 3 → OFF. Alternatively, the user may touch and select the screen from the menu displayed on the screen. Further, unlike the case shown in FIG. 1, the ON / OFF switch of the portable device 7 may be provided separately from the position information input unit 21. In this case, as an example, two buttons, ie, an ON / OFF switching button (switch) and a button (switch) for repeatedly switching the position information from 1 → 2 → 3 → 1 may be provided. When the ON / OFF switch of the portable device 7 is provided separately from the position information input unit 21, there is no need to re-input the position information every time it is used. Subsequent to the switch ON, if there is no new input 102 from the position information input unit 21, since the position information up to the previous time has already been stored in the storage unit 23, the signal processing unit 3 When the necessary read instruction 105 is issued to the user, the previously stored position information 106 can be obtained. By doing so, it is only necessary to input position information only for the first time, for example, when the user habitually carries the portable device at substantially the same position. If there is a new input 102 during the signal processing,
The position information control unit 22 updates the contents of the storage unit 23 and updates the storage contents with the signal 107 by the signal processing unit 3.
Tell

The signal processing means 3 may read the new position information after a series of signal processing in response to the update of the stored contents. The stored position information may be displayed on the display unit 4 as it is. The user confirms this and is convinced that he can carry the device. In addition,
In the switching type position information input unit 21 shown in FIG. 1, the position information is mechanically held according to the position of the changeover switch, and thus the storage unit 23 is not necessarily required. In this case, when the switch is turned off once and then turned on again, the position information is naturally re-entered depending on the position of the switch simultaneously with the operation of turning on the switch as described above.
The signal processing means 3 performs signal processing with reference to the position of the switch.

The fact that the power supply unit 5 is supplied with power by the power supply signal 201 from the display / communication means 4 basically displays a signal sent from the outside in the form of an electromagnetic wave.
This can be realized by receiving the data through the communication unit 4. In this case, the display / communication means 4 receives a sine-wave electromagnetic wave of a specific frequency transmitted from the outside, obtains a sine-wave voltage signal via a sine-wave current or a resistor, and rectifies the sine-wave voltage signal. The voltage can be obtained and used for charging the battery of the power supply unit 5 which can be charged and discharged.
The power that can be transmitted wirelessly is generally small, but communication over long distances is possible.
It can be used as a power supply means for a system in which a signal processing circuit centered on S and a battery are combined. The supply of power may be performed at all times, but the remaining charge of the power supply unit 5 is monitored by a voltage value or the like, and as a result, a request to start charging is made when the remaining charge falls below a predetermined value. The information may be transmitted to a predetermined external device.

Then, from the information on the body movement detected by the illustrated system, the situation where the object is placed can be determined, and depending on the result, power supply by wireless may or may not be performed. You can also. Since the supply of power by radio transmits a certain amount of power, it may be assumed that the radio affects precision machines, electric appliances, and the like. For this reason, for example, the vibration of the train is detected from the information of the body motion, and it can be determined that the target is on the train. In addition, the communication mode can be switched, for example, by stopping the communication with the communication device and not transmitting the charging start request. Here, the communication mode is defined by classifying conditions in external communication such as restricting communication with a predetermined power or more.
A condition relating to the content of information, such as communication of only predetermined information, may be used as the communication mode. The signal 103 output during a period in which communication with the outside is not performed may be stored in a storage unit that can be provided as a temporary output destination in the display / communication unit 4. The information temporarily stored in the display / communication means 4 may be collectively communicated when it is determined that communication with the outside is possible, or the information may be stored in the stored state. You may make it utilize as.

The embodiment shown in FIG. 1 is based on the assumption that the output signal 103 is transmitted to the outside continuously or at predetermined intervals or in response to a request signal from the outside. May be stored in the storage means in the display / communication means 4 which is the temporary output destination. The determination conditions such as which communication mode to select in which situation are determined in advance in the signal processing unit 3 or the display / communication unit 4.

FIG. 2 is a diagram for explaining a configuration example of the information detecting means 1 provided in the first embodiment of the present invention, which will be described below. In FIG. 2, 60 is a case, 6
1a is a pressure detecting means, 61b is a diaphragm, 62 is a silicon substrate, 63 is a signal converting means, 64 is a mass body, 65
Is a deformed body, 66 is a connecting means, and 67 is a connector. FIG. 2A is a cross-sectional view of the information detecting means.
FIG. 2B shows a top view thereof.

When a complicated body motion is to be detected, it is preferable that a plurality of mutually independent information such as vibration and rotational motion having three degrees of freedom can be simultaneously detected. On the other hand, if a large number of sensors are collected and mounted as the information detecting means 1 for this purpose, the size of the device may be increased, and the cost may be increased. The information detecting means 1 shown in FIG.
It is configured such that vibration changes with three degrees of freedom of x, y, and z can be collectively captured by one sensor chip.
The information detecting means 1 comprises a dome-shaped pressure detecting means 61a provided on a silicon substrate 62 housed in a case 60, and a circular diaphragm 61b provided on a dome-shaped ceiling of the pressure detecting means 61a. , A signal conversion means 63 provided on a silicon substrate 62, a mass body 64, and a deformable body 65.

In the above description, the structure of the diaphragm 61b does not necessarily have to be circular, and may be, for example, a square or a general polygon. Diaphragm 61
b is a pressure detection surface. Since the diaphragm 61b is deformed when it receives pressure, if the deformation is detected through a piezoresistance effect or a change in capacitance, the change in pressure can be electrically detected. The structure of the pressure detecting means 61a can be formed on the surface of the silicon substrate 62 by using a surface micromachining technique called sacrifice layer etching. The signal converting means 63 provided on the silicon substrate 62 is configured such that the pressure detecting means 61a has a diaphragm 61b.
Is detected by a change in capacitance, a change in the capacitance (C) is converted into a change in voltage (V), which is convenient because it is convenient to handle signals. In addition, the signal conversion unit 63 includes a pressure detection unit 61a.
Since the sensor output generally shows a non-linear response, a process of compensating for the linearity of the sensor output and adjusting the slope and zero point of the compensated linear output is performed. The signal conversion unit 63 integrates functions of an A / D conversion unit, a memory unit, an arithmetic circuit, a D / A conversion unit, an analog circuit, a protection circuit, and the like for performing these processes by a semiconductor process. Of course, a more sophisticated signal processing circuit may be added to the signal conversion circuit 63.

The mass body 64 is provided with the pressure detecting means 61 described above.
It is provided so as to be in contact with the deformable body 65 that covers the diaphragm 61b on a, and deforms the deformable body 65 according to body movement. The mass body 64 is formed of, for example, a metal plate such as aluminum, and the deformable body 65 is, for example, a silicone gel. Considering environmental resistance, a fluorine-based silicone gel is desirable. The mass body 64 and the deformed body 65 may be mounted so as to be in direct contact with each other as shown in FIG. 2A, or a thin film is provided on the surface of the deformed body 65, and the mass is placed on the thin film. A body 64 may be provided. Alternatively, the mass body 64 may be provided inside the deformed body 65.

The silicon substrate 22 in the illustrated information detecting means 1 and the outside thereof are electrically connected by a connecting means 66 to a connector 67 for connection to the outside. The connection means 66 is, for example, a gold wire or an aluminum wire, and the connection can be realized by wire bonding. Although not shown in FIG. 2, it is desirable to provide a lid on the case 60 so that a finger does not touch the mass body 64 or the deformed body 65. The above-described pressure detecting means 61a and the signal conversion circuit 63 are, for example,
The case 60 can be integrated on a small silicon substrate 62 having a size of 3 mm square and a thickness of 0.5 mm.

Next, the function of the information detecting means shown in FIG. 2 will be described. Now, for example, x (or y) in FIG.
When the body moves in the axial direction, since the mass body 64 has inertia, the mass body 64 moves in a direction opposite to the body movement while pulling the deformable body 65, thereby giving a distortion inside the deformable body. Similarly, FIG.
If there is a body movement above the z-axis perpendicular to the paper surface of (b), the mass body 64 compresses the deformed body 65, and if there is a body movement below the z-axis, the mass body 64 pulls the deformed body 65. Exercise relative to. The deformation of the deformable body 65 causes a deformation of the diaphragm 61b of the pressure detecting means 61a through a change in internal stress. Therefore, if this is electrically detected, the occurrence of body movement can be detected. Generally, since the body motion changes applied to each of the x, y, and z axes are superimposed, the pressure detector 6
1a outputs a complex signal waveform, but if the waveform of a signal output with characteristic body movement is stored in advance as a reference waveform, the correlation between the reference waveform and the signal waveform is compared in magnitude. Thus, a specific body motion can be extracted and separated. According to the first embodiment of the present invention, one output waveform of the sensor includes body motion changes corresponding to three spatial degrees of freedom.
Certain parts reinforce each other and certain parts weaken to create a unique signal. By extracting the characteristics of the signal, the movement of the entire body can be comprehensively captured.

Here, consider the same movement in the x-axis direction and the y-axis direction. Assume that the center of the mass body 64 and the diaphragm 61
If the center of b is made coincident in the xy plane, in this case, since the same deformation in only the direction is applied to the deformable body 65, the two cannot be distinguished by the axially symmetric diaphragm 61b. In order to avoid this, a diaphragm having no axial symmetry may be designed or a deformable body 65 may be used.
The hardness and type of the diaphragm may be made non-axially symmetrical, but simply, as shown in FIG. 2B, the center between the mass body 64 and the diaphragm 61b is shifted.
As shown in (b), the mass body 64 and the diaphragm 61b
The dimension a in the y-direction and the dimension b in the x-direction with respect to the center may be different from each other. According to this, the x-axis direction and y
The degeneracy of the sensitivity with respect to the axial direction can be solved. More generally, the diaphragm 61 which passes through the center or the center of gravity of the mass body 64 and is a pressure detecting surface of the above-described pressure detecting means 61a.
The axis perpendicular to b and the axis passing through the center or the center of gravity of the diaphragm 61b, which is the pressure detecting surface of the pressure detecting means 61a, and perpendicular to the pressure detecting surface may not overlap each other.

The usual usage of the sensor is the sensitivity on the x axis and the y
Although the sensitivities of the axes are matched as accurately as possible, and both signals are processed independently, the embodiment of the present invention does not need to intentionally match these two sensitivities.
This is because, assuming a correlation evaluation between a reference waveform and a signal waveform prepared in advance, it is more important to obtain a characteristic signal for each body motion than to match the sensitivities. By the signal superposition method, the waveforms can be synthesized so as to emphasize characteristic changes of a specific signal. Such a method is possible because the body movement to be focused on can be relatively limited for each system application, and it is not always necessary to uniformly detect all body movements.

When it is necessary to independently detect changes in the respective axial directions, a plurality of pressure detecting means 61a may be provided on the silicon substrate, and their signals may be independently taken out. Since the respective sensitivities differ depending on which part of the silicon substrate is provided with the pressure detecting means, the motion of each of the three degrees of freedom can be extracted by comparing the obtained signals.

When a capacitance type pressure measurement is used as the pressure detecting means 61a, high detection sensitivity can be obtained in principle with a dome structure having a low step. This is because, when the electrodes facing the diaphragm 61b and the substrate 62 are provided to capture the change in capacitance, the smaller the distance between the electrodes, the higher the detection sensitivity to deformation. In order to accurately detect the deformation of the deformable body 65, a diaphragm having a large diameter and a low step may be provided. Since the frequency response of the diaphragm itself can be made sufficiently high, the frequency response as the pressure detecting means can be adjusted by the amount and hardness of the silicone gel as the deformable body 65.

FIG. 3 is a diagram for explaining an example of signal processing according to the first embodiment of the present invention, which will be described below. In FIG. 3, reference numeral 31 denotes an A / D conversion processing unit;
2 is a feature amount extraction processing unit, 33 is a body motion determination processing unit, 34 is a database selection processing unit, 35 is a database set, and other symbols are the same as those in FIG.

The signal processing means 3 described above comprises, as shown in FIG. 3, an A / D conversion processing section 31 for A / D converting the signal from the information detecting means 1, and an A / D converted signal. A feature value extraction processing unit 32 for extracting a feature value of a signal from
It is configured to include a body motion determination processing unit 33 that determines a body motion based on the feature amount of the extracted signal, a database selection processing unit 34, and a database set 35. At least one of the feature amount extraction processing unit 32 and the body motion determination processing unit 33 refers to at least one database included in the database set 35 stored in advance, respectively (1
08, 109) Perform signal processing. For example, when performing a correlation evaluation with reference data, the feature extraction processing unit 32 switches the reference data according to the position information. Further, when performing a body motion determination by comparing the value of a specific parameter with a threshold value, the body motion determination processing unit 33 selects and switches the type or threshold value of the parameter according to the position information. Here, the database to be referred to is selected by the database selection processing unit 34 from a plurality of database sets based on the mounting position information 102 obtained by the position information input unit 2. The number of database sets may be set according to the type and accuracy of required body motion detection. When selecting a database, the database selection processing unit 34
Reference is made to the mounting position information stored in the storage means 23 included in the storage unit 2. When a new signal is input to the position information input unit 2, the position information control unit 22 outputs as a signal 107 that the position information has been changed. Upon receiving the signal 107, the database selection processing unit 34
With reference to the storage means 23 (105), position information (106)
I'm trying to get

The first embodiment of the present invention employs a method of judging a body motion by comparing characteristics between signal data stored in advance and signal data obtained by measurement. The feature is that a database is selected by switching the database set 35 based on the mounting position information obtained from the position information input means 2. In general, the feature amount such as the vibration component accompanying the body movement changes depending on the carrying position of the body movement sensing system to be carried. Can be determined correctly.

Although the above-described signal processing is based on digital signal processing, similar processing may be performed mainly by an analog circuit. For example,
By combining a signal generating means for generating a reference signal and a lock-in amplifier for calculating a product of the reference signal and the input signal and outputting a correlation strength, it is possible to perform a correlation evaluation between the reference signal and the input signal. it can. In this case, the reference signal generated by the signal generating means may be switched based on the input signal 102 of the position information input means 2. Also,
Instead of switching the reference signal generated by one signal generation unit, a plurality of signal generation units may be provided, and the reference signal output from each signal generation unit may be appropriately switched and used.

When the body movement determination processing unit 33 performs the body movement determination, the determination may be facilitated by the reference information 104 from the outside. For example, in a work management system, knowing which section a worker is in can sometimes limit the work content of each section, and when work in a specific section is only opening and closing a valve, almost The periodic movement of the arm indicates that the valve is being opened and closed. In some cases, the direction of opening and closing can be estimated from the dominant arm and its movement. When such reference information 104 is provided from outside, the body motion determination processing unit 33 can perform detailed estimation of the body motion.

FIG. 4 is a diagram for explaining an example of correlation evaluation in the frequency domain, which will be described below.

The example shown in FIG. 4 uses the spectrum intensity information of the reference signal as a database. More specifically, as shown as reference data in FIG. 4A, a set of databases in which signal intensities are assigned to frequency regions separated from region 0 into n (integer) is used. Here, the spectrum intensity F (m) of the frequency region m is standardized so that the sum regarding the region becomes 1. This database is representative of, for example, one body motion mode such as walking, and is characterized in that the intensity of the frequency domain k is significantly larger than that of the surrounding frequency domain in the example of the figure. In order to perform a comparison process with reference data included in the database, the signal obtained from the information detecting means 1 is also converted into a signal in the frequency domain. Specifically, the A / D conversion in the A / D conversion unit 31 described with reference to FIG.
After the conversion, the feature amount extraction unit 32 obtains a spectrum intensity distribution using a fast Fourier transform (FFT) technique. FIG. 4B schematically shows an example of the result as observation data. According to the observation data, it can be seen that the signal strength in the frequency domain k is as small as the value in the surrounding frequency domain, and is different from the body motion mode corresponding to the reference data.

The comparison between the reference data and the observation data is shown in FIG.
Is carried out by the body motion determining unit 33 shown in FIG. At this time, for example, if the information 102 “back of waist position” is input from the position information input means 2, the information is stored in the storage means 23, and the database selection unit 34
Selects a database suitable for the location information. Here, the database suitable for the position information is, for example, a body motion sensing system according to the present invention is attached to the “back of the waist” in advance to collect the detection signal 101, or the same conditions are reproduced by simulation. This means a database created by predicting the detection signal 101. Instead of using the obtained information as a database as it is, a database may be created by extracting and processing only the characteristics of the signal. The selected database is used for the body movement determination in the body movement determination 33 part (10
9). In this case, the body motion determination is to compare the spectrum intensity distributions F (m) and G (m) between the reference data and the observation data.

More specifically, as shown in the calculation method below FIGS. 4A and 4B, the signal intensity F (m) and G (m) are smaller for each frequency region m. If one of them is selected, as shown in FIG.
Can be extracted. The larger the overlap, the greater the correlation.
Therefore, a value obtained by calculating the sum of H (m) for the frequency domain m can be used as an index of the correlation strength. FIG.
In the example shown in (1), the signal strength in the frequency domain k is small in the observation data as described above, so that the correlation strength is small. In the body motion determination by the body motion determination unit 33, the comparison process as described above is repeated for each of the representative body motion modes included in the selected database, and the body motion mode having the largest correlation is observed. This is performed so as to determine that the body motion has occurred. In this case, it is preferable to presuppose that the index of the correlation strength is larger than a certain threshold. This is because the actual body movement may not match any of the body movement modes prepared in advance. In such a case, each of the obtained indices is small, but has a certain value due to the influence of signal noise or the like. If these values are compared as a reliable value, an incorrect result will be output. Provided that the index is larger than a certain value, only a significant signal can be used for the determination processing.

The correlation evaluation described above may be performed only in a specific frequency region. In the above example, a specific body motion mode can be extracted by focusing on the frequency domain k. One frequency region or a plurality of frequency regions to be noted is information (102, 107, 109) obtained from the position information input means 2 in the body motion determination.
And can be selected.

In the embodiment of the present invention described above, if the actual body motion does not match any of the body motion modes prepared in advance, the information "disabled" is output. Conversely, the result of inability to discriminate includes information that "does not match any of the previously prepared body motion modes." Can be.

The more the number of body motion modes prepared for each of the plurality of databases is, the more accurate the judgment can be made. However, there is a problem that the amount of the database becomes enormous. In this case, the data amount can be reduced by selecting a typical body motion mode according to the purpose of the system.
It seems that if the body motion mode is limited, the body motion to be determined is reduced, but the actual body motion can often be expressed by a combination of the basic modes. In such a case, a more complicated operation can be determined by considering not only the maximum value of the index of the correlation strength but also the connection of a series of modes and the ratio of the index value to each mode. For example, if two body motion modes, such as bending over and moving a hand, occur successively, and the index value has a predetermined size and ratio, this should be recognized as one motion. Just fine. If the work environment information can be obtained as the reference signal 104, it is possible to distinguish whether this operation is an operation of "weeding grass" or an operation of "opening and closing a foot piping valve". Then, by using the value of the sum of the indexes or the value of the sum weighted for each mode as one index again, a series of operations can be represented, and the combination of the basic body motion modes can be regarded as one operation. By recognizing as, advanced body movements can be expressed without greatly increasing the amount of the database.

FIG. 5 is a diagram for explaining an example of the correlation evaluation in the time domain, which will be described below. FIG.
In the figure, 32a is a correlation evaluation unit, 32b is a bias detection unit, and other symbols are the same as those in FIG.

In the example shown in FIG. 5, a plurality of finite-length reference signal waveforms are used as a database.
These reference signal waveforms are extracted by experiment or simulation to extract the characteristics of the signal waveform obtained for each body motion mode depending on the carrying position of the body motion sensing system.
It is processed. The signal 106a is mounting position information for selecting a reference waveform or a set of reference waveforms. The signal 106b is mounting position information referred to in the body movement determining unit 33. The signals 106a and 106b are transmitted from the position information controller 22 already described to the reference waveform selector 34.
And the body motion determining unit 33. Note that FIG. 5 does not show the signal 105 relating to information reading from the position information control unit 22 by omitting it. Correlation evaluation unit 32a
Performs a correlation evaluation between the detection signal waveform and the reference waveform. The body movement determination unit 33 changes the determination threshold based on the mounting position information 106b, for example. Depending on the mounting position of the body motion sensing system, the detection signal of a specific body motion mode may be relatively small.
By setting an appropriate threshold value with reference to b, more accurate body motion detection can be performed. The contents that can be determined with reference to the mounting position information 106b are not limited to the setting of the threshold. For example, when the correlation evaluation unit 32a performs a correlation evaluation with a plurality of reference waveforms, the weight for each reference waveform can be changed depending on the mounting position information 106b. As a result, a correct evaluation result can be obtained even when the characteristics of the obtained signal waveform change depending on the portable position of the system.

In the evaluation by the correlation evaluation unit 32a,
By previously detecting and removing the DC (bias) component of the detection signal in the bias detection unit 32b, only the AC characteristics of the signal can be easily extracted. That is, only the AC characteristics of the signal need to be extracted as the reference signal waveform. On the other hand, the direct current (bias) of the signal
In many cases, useful information is also included in the components.
For example, when an acceleration sensor is used for signal detection, it is possible to determine whether a person is standing or lying down from the value of the DC (bias) component by devising the mounting direction of the sensor. The body motion determination unit 33 uses the value of the DC (bias) component of the signal separated by the bias detection unit 32b in the determination process together with the correlation evaluation. Specifically, even if the AC component is almost zero and the result of the correlation evaluation is indistinguishable, if a significant value is shown in the DC (bias) component, for example, a value corresponding to the gravitational acceleration, It can be seen that the acceleration sensor is in a direction capable of detecting gravity, and as a result, for example, it can be determined that a person is lying down. If there is a gradual change in the AC component corresponding to the respiratory cycle or a change such as turning over, it can be understood that the subject is sleeping comprehensively. On the other hand, when the AC component is almost zero (less than or equal to a predetermined threshold) for a certain time or more, it can be estimated that an emergency state such as an accident has occurred.

There are various methods for evaluating the correlation other than those described above. Next, a method based on a direct comparison between the reference waveform and the observation signal waveform and a method based on the wavelet transform will be described.

The method of directly comparing the reference waveform with the observation signal waveform evaluates the magnitude of the correlation between the waveform sampled for a finite time and each reference waveform prepared in advance. The correlation evaluation method is, for example, that the vertical axis of the data shown in FIGS. 4A and 4B is changed from the spectrum intensity to the signal intensity for each time, and the horizontal axis is the time discretized from the discretized frequency. And the method described with reference to FIG. 4 can be used as it is. The problem here is that the required time differs for each body motion mode. As a method of efficiently detecting a body motion mode having a different required time, there is a method of extracting an observation waveform corresponding to the required time, performing expansion / contraction of the waveform, that is, performing a time normalization process, and normalizing the signal waveform with respect to the required time. The required time for each body motion mode is, for example, the time when the differential value of the signal after averaging the noise has become equal to or greater than a predetermined threshold from a state of approximately zero, as the start of the required time of the body motion mode, and is set to zero again. The time required to return to the state can be determined as the required time. In the case of an exercise having a clear periodicity such as walking, or an exercise having a pseudo-periodicity such as repeatedly lifting an object on a shelf, the required time may be set in units of repetition.

The unit of repetition can be obtained, for example, by performing an FFT on the sampling signal and obtaining a value in a frequency domain having a spectrum intensity prominent in a region apart from the DC component, or detecting a period by an autocorrelation function. You may ask for it by doing. Conversely, as for the signal having no prominent peak in the spectrum intensity or the signal in which the peak is concentrated only in the vicinity of the DC component, the change in the signal differential component may be noted as described above. The method of directly comparing the reference waveform and the observation signal waveform is suitable for detailed analysis of a signal having no noticeable periodicity.

The method based on the wavelet transform uses the signal 1
The type of the basic wavelet can be selected and executed based on 06a. Further, the determination area to be noted may be selected by the signal 106b. In order to make these contents easy to understand, the wavelet transform will be briefly described. In the wavelet transform, first, a shape of a wave packet that shows vibration for a finite time is selected. This is called a wavelet. The correlation between the selected wavelet and the actual signal is evaluated while moving the selected wavelet along the time axis. This is the basis of wavelet transformation. In the wavelet transform, the wavelet is further expanded and contracted (scale converted) along the time axis, and correlation evaluation between the expanded and contracted wavelet and an actual signal is repeated. As a result, the output result of the wavelet transform generally becomes a two-dimensional map. For example, if the horizontal axis indicates time and the vertical axis indicates the magnitude of scale conversion, it will be possible to obtain information such as that finer or coarser scale vibrations occur at a certain time with respect to the basic wavelet. Can be. The actual wavelet selection is
Although conditions to be satisfied may be given depending on the convenience of calculation, basically, a waveform that shows a strong correlation with the characteristics of the signal waveform to be measured may be selected.

In the embodiment of the present invention, when the method based on the wavelet transform is used, the wavelet is selected based on the signal 106a. Can be captured in detail. Also, the signal 106b
The characteristic scale and time of the signal generated for each remarkable body motion mode can be selected based on Can be.

FIG. 6 is a diagram for explaining an example of a signal waveform characteristic of the body motion mode. The example shown in FIG.
Is an example of a signal when a one-axis acceleration sensor is used, and it is assumed that the sensor has a significant sensitivity centering on a direction perpendicular to the ground.

FIG. 6A shows an example in which a person stands up from a chair, and FIG. 6B shows an example in which a person sits in a chair. When a person stands up from a chair, a signal waveform in which the first speed change, a short constant speed motion, and the last speed change are combined is obtained. When a person sits on a chair, the direction of the speed change is reversed, and a superimposition of a fine shock vibration waveform accompanying seating is obtained. To extract the body motion mode of standing from a chair, for example, see FIG.
The waveform shown in (a) may be used as a wavelet. Actually, the amplitude of the obtained waveform is not always constant, and changes in the time scale of sitting early and sitting slowly are also expected.However, the wavelet transform enables temporal correlation evaluation including scale transform. Therefore, it is possible to know at which point the same body motion mode has occurred without being affected by the speed of the operation. Similarly, in order to extract a body motion mode of sitting on a chair, basically, a similar correlation can be obtained by using a wavelet whose sign is opposite to that of the above basic wavelet. In addition, the vibration associated with sitting appears on a fine scale obtained by compressing the basic wavelet on the time axis, so that if the correlations of the different scale areas are taken together, the distinction from the similar body motion mode can be made clearer . Specifically, there is a significant correlation corresponding to the action of “sit / squat” on a large scale, and a significant correlation equivalent to “seating vibration” even on a fine scale at the time of the correlation (particularly in the latter half). For example, the mode of "sit on a chair" can be specified from the possible body motion modes. In the example shown in FIG. 6, for the sake of simplicity, it has been described that a uniaxial acceleration sensor is used. However, the same method can be applied to more complicated signal waveforms.

FIG. 7 is a block diagram showing the configuration of a body motion sensing system according to the second embodiment of the present invention. 7, 1a, 1b, 1c,... Are information detecting means, 11 is a signal synthesizing means, and other reference numerals are the same as those in FIG.

The second embodiment of the present invention shown in FIG. 7 is based on the premise that a plurality of information detecting means 1a, 1b, 1c,... Are used. When one sensor having a significant sensitivity to a plurality of degrees of freedom as described with reference to FIG. 2 is used as the information detecting means, a signal from this sensor becomes
Since a signal that can be described by one signal waveform can be obtained while including information corresponding to these degrees of freedom, information on each body motion mode is extracted from the obtained signal waveform by correlation evaluation or the like. it can. On the other hand, when a plurality of information detecting means are used, it is necessary to perform a correlation evaluation on each signal, so that the burden of signal processing increases. However, on the other hand, there is actually a demand to use a plurality of existing sensors in combination.

The second embodiment of the present invention satisfies such a demand, and is obtained from a plurality of information detecting means 1a, 1b, 1c,... As shown in FIG. The signal thus synthesized is used by being superimposed on one signal in advance by the signal synthesizing means 11. Since the signal to be processed becomes one by superimposing the signal, the scale of the signal processing does not increase in accordance with the number of the information detecting means. Also, by using correlation evaluation for signal processing, necessary information can be extracted later from the superimposed signal, so that necessary information before superimposition can be prevented from being lost. In addition, the second embodiment of the present invention, as apparent from FIG.
After the detection signal 101 is obtained by signal superposition, the same signal processing as that in the first embodiment of the present invention described above can be performed. The same system configuration can be adopted.

The signal superimposing means 11 simply adds the signals obtained from the individual information detecting means 1a, 1b, 1c,..., And normalizes and outputs the amplitude maximum value after the addition. The weight may be different, and different weights may be assigned to each information detecting means at the time of addition. Also,
Instead of adding the signals as they are, the addition may be performed using a decibel value, that is, the logarithmic value of each signal may be added. Further, the signals may be added after performing arbitrary function conversion. More generally, the output 101 may be determined in the form of a multivariable function using the value of each signal as an argument. Specifically, not only the output is determined by the arithmetic processing but also an arbitrary value may be sequentially output by referring to the map. As a method of superimposing signals by the signal superimposing means 11, various synthesizing methods can be adopted according to a scale allowed for signal processing. By devising the method of combining, there is a case where combining can be performed so as to emphasize a change in signal.

The signal processing means 3 may take out some of the signals without superimposing them and use them for signal processing, if necessary, if the signal processing load has a margin. An example will be described. The information detecting means 1a, 1b, and 1c are respectively x, y,
It is assumed that the acceleration sensor has sensitivity in the z-axis direction. The signal synthesis means 11 calculates the sum of the squares of the outputs, takes the square root of the sum, and calculates the magnitude of the acceleration vector. In addition, if the signal synthesis means 11 calculates the direction cosine of the vector by another signal processing (not shown), the direction of the acceleration vector can be obtained. The signal processing means 3 uses only the magnitude of the vector output from the signal synthesizing means 11 for relatively coarse precision of body motion detection. The information on the direction of the vector can be appropriately referred to. By adopting such a method, the second embodiment of the present invention can perform fine signal processing only on necessary portions while reducing the burden of most signal processing. It becomes possible to do. In addition, as the above-mentioned reference information, not only information on the direction of the vector but also various information such as a rotational angular velocity can be combined.

FIG. 8 is a block diagram showing the configuration of a body motion sensing system according to the third embodiment of the present invention. 8, 36 is a mounting position self-determination processing unit, 37 is a reference body motion mode detection processing unit, 38 is a selection / collation processing unit, 3
Reference numeral 9 denotes a determination / output processing unit, and the other reference numerals are the same as those in FIG.

In the first and second embodiments of the present invention described above, the mounting position information to be input to the information input section 21 of the information input means 2 has been described as being manually input. In general, it is difficult for a portable body motion sensing system to determine which part of the body is mounted or in a bag, and it is desirable that the user himself / herself select the body movement sensing system. However, for example, it is also conceivable that the device initially selected to be put in the breast pocket is kept in the bag and kept used. In such a case, if the position information can be automatically set, usability can be improved.

According to the third embodiment of the present invention, the position information can be automatically set. As shown in FIG.
Is provided. The mounting position self-determination processing unit 36 includes a basic body motion mode detection processing unit 37 that detects a reference body motion mode, a selection / collation processing unit 38 that sequentially selects information previously stored in the database 35 and performs collation. As a result, the current system mounting position is determined. If the result does not match the mounting position information stored in the storage unit 23, the output signal 110 for changing the contents of the storage unit 23 is output.
And a judgment / output processing unit 39 for sending the data. Here, the reference body motion mode is a relatively reproducible body motion mode that occurs relatively frequently in the activity of the target person.
For example, it is in a walking state. The database 35 stores reference body motion mode data when the body motion sensing system is carried at a representative position. When the reference body motion mode detection processing section 37 detects the reference body motion mode during the operation of the system, the selection / collation processing section 38 refers to the above-described reference body motion mode data and generates data corresponding to each mounting position. The magnitude of the correlation is evaluated. As a result, the determination / output processing unit 39 estimates the current carrying position with the mounting position having a significant intensity with respect to the noise level and having the largest correlation. As a matter of course, if the correct information is always input to the position information input means 2, the result of the determination / output processing unit 39 matches the contents stored in the storage means 23. But here, if they are different,
The determination / output processing unit 39 determines that the input information is different,
The content of the storage means 23 is changed to the content estimated to be correct.

The process of self-determination of the mounting position as described above may be performed every time the reference detection mode is detected, or may be performed every fixed number of times of detection. Alternatively, the process of self-determination of the mounting position may be automatically executed when a large vibration corresponding to replacement of the device is detected. The change 110 of the storage content by the determination / output processing unit 39 may be performed each time the above-described mismatch is detected, or may be performed every fixed number of times of detection. If the most probable mounting position information is input to the storage unit 23 before the operation of the apparatus, the manual input from the position information input unit 2 can be completely avoided by using the above-described method. The system may be operated while self-correcting the information. In this case, the learning function may be combined so that more accurate position information is input to the storage unit 23 for each operation. In addition, as the reference body motion mode detection processing unit 37, a normal body motion mode detection processing unit itself can be used. Also, as a result of detecting the normal body motion mode,
When it is determined to be the reference body motion mode, the above-described self-determination of the mounting position may be performed every predetermined number of times of detection.

FIG. 9 is a block diagram showing a configuration of a body motion sensing system according to a fourth embodiment of the present invention. 9, reference numeral 8 denotes an auxiliary information detecting device, 81 denotes a biological information detecting unit, 82 denotes a biological information processing unit, 83 denotes a display / communication unit, 84 denotes a power supply unit, and other symbols are the same as those in FIG. It is.

In each of the embodiments of the present invention described above, the information detecting means 1, the signal processing means 3, and the position information input means 2 for inputting the mounting position information of the information detecting means 1 are arranged at substantially the same position. The portable device 7 is integrally mounted on the portable device 7. However, for example, when trying to apply the portable device 7 to a system related to health management, there is a demand to detect not only body movements but also various biological information correlated with the body movements. For example, the physiological state of the body can be known in detail by simultaneously measuring the pulse, blood pressure, electrocardiogram, body temperature, gas components related to respiration, and the like. These detections can not be performed anywhere in the human body.For example, it is necessary to provide a detection unit at a position where a pulse can be taken in the case of a pulse and a position where the gas related to respiration touches if it is a component of gas related to respiration. There is. The fourth embodiment of the present invention shown in FIG. 9 is an example in which another auxiliary information detecting device 8 for this purpose is provided in addition to the portable device 7 so that biological information can be detected. is there. In the example shown in FIG. 9, the auxiliary information detection device 8 is configured as a wristwatch-like form that can be mounted on an arm. Note that the shape of the auxiliary information detection device 8 is not limited to this.

The auxiliary information detecting device 8 comprises a biological information detecting means 81 and a biological information signal processing means 8 for processing the detection signal 111 detected by the biological information detecting means 81.
2, a display / communication unit 83 for performing display / communication relating to input / output of an output signal 112 after processing from the biological information signal processing unit 82 and a reference signal 113 for signal processing, and a power supply unit 84. You. As in the case described with reference to FIG. 1, the power supply unit 84 can receive power supplied from the outside via the display / communication unit 83 as the power supply power 202. The display / communication means 83 may have a display means for displaying an output result as the name implies. The device 8 shown in FIG. 9 has a display unit as schematically shown.

The biological information detecting means 81 includes a pressure detecting means for detecting a pulse and a blood pressure, an electrode means for detecting an electrocardiogram, and a thermopile and a thermocouple for detecting a body temperature. The temperature detecting means such as an infrared sensor can be constituted by using a gas detecting means such as a carbon dioxide sensor if a component analysis of gas relating to respiration is performed. FIG. 9 collectively shows the biological information detecting means as a biological information detecting means 81.
Further, the biological information detecting means 81 measures the pulse on the wrist using a wristwatch-like device, and at the same time, detects gas related to breathing using a necklace-like device. A plurality of detecting means may be provided. When detecting a plurality of pieces of biological information, which biological information is to be detected may be selected based on an external reference signal 113. In this case, the information requested by communication from the portable device 7 or from outside the portable device 7 via the portable device 7 can be output again by communication for each device.

The signal processing means 82 extracts further necessary information from the output signal of the lower biological information detecting means 81. The required information is a change in pulse rate or blood pressure per unit time if a pulse or blood pressure is detected or a digital value obtained by A / D conversion of the change. Is a digital value obtained by A / D conversion of the temperature. If the body temperature is to be detected, the temperature value is calculated based on the thermopile, the electromotive force of a thermocouple and the output of an infrared sensor. If so, it may be the concentration of carbon dioxide, a digital value obtained by A / D conversion of the concentration, or the number of breaths obtained from a periodic change in the concentration.

The display / communication means 83 includes a signal processing means 82
Is transmitted to the portable device 7 in a wired or wireless form. The display / communication means 83, on the contrary,
It is also possible to obtain body movement information of the portable device 7 and information obtained from outside the portable device 7 via the display / communication means 4 of the portable device 7. Since the body motion information and the biological information have a correlation with each other, the signal processing performed by the signal processing unit 82 of the auxiliary information detection device 8 and the signal processing performed by the signal processing unit 3 of the portable device 7 are linked to each other to generate a signal. It can also be processed. For example, if the number of times of pulse and breathing increases even in the same bending and stretching exercise, it can be understood that a heavy exercise such as lifting a heavy load on a shelf is performed. Furthermore, third information that assists in signal processing can be obtained from outside and used for signal processing. The third information is, for example, information as to where the person to be measured is. If there is a person in the library who is carrying out a heavy exercise such as lifting a load on a shelf as described above, It can be understood that the bookshelves are being arranged, and in particular, it can be estimated that bookshelves for heavy books such as dictionaries and already bound papers are being arranged.
You can see that it will not be in the corner of the new magazine. Furthermore, if it is merely a repetition of bending and stretching movements, it can be assumed that the bookcase being arranged is not so high that it is necessary to climb using a ladder.

The auxiliary information detecting device 8 serving as the auxiliary information detecting means is not limited to the biological information as described above, and may detect body movement in the same manner as the portable device 7. For example, the device 8 may be attached to the arm to detect the motion of the arm, and the portable device 7 may analyze the details of the body motion while referring to the result. In the body movement sensing system according to the embodiment of the present invention, the mobile device 7 includes the mounting position input unit 2 and a processing unit that performs signal processing based on the mounting position input unit 2. Although body movement information can be obtained, more detailed or more reliable body movement information can be extracted by combining information obtained from the auxiliary information detection device 8 at a fixed position.

The communication of information between the device 7 and the device 8 can be carried out in a wired or wireless form. In particular, as shown in FIG. This is preferable because the body movement is not limited. In this case, it is sufficient that the communication range can be very close to each other, for example, between the arm and the waist of a person, and it is not necessary to consume a large amount of power for the communication. Various types of information can be targeted as communicable information. In particular, frequency information that can be described by the number of events that occur within a certain time interval, such as respiratory rate, heart rate, body movement rate, etc., has a property that is strong against noise as the form of the information. Suitable as. For example, in a case where a change in body temperature is continuously measured, if the detected voltage signal is disturbed by noise during detection or communication, information on the resulting body temperature also changes.
On the other hand, if the number of peaks per unit time does not change even if the voltage signal is disturbed by noise, correct frequency information can be obtained. Can communicate. On the other hand, it is desirable that analog information such as the body temperature information be converted in advance from a voltage signal into a temperature and then communicated as digital data.

FIG. 10 is a diagram for explaining the integration of elements of the portable device 7. This will be described below. FIG.
At 0, reference numeral 41 denotes display means, reference numeral 42 denotes communication means, reference numeral 68 denotes an integrated element, and other reference numerals are the same as those in FIG.

The portable device 7 or the auxiliary information detecting device 8 described in the above embodiments of the present invention is desirably a small device having portability, and its internal functions are integrated into one chip. Thereby, a more compact mounting can be realized. The example shown in FIG. 10 illustrates an internal configuration when the basic functions of the mobile device 7 are integrated. The same applies to the device 8.

In the example shown in FIG. 10, as shown by hatching, the information detecting means 1, the signal processing means 3, the communication means (I / O) 42, and the position information control unit 22 are formed on a silicon substrate. It is assumed that it is integrated in As described with reference to FIG. 2, a sensor provided by applying a semiconductor process technology on a silicon substrate can be used as the information detecting means 1. The structure of the sensor such as a diaphragm can be formed by stacking polycrystalline silicon, and the electrodes and wiring portions can be formed by providing a pattern of aluminum or the like. The electrical insulation can be formed using a silicon oxide film or a nitride film. A hollow structure can be obtained by depositing a layer called a sacrificial layer such as an oxide once, stacking polycrystalline silicon, and then removing the sacrificial layer by etching. By using such a surface micromachine technology, a gas sensor or the like can be formed on-chip by a combination with a temperature sensor or a functional material in addition to a pressure sensor, an acceleration sensor, and an angular velocity sensor. Others
The signal processing unit 3, the communication unit (I / O) 42, and the position information control unit 22 have the same configuration using a semiconductor process.
It can be configured by combining / D conversion means, storage means (ROM, RAM), analog circuits including protection circuits, digital circuits, and D / A conversion means. In this case, CM
Necessary circuits and memories can be configured based on the OS or BiCMOS process technology.

As described above, all of the functions of the sensor and the circuit can be configured on a silicon chip having a size of 3 mm-5 mm square and a thickness of about 0.5 mm, for example. Signal transmission with the outside may be performed by electrically connecting an electrode pad provided around the chip to an external electrode terminal by, for example, a method such as wire bonding. The method of integration is not limited to the method of combining the silicon substrate and the semiconductor process as described above, but may be a method of integrating and mounting each functional element on a small circuit board. In this case, the position information input unit 21, the display unit 41, the power supply unit 5
And the like can be integrated and mounted on one substrate.
As described above, by using the integrated element 68 and the integrated substrate, the size of the device can be easily reduced, and the mass productivity can be improved by integrating the main components into one chip.

FIG. 11 is a diagram for explaining the configuration of a power generating element that can be used as a power supply unit. This will be described below. In FIG. 11, 50 is a silicon chip, 51 is a mass body, 52 is a supporting means (beam), 53a, 53b, 53
c and 53d are conductive parts, 54 is an electrode pad, 55 is a glass substrate, and 56 is a permanent magnet.

The power supply unit 5 of the portable device 7 and the power supply unit 8 of the device 8
For 4, a chargeable / dischargeable battery can be used. Also,
For these, as already explained,
The power supply may be supplied wirelessly.
On the other hand, some applications of the body motion sensing system have to be used in a maintenance-free state for a long time. For example, a device that is as small as possible and can be used for a long period of time is desirable when observing the ecological behavior of animals. In such a case, a power generation function may be provided in the body motion sensing system. There are two types of energy sources that generate electricity, such as those that use external energy such as solar cells, those that use the temperature difference between body temperature and outside air, and those that use the vibration energy of body movement itself. Some energy is recovered and used. FIG.
Is a type that recovers the vibration energy of body motion, and in particular, is a small power generation system that can be a power source in the future if a very small and low power consumption body motion sensing system is made. For easy understanding, FIG. 11 shows a state of being independently mounted on a package. However, as described below, since it can be basically configured by processing a silicon substrate, It can also be implemented as a part of the integrated device described in FIG.

In the example shown in FIG. 11, a mass body (movable part) 51 obtained by processing a silicon chip on a silicon chip 50 cut out from a silicon substrate and a movable part is similarly supported by a part of the silicon chip. Support means (beam) 52
And a permanent magnet 56 is provided below the mass body (movable part) 51.
Is provided. The movable portion 51 includes a conductive portion 53a,
53b, 53c and 53d are provided. In the above,
When vibration accompanying body movement is applied to the mass body 51 supported by the support means (beam) 52, the mass body 5
1 starts to vibrate. This vibration is caused by the supporting means 5 as a beam.
2 depends on the mechanical vibration characteristics. For example, if the width of the beam is reduced and the length of the beam is increased, the rigidity of the beam decreases, and the beam becomes a soft spring, so that the resonance frequency decreases. Conversely, if the width of the beam is increased and the length of the beam is reduced, the rigidity of the beam is increased and a rigid spring is provided, and the resonance frequency is increased. That is, mechanical vibration characteristics can be controlled by the design of the support means 52.

Here, in the mode in which the frequency of occurrence is the highest among the modes of the body movement to be measured by the body movement sensing system, the peak of the vibration frequency of the body movement applied to the power generation means and the above-mentioned movable section The vibration of the mass body 51 can be excited in a normal use environment of the body motion sensing system if the mechanical resonance frequency is made to match. The mass body 51 vibrates in the magnetic field generated by the permanent magnet 55 as the magnetic field generating means. Conductive portions 53a, 5 made of aluminum or the like patterned on the surface of the mass body 51;
3b, 53c, 53d oscillate across the magnetic field, resulting in conductive portions 53a, 53b, 53d.
An AC voltage is induced in c and 53d with the vibration.
In FIG. 11, these are indicated by V1 and V2. V1
Represents the electromotive force induced by the vibration of the mass body 51 in the vertical direction in the figure, and V2 represents the electromotive force induced by the vibration of the mass body 51 in the horizontal direction of the figure. After the rectification, the electromotive forces V1 and V2 can be stored in a capacitor, a chargeable / dischargeable battery, or the like, and can be used as a power supply or an auxiliary power supply for the system. An electrical signal (power) can be easily taken out by making an electrical connection to the outside via the electrode pad 54.

In the silicon chip 50 described above, an oxide film or a nitride film as an insulating layer is formed on a silicon wafer as a silicon substrate, and electrodes, conductive portions and wiring patterns made of aluminum or the like are formed thereon. After a protective film such as a nitride film is formed on the silicon substrate, the silicon substrate can be manufactured by using the pattern of the protective film as a mask and leaving a beam and a mass body serving as silicon support means through the silicon substrate. Penetration processing is performed, for example, by ICP-RIE (Inductively
Anisotropic silicon processing such as Coupled Plasma-Reactive Ion Etching) can be used. Since the processed silicon substrate is easily broken as it is, for example, a glass substrate 55 such as a glass wafer may be bonded to the surface opposite to the processed surface. For this bonding, for example, a bonding method of glass and silicon known as anodic bonding can be used. At this time, it is preferable that a substantial portion of the glass substrate is subjected to processing such as making a hole so as not to hinder the movement of the silicon movable portion 52. Silicon chip 5
No. 0 is formed as an individual chip by cutting out a glass substrate by dicing from an anodically bonded wafer. For example, a glass substrate 5
5 can be fixed in a magnetic field by a method such as bonding a permanent magnet 56 to the back surface. Various kinds of permanent magnets can be used. For example, when a neodymium-based magnet or a samarium-based magnet is used, a strong magnet can be obtained with a small magnet.

The power generating element described above utilizes only two-degree-of-freedom vibration as an excitation source.
Can be incorporated into the integrated device described in
A functional element having a power generation function can be provided.

FIG. 12 is a block diagram showing the configuration of a health management system or work management system as an application example of the present invention. 12, 7a, 7b, 7c,...
Denotes a portable device, 9 denotes a base station, 91 denotes a communication unit, 92 denotes an index conversion processing unit, 93 denotes a database, 94 denotes an analysis / evaluation processing unit, 95 denotes a display / communication unit, and 96 denotes a power supply unit.

In the application example shown in FIG. 12, the base station 9 receives information transmitted wirelessly from the portable device 7 as the portable body motion sensing system according to the embodiment of the present invention described above. This is an example in which it is possible to carry out signal processing, and as a result, to carry out health management or work management. Of course, health management or work management can all be performed in the body motion sensing system 7. This system is suitable for a personal health management system and the like.

The application example shown in FIG. 12 is a configuration in which a single base station 9 manages portable devices 7a, 7b, 7c,... Carried by a plurality of objects, respectively. Can be managed at once. FIG. 12 shows only the basic configuration of the system. For example, an information management part for storing data for each ID code corresponding to each person and managing a file is not explained. The illustration is omitted for ease of illustration.

The base station 9 includes a communication unit 91 for the base station 9 to input and output information to and from the outside, and an index for converting body motion information obtained by communication into information suitable for the purpose such as health management and work management. A conversion processing unit 92, a database 93 required for index conversion, an analysis / evaluation processing unit 94 for performing analysis / evaluation based on the converted index, and displaying the result or communicating with another external device. It comprises a display / communication means 95 for outputting and a power supply section 96 for operating the base station 9. The communication means 91 is an external device, which is a portable device 7a, 7b attached to the body of the administrator.
The information 114 such as the body motion taken in from 7c,. The index conversion processing unit 92 refers to the database 93 for index conversion, and
15 and analyze the output information 116 after the index conversion.
It is passed to the evaluation processing section 94 and the display / communication means 95. analysis·
The evaluation processing unit 94 outputs the output information 117 after the analysis and evaluation.
To the display / communication means 95. The power supply unit 96 includes the base station 9
When supplying power to each of the internal devices and supplying power in a wired or wireless manner to each of the plurality of external portable devices 7a, 7b, 7c,... To the communication means 91.

The information sent from each of the plurality of external portable devices 7a, 7b, 7c,... To the base station 9 is based on what kind of body motion mode the object is currently in, It is body motion information indicating whether it is impossible. Each of the mobile devices 7a, 7b, 7c,.
The communication information to is, for example, body motion information stored at that time or for a fixed time in response to a request from the base station 9. The communication ends in response to the request. Further, the body motion information may be transmitted from the portable devices 7a, 7b, 7c,... Together with the ID at predetermined time intervals, and further, other control codes may be transmitted simultaneously. .

The body movement information 114 acquired by the communication means 91
Is, for example, “2” in which the body motion mode is “1”.
Is coded, or the content that is indistinguishable. Index conversion processing unit 92
Associates a specific index value stored in the database 93 with each coded body motion mode.
Here, the value of the index is set according to the purpose of the system to which the body motion sensing system is applied. For example, if the purpose of the system is health management, it is possible to know how to move muscles in accordance with each body motion mode. In addition, the amount of energy consumption according to the body motion mode is known. The analysis / evaluation processing unit 94 can calculate the calorie consumption by summing up the energy consumption using the result of the conversion in the index conversion processing unit 92.

In the above description, the correlation between the appearance of each body motion mode and the incidence of a specific disease is found, and the risk of disease occurrence and the degree of prevention based on the correlation are provided in the database 93 as indices. Good. In this case, if an exercise item contributing to health promotion is set to a positive value, and a case where health may be impaired is set to a negative value, the analysis / evaluation processing unit 94 sums up the index values to calculate the health degree as a numerical value. Can be expressed in a typical way. In this case, a larger value indicates a healthier state (a state in which the incidence of disease is lower). Excessive exercise in the same exercise may even impair health. In such a case, the analysis / evaluation processing unit 94 estimates the total exercise time, instead of simply adding the index value,
A process of correcting the output 117 in consideration of the result can also be performed.

On the other hand, if the purpose of the system is work management, for example, by assigning the work load as an index in the database 93 for each body movement mode, work with a large load can be performed even during the same hour of work. You can determine whether you are doing light work. analysis·
The evaluation processing unit 94 can total the work load of each person, for example, by totaling the index values. When a large load of work is concentrated on a specific person, the efficiency of the entire work may decrease. For example, the analysis / evaluation processing unit 94 may add index values and totalize the work load of each person. Such a situation can also be determined. The result of the aggregation is transferred from the display / communication means 95 to an external management system (not shown), for example.

This management system includes an analysis / evaluation processing unit 9
It is possible to perform work management such as reviewing an appropriate work distribution based on the work load of each person calculated in 4. of course,
In some cases, repetition of the same work to some extent may improve work efficiency. In this case, the analysis / evaluation processing unit 94 estimates the total exercise time and adds the index value to the output 11 in consideration of the result.
7 can be corrected. Also,
By setting the index value in the database 93 to “1” and the other values to “0” for the specific dangerous work, the analysis / evaluation processing unit 94 allows the index / output unit 92 to obtain the index obtained as a result of the processing in the index conversion stage 92. When the value is “1”, the above management system can be prompted to promptly warn the worker that there is danger. The warning method is, for example, not only to emit a warning sound, but also to instruct a worker to send an audible message to one of the portable devices 7a, 7b, 7c,. The message may be played from a speaker integrated with the device. In this case, the speaker can be regarded as an example of the display unit in the display / communication unit 4 in FIG.

In the example shown in FIG. 12 described above, the relationship between each body motion mode and the index value for each object is stored and used in the database 93, but is used as gesture recognition instead of each body motion mode. A specific index may be assigned to a series of operations, for example, when the body motion modes “1”, “2”, and “3” occur successively.

Also, among the body motion modes that should appear uniformly, the bias is extracted as a change in statistical characteristics, such as the frequency of occurrence of a particularly limited body motion mode, and the health state and the work state are extracted. You may make it possible to grasp | ascertain. In the case where a load is applied to only one leg even during the same walking, information relating to health management and work safety, such as a malfunction in the body or a specific work not being performed in a correct manner, can be extracted.

The health management system or the work management system as an application example of the present invention can perform more detailed management by using the auxiliary information detecting unit as described with reference to FIG. For example, in a health care system, if changes in pulse are detected in parallel, it becomes easy to quantify the intensity of exercise. Further, in the work management system, for example, in the case of work at a high altitude where air is thin, the work state can be managed while monitoring the health state of the worker.

The indistinguishable section shown in the database 93 of FIG. 12 is an area where a specific body movement mode cannot be determined. The average energy consumption in the body motion other than the movement mode may be used as the index value. By assigning it as an index value, it is possible to extract significant information even in a section where the body motion mode cannot be specified.

When considering an actual system application, the body motion mode to be noticed generally differs for each application. For this reason, as the database 93, only a particularly noticeable body motion mode is extracted and provided as an index value. If so, the size of the database can be reduced. After a series of operations, the index value corresponding to each body motion mode may be changed in real time, such as changing the index value corresponding to the indistinguishable state.

The health management system and the work management system as application examples of the present invention have been described with reference to FIG.
The application of the body motion sensing system according to the present invention is not limited to these. For example, the present invention can be applied to systems other than humans, such as observing animal ecology and driving state of a car. .

Although the body motion judgment in the embodiment of the body motion sensing system according to the present invention has been described centering on the correlation evaluation with reference data, the present invention adds a learning function as needed. Advanced judgment processing such as performing judgment processing using a neural network can also be employed.

According to the body motion sensing system according to each of the embodiments of the present invention described above, a manual or automatic input is made to a conventional system that focuses only on the motion near the center of gravity of the body, or the system is already input. By performing signal processing based on the stored mounting position information of the information detecting means, it is possible to grasp the fine movement of each part of the human body while capturing the body movement at one location. Here, the fine movement refers to not only movement near the center of gravity of the body but also movement including a body movement mode with little change in the center of gravity, such as waving a hand or bending a neck. As the signal processing for that purpose, for example, a database set may be selected based on the mounting position information described above.

Further, the body movement sensing system according to each embodiment of the present invention comprises an information detecting means, a signal processing means,
By integrally mounting the position information input means for inputting the mounting position information of the information detecting means at substantially the same position, the function can be improved without affecting the portability of the system.

Further, the body movement sensing system according to each embodiment of the present invention performs signal processing after extracting the output signals of the information detecting means corresponding to a plurality of degrees of freedom in a software or hardware manner, in particular, Since the correlation evaluation with the known data is performed, the increase in the load required for signal processing can be suppressed even if the degree of freedom of the target measurement increases.

Further, the body movement sensing system according to each embodiment of the present invention supplies power necessary for the system in a wireless manner, or includes a self-power generation means in a part of the system, thereby providing a long-term operation. Battery replacement over time, eliminating the need for power wiring to the device,
The portability of the body motion sensing system can be improved.

In the body movement sensing system according to each embodiment of the present invention, the information detecting means and the signal processing means are integrated on a common silicon substrate, and a plurality of pieces of information are stored in one.
By using the information detecting means that can be superimposed and synthesized as one signal and output, it is easy to miniaturize the elements including the signal processing unit, and the apparatus can be mounted in a small size in an advantageous manner for carrying. .

Further, the body movement sensing system according to each embodiment of the present invention is provided with auxiliary information detecting means at a position different from the information detecting means, and a signal including the auxiliary information detecting means and the signal processing means. By performing wired or wireless information communication with the processing unit, body movement detection with a degree of freedom at the portable position of the system, and biological information such as pulse, blood pressure, and body temperature that should be measured at a specific position It is possible to achieve both detection of information.

Further, the health management system and the work management system using the body movement sensing system according to each embodiment of the present invention can capture the body movement that is hardly reflected on the center of gravity movement, and therefore, the energy accompanying the body movement can be captured. It is possible to grasp the consumption and the work state in detail, and to reflect the management on the health state and the work state.

[0112]

As described above, according to the present invention, the movement of each part of the human body can be grasped in detail by processing the signal while capturing the body movement at one place of the human body. Further, a work management system and a health management system can be provided by using the body movement sensing system according to the present invention.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration of a body motion sensing system according to a first embodiment of the present invention.

FIG. 2 is a diagram illustrating a configuration example of an information detection unit 1 provided in the first embodiment of the present invention.

FIG. 3 is a diagram illustrating an example of signal processing according to the first embodiment of the present invention.

FIG. 4 is a diagram illustrating an example of correlation evaluation in the frequency domain.

FIG. 5 is a diagram illustrating an example of correlation evaluation in a time domain.

FIG. 6 is a diagram illustrating an example of a signal waveform characteristic of a body motion mode.

FIG. 7 is a block diagram illustrating a configuration of a body motion sensing system according to a second embodiment of the present invention.

FIG. 8 is a block diagram illustrating a configuration of a body motion sensing system according to a third embodiment of the present invention.

FIG. 9 is a block diagram illustrating a configuration of a body motion sensing system according to a fourth embodiment of the present invention.

FIG. 10 is a diagram illustrating element integration of a portable device.

FIG. 11 is a diagram illustrating a configuration of a power generation element that can be used as a power supply unit.

FIG. 12 is a block diagram showing a configuration of a health management system or a work management system which is an application example of the present invention.

[Explanation of symbols]

 1, 1a, 1b, 1c Information detection means 2 Position information input means 3 Signal processing means 4, 83 Display / communication means 5, 84 Power supply unit 7, 7a, 7b, 7c Portable device 8 Auxiliary information detection device 9 Base station 11 Signal synthesizer 21 Position information input unit 22 Position information input unit 23 Storage unit 31 A / D conversion processing unit 32 Feature amount extraction processing unit 32a Correlation evaluation unit 32b Bias detection unit 33 Body motion determination processing unit 34 Database selection processing unit 35 Database Set 36 Mounting position self-determination processing section 37 Reference body motion mode detection processing section 38 Selection / collation processing section 39 Judgment / output processing section 41 Display means 42 Communication means 50 Silicon chip 51 Mass body 52 Support means (beam) 53a, 53b, 53c, 53d conductive part 54 electrode pad 55 glass substrate 56 permanent magnet 60 case 61a pressure Detecting means 61b Diaphragm 62 Silicon substrate 63 Signal converting means 64 Mass body 65 Deformed body 66 Connecting means 67 Connector 68 Integrated element 81 Biological information detecting means 82 Biological information processing means 91 Communication means 92 Index conversion processing unit 93 Database 94 Analysis / evaluation Processing unit 95 Display / communication means 96 Power supply unit

Continued on the front page (72) Inventor Satoshi Shimada 7-1-1, Omika-cho, Hitachi City, Ibaraki Prefecture Inside the Hitachi Research Laboratory, Hitachi, Ltd. (72) Inventor Hiroshi Masashima 7-1-1, Omika-cho, Hitachi City, Ibaraki Prefecture No. F-term in Hitachi Research Laboratory, Hitachi, Ltd. (reference) 4C038 VA11 VA12 VB01 VB15 VB31 VC20

Claims (24)

[Claims] 1. A portable body motion sensing system comprising at least one information detection unit and a signal processing unit for processing an output signal of the information detection unit to obtain body motion information, wherein the signal processing unit comprises: A body movement sensing system, which performs signal processing based on mounting position information of the information detecting means, which is manually or automatically input or already stored. 2. The apparatus according to claim 1, wherein said information detecting means, said signal processing means, and position information input means for providing mounting position information of said information detecting means are integrally mounted at substantially the same position. The body motion sensing system as described. 3. The signal processing by the signal processing means includes a processing means for extracting at least one feature quantity from an input signal, and a body movement based on the extracted feature quantity or an index value calculated based on the feature quantity. The at least one of the feature amount extraction processing unit and the body movement determination processing unit is configured to implement the information detection unit from a plurality of database sets provided in advance. Based on position information, at least one of the database sets to be referred to is selected and referred to, a feature amount extraction processing unit performs feature amount extraction, and a body movement determination processing unit performs body movement determination. The body movement sensing system according to claim 1 or 2, wherein 4. A body movement sensing system having at least one information detection unit and a signal processing unit for processing an output signal of the information detection unit to obtain body movement information, wherein one of the information detection units includes: A body movement sensing system, wherein one output signal is output with a predetermined detection sensitivity for each of a plurality of information independent of each other, and the signal processing means performs signal processing based on an output signal of the information detection means. 5. A body movement sensing system comprising: a plurality of information detection means; and a signal processing means for processing output signals of the plurality of information detection means to obtain body movement information, wherein each of the plurality of information detection means A body motion sensing system comprising: signal combining means for combining an output signal into one signal; wherein the signal processing means performs signal processing based on an output signal of the signal combining means. 6. A main part of signal processing by said signal processing means is a correlation evaluation between a signal waveform and at least one reference waveform set in advance, and in particular, is a wavelet transform. 6. The body motion sensing system according to any one of claims 5 to 5. 7. At least one information detecting means, a signal processing means for processing an output signal of the information detecting means to obtain body motion information, and a position information input means for providing mounting position information of the information detecting means. A main part of the signal processing by the signal processing means is a correlation evaluation between the signal waveform and at least one reference waveform set in advance, and particularly a wavelet transform. In a portable body movement sensing system for identifying a mode of movement (a characteristic type of body movement such as walking, running, moving a hand, bending over, and the like), based on mounting position information of the information detecting means, A body motion sensing system characterized by selecting a reference waveform. 8. A body according to claim 1, wherein a main part of the signal processing by said signal processing means is a signal processing in a frequency domain including a Fourier transform of the signal. Motion sensing system. 9. At least one information detecting means, a signal processing means for processing an output signal of the information detecting means to obtain body movement information, and a position information input means for providing mounting position information of the information detecting means. The main part of the signal processing by the signal processing means is signal processing in a frequency domain including Fourier transform of the signal, and extracts signal strength in at least one frequency domain provided in advance by the signal processing. Judgment of the signal strength and the mode of body movement (walking, running,
In a portable body movement sensing system that identifies the characteristic types of body movements such as moving hands, bending over, etc.,
A body motion sensing system, wherein the frequency domain is selected based on mounting position information of the information detecting means. 10. An auxiliary information detecting means is provided at a position different from the information detecting means, and information detected by the auxiliary information detecting means is transmitted to the signal processing means by a wired or wireless signal. The body movement sensing system according to any one of claims 1 to 5, wherein: 11. The body movement sensing system according to claim 1, further comprising a self-power generation unit. 12. A portable body motion sensing system having at least one information detecting means and a signal processing means for processing an output signal of the information detecting means to obtain body motion information, wherein the information detecting means and the A body movement sensing system, wherein a signal processing unit and a signal processing unit are integrated on a common silicon substrate. 13. A portable body motion sensing system having at least one information detecting means and a signal processing means for processing an output signal of the information detecting means to obtain body motion information, wherein the information detecting means is Auxiliary information detecting means are provided at different positions, and wireless information communication is performed between an auxiliary information detecting unit including the auxiliary information detecting means and a signal processing unit including the signal processing means. Body motion sensing system. 14. The auxiliary information detecting means includes frequency information relating to a living body (information that can be described by the number of events occurring within a certain time interval, such as a respiratory rate, a heart rate, and a body movement rate).
14. The body movement sensing system according to claim 13, wherein the body movement sensing system detects the body movement. 15. A portable body motion sensing system having at least one information detection unit and a signal processing unit for processing an output signal of the information detection unit to obtain body motion information, wherein power is supplied to the system. A body movement sensing system, wherein the body movement is implemented in a wireless manner. 16. A portable body movement sensing system having at least one information detection unit and a signal processing unit for processing an output signal of the information detection unit to obtain body movement information. A body motion sensing system that estimates a situation where an object is placed, and switches a communication mode with the outside to a communication mode determined by classifying conditions for communication with the outside based on the estimation result. 17. The mass body comprising at least one pressure detecting means, a deformed body laminated on an upper portion including a pressure detecting surface of the pressure detecting means, and a mass body provided in contact with the deformable body. A body motion detecting device for detecting vibration of the body as a change in pressure or stress inside the deformable body. 18. The apparatus according to claim 17, wherein said pressure detecting means is a pressure sensor provided on a silicon substrate.
The body movement detecting device according to claim 1. 19. The apparatus according to claim 17, wherein the deformable body is a silicone gel. 20. Passing through a center or a center of gravity of the mass body,
An axis orthogonal to the pressure detection surface of the pressure detection means and an axis passing through a center or a center of gravity of the pressure detection surface of the pressure detection means and orthogonal to the pressure detection surface do not overlap with each other. 18. The body motion detection device according to claim 17. 21. A movable part provided on a silicon substrate, electrical wiring provided on the movable part, and magnetic field generating means for applying a magnetic field in a direction substantially perpendicular to the direction of the electrical wiring. Power generator. 22. A semiconductor device comprising: a movable portion provided on a silicon substrate; electrical wiring provided on the movable portion; and magnetic field generating means for applying a magnetic field in a direction substantially orthogonal to the direction of the electrical wiring. In a body motion sensing system having a power generation device, a peak value of a vibration frequency applied to the power generation device in a mode in which the frequency of occurrence is the highest among the body motion modes to be measured by the sensing system, A body motion sensing system characterized by matching a resonance frequency. 23. A health management system comprising the body movement sensing system according to any one of claims 1 to 16, 22. 24. A work management system comprising the body movement sensing system according to any one of claims 1 to 16, 22.