Movement behavior recognition method based on axial acceleration sensor

An acceleration sensor, single-axis acceleration technology, applied in the field of information technology applications, can solve the problems of user discomfort, difficulty in analysis, low recognition rate, etc. Effect

Inactive Publication Date: 2013-09-18
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] Purpose of the invention: to solve the existing multi-sensor or multi-axis sensor-based motion behavior recognition method for multi-sensor data or

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  • Movement behavior recognition method based on axial acceleration sensor
  • Movement behavior recognition method based on axial acceleration sensor
  • Movement behavior recognition method based on axial acceleration sensor

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Embodiment Construction

[0035] The present invention mainly utilizes the uniaxial data of a single acceleration sensor to realize the effective distinction of human motion behaviors. Firstly, three kinds of motion behavior recognition trees of running, jumping and squatting are created. The recognition process is as follows: figure 1 shown. The value of the Y axis of the acceleration sensor is represented by y, and the unit is m / s 2 , the time interval between adjacent troughs and peaks is represented by △t, and the unit is s. Use the "if-then" form to express the classification rules and the order of the rules is as follows:

[0036] (1) If (5m / s 2 2 ) then (no action state);

[0037] (2) If (y>20m / s 2 ) and (the peak and trough cycle appears) and (△t<0.3s) and (the peak and trough that appears reaches the running threshold) then (run);

[0038] (3) If (y>20m / s 2 ) and (the peak and trough cycle appears) and (△t<0.3s) and (the peak and trough that appears does not reach the running threshold) ...

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Abstract

The invention provides a movement behavior recognition method based on an axial acceleration sensor. According to the existing movement behavior recognition method based on multiple sensors or multiple axial sensors, data of multiple sensors or data of multiple axial sensors are required to combine, accordingly high computing cost is resulted, cost is increased, and meanwhile, real-time recognition is reduced. The method includes adopting axial data information of one acceleration sensor, extracting human body features, particularly three feature values of threshold in front of the peak of wave, threshold in front of the trough of wave, and time interval between the peak of wave and the trough of wave, in movement by waveforms formed through comparing the axial data information acquired by the sensor, and realizing accurate recognition of movement behaviors like squat, jump, run and the like. By the aid of the method, high recognition accuracy is achieved, computing cost is reduced, real-time recognition is improved, and cost is reduced.

Description

technical field [0001] The invention belongs to the application field of information technology such as sensor technology and mobile computing. Background technique [0002] Human daily exercise behavior is closely related to human health indicators and energy balance. For example, personal energy consumption can be calculated by monitoring sports behaviors such as running and walking, which has positive significance in personal health exercise and body energy balance. In addition, through the identification of abnormal human motion behaviors (such as falls, etc.), it is possible to effectively provide timely rescue to individuals in dangerous situations. [0003] At present, commonly used methods to identify human motion behaviors include image analysis and sensor recognition. Among them, the human motion behavior recognition method based on image analysis has high cost, high requirements on the environment, and poor flexibility, and can only be recognized in a specific a...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 徐小龙张义龙王新珩李玲娟王慧健程翔龙邱国霞杨宝杰
Owner NANJING UNIV OF POSTS & TELECOMM
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