JPH0523409A - Analyzing device for motion - Google Patents

Abstract

PURPOSE:To appropriately select an implement, to decide an adjustment state, and to evaluate a motion technique by detecting the motion of the body or the implement connected to the body, calculating a correlation function of outputted irregular data, and analyzing and processing a motion characteristic of the body and the implement, based thereon. CONSTITUTION:A motion detector 1 consists of a singular sensor, or plural sensors of the same kind or different kinds, and for instance, in the case an angular velocity detecting sensor 5 is installed as the motion detector 1 for detecting the motion of the lower thigh part at the time of wearing shoes 4 and walking, a self-correlation function is calculated by inputting data of angular velocity waveforms caused by shoes by which it is easy to walk and shoes by which it is difficult to walk. It is inputted to a data processing part 5 and subjected to data processing, and since irregularity of the latter is large, it can be decided to be shoes by which it is difficult to walk. In such a way, it can be decided objectively in a short time to select appropriately a motion implement, its technical evaluation can be executed at the time when the motion is varied, and this device can be used for improving the training effect of the motion.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to determination of proper selection of tools such as walking sticks, shoes, golf clubs and the like used in daily activities such as walking and sports, and determination of adjustment conditions of artificial joints and artificial prostheses in medicine. The present invention relates to a motion analysis device capable of performing technical analysis of a motion state.

[0002]

2. Description of the Related Art In the conventional analysis of the movement characteristics of a body or a tool connected to the body, subjective judgment by experience or sensory test by a sensory test method is often used. Even when the motion detector of No. 1 is used, irregular data has been processed by methods such as averaging the values obtained by directly analyzing the output of the detector and classifying the output of similar tendency.

[0003]

The movements of the body or tools used by being connected to the body are not equal even in the repetitive movements of the same person, and the output from the movement detector becomes irregular data. Deterministic analysis is often difficult even with the use of a device, and there is a problem in that it often depends on subjective judgment according to individual cases.

Even if the magnitudes of landing impacts during running are compared in order to evaluate the cushioning performance due to the difference in the hardness of the shoe sole, it is often impossible to find a statistically significant difference. This is because a person unconsciously changes the way of running according to the hardness of the shoe sole, and there is a problem that it is difficult to select an appropriate tool even with a measuring device.

According to the present invention, in the state where the measured values of the motion of the body or the tool connected to the body are irregular data, and the human is trying to perform the optimum control according to the tool,
It is an object of the present invention to provide a device for objectively selecting an appropriate tool, determining the degree of adjustment of the tool, and evaluating exercise technique.

[0006]

In order to achieve the above object, in the present invention, the irregular data output from the motion detector is not directly analyzed but is embedded in the irregular data. The autocorrelation function, the cross-correlation function, or the partial correlation function from which the regularity is extracted is used as an analysis target.

When a human is trying to perform optimal control according to the equipment, the higher the degree of conformity of the equipment is, the easier the human is to control the movement, but conversely, the lower the degree of conformity is, the more difficult the control of movement is. Become. When the control becomes difficult, the variation of the control result with respect to the control target value becomes large, so that the irregularity in the output of the motion detector increases.

In general, the value of the correlation function tends to decrease as the lag time increases, but the tendency becomes larger as the irregularity of the data increases. By applying this property, it is possible to analyze the change in the controllability of the motion caused by the suitability of the selection of the tool and to appropriately select the tool.

Generally, as the proficiency of exercise progresses, stable regularity can be seen in the movement pattern of the essential parts of the technique, and the temporal order in which the regularity appears in the movement pattern of each part of the body is peculiar. The nature comes to be seen. By detecting and analyzing this regularity with a correlation function, the motion technique can be evaluated.

In motion analysis, it may be important to detect the acceleration or angular velocity of the body or equipment. In this case, a motion detector capable of detecting the angular velocity by analyzing the difference between the signals of the two acceleration sensors arranged at intervals so that the acceleration detection axes coincide with each other is detected along with the acceleration detection by the individual acceleration sensors. Can be done using.

In motion analysis, it may be important to detect a load applied to a body or equipment. The exercise in the standing position can be performed by using a motion detector according to a method of detecting from a motion on a force platform fixed to the floor or a method of detecting from a load sensor fixed to a shoe.

In motion analysis, it may be important to detect the length, bending, twisting, and other deformations of the body or equipment. In this case, it can be performed using a motion detector in which a strain gauge is attached to the body or equipment.

In motion analysis, it is sometimes important to detect displacement of a specific part of the body or equipment. In this case, a target that emits or reflects infrared rays can be attached to the specific part, and a motion detector adapted to measure with an infrared camera system equipped with a device that can calculate the coordinate values of the target can be used.

In the motion analysis, it may be important to detect the muscle output from the change in the myoelectric potential accompanying the motion. in this case,
It can be performed by using a motion detector which is a myoelectric potential measurement system using a needle electrode or a surface induction electrode.

[0015]

When the movement of the body or the tool connected to the body is analyzed by using the movement analysis device configured as described above, irregular data having a characteristic corresponding to the characteristic of the movement detector is detected. The correlation function of the data is calculated by the calculation unit, and the regularity buried in the irregular data is converted into the extracted data. This converted data is input to the data processing unit, and the characteristics of the target body or movement of the tool are analyzed.

[0016]

EXAMPLES Examples will be described with reference to the drawings.
In FIG. 1, a single motion detector 1 is included, and a plurality of motion detectors 1 are also included. The irregular data detected by the motion detector is converted into a correlation function by the correlation function calculator 2. This correlation function is converted by the data processing unit 3 into data corresponding to the purpose of evaluation of the movement of the body or the tool connected to the body.

FIG. 2 shows an embodiment in which an angular velocity detection sensor 5 is mounted as a motion detector for detecting the motion of the lower leg when walking while wearing the shoes 4. An example of walking according to this example will be described below.

FIG. 3 (a) shows the lower leg's angular velocity waveform 6 when walking with shoes that are easy to walk, and FIG. 3 (b) is the lower leg's angular velocity waveform 7 when walking with shoes that are difficult to walk.
From this waveform, it is difficult to determine which is easier to walk. Therefore, this data is input to the correlation function calculation unit 2 to calculate the autocorrelation function. In FIG. 4A, the autocorrelation function 8 of the angular velocity waveform 6 is shown. The output 10 of the data processing unit is an example in which this is input to the data processing unit 3 and data processing is performed. Similarly, FIG. 4B shows the angular velocity waveform 7
3 shows the autocorrelation function 9 and the output 11 of the data processing unit.
Since the output 11 is more attenuated than the output 10, the angular velocity waveform 7 indicates that irregularity is larger than the angular velocity waveform 6, and it is determined that the shoe is hard to walk.

[0019]

Since the present invention is constructed as described above, it has the following effects.

[0020] Appropriate selection of exercise equipment used in daily activities and sports can be objectively determined in a short time.

It is possible to judge the proper selection of exercise equipment corresponding to the current state of age, physical strength, and technical level.

It is possible to objectively judge the degree of adjustment of the artificial joint, artificial prosthesis and the like in medicine, not from the sense of the patient but from the analysis of movement.

Since the technical evaluation of the exercise can be made from the change tendency of the regularity when the exercise is changed, it can be used for enhancing the exercise effect of the exercise.

In a sensory test involving exercise, objective evaluation can be performed without using a questionnaire.

[Brief description of drawings]

FIG. 1 shows an embodiment of a block diagram of a motion analysis device.

FIG. 2 shows an embodiment in which shoes are worn and a motion detector is attached.

FIG. 3 is a diagram showing an example of motion detection data when walking according to the example of FIG.

FIG. 4 is a diagram showing an example in which motion detection data is processed by a correlation function calculation unit and a data processing unit.

[Explanation of symbols]

1 Motion Detector 2 Correlation Function Calculation Section 3 Data Processing Section 4 Shoes 5 Angular Velocity Detection Sensor 6 Angular Velocity Waveform of Lower Leg when Walking with Shoes that Are Easy to Walk 7 Angular Velocity Waveform of Lower Leg when Walking with Shoes That Are Hard to Walk 8 Autocorrelation of 6 Function 9 Autocorrelation function of angular velocity waveform 7 Output of data processing unit 11 Output of data processing unit

Claims (1)

Claim: What is claimed is: 1. A motion detector for detecting the motion of a body or a tool used in connection with the body, and a calculation for calculating a correlation function for irregular data output from the motion detector. An apparatus for analyzing movement, comprising: a section; and a data processing section that analyzes the characteristics of the movement of the body or equipment based on this correlation function.