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Equivalent ROM distance calculation method based on DTW cluster fuzzy clustering SOM neuron

A calculation method and equivalent distance technology, applied in the field of effective distance calculation, can solve the problems of inability to identify quantitative criteria for attitude recognition, quantitative processing of angle changes, tracking, etc., to speed up the quantitative processing of angles, reduce hardware costs, and improve cluster analysis efficiency. Effect

Active Publication Date: 2018-03-06
EAST CHINA NORMAL UNIV +1
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Problems solved by technology

However, there is no quantification of angle changes, and it is impossible to quantify criteria and track gesture recognition.

Method used

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  • Equivalent ROM distance calculation method based on DTW cluster fuzzy clustering SOM neuron
  • Equivalent ROM distance calculation method based on DTW cluster fuzzy clustering SOM neuron
  • Equivalent ROM distance calculation method based on DTW cluster fuzzy clustering SOM neuron

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Embodiment Construction

[0030] In the present invention, the wireless network node data collection fuses the accelerometer and gyroscope sensor information. According to the collection of motion signals, the eigenvectors on each wristband are obtained and constructed, and the data obtained by the MEMs module is transmitted to the system. The present invention calculates the rotation matrix (roll, pitch and heading) on ​​the basis of the Euler angles, and through this rotation The matrix can be transformed to obtain acceleration data from a person.

[0031] The wristband sensor will process the data information after the acceleration sensor data processing for the first time, and quantify the data, which is realized by software and is feasible. According to the collected motion signals, the obtained information is processed through the polymorphic Kalman filter, and the movement of the upper limbs and wrists of the human body is detected according to the initially collected motion signals, and then th...

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Abstract

The invention discloses an equivalent range-of-motion (ROM) distance calculation method based on a dynamic-time-warping (DTW) cluster fuzzy clustering self-organizing-maps (SOM) neuron. A feature vector is established, the feature vector is processed by an initial-state Kalman filter algorithm to remove secondary Gaussian covariance white noises to obtain data, and then a sample sequence for a dynamic time warping algorithm is obtained; the sample sequence is transformed into X-axis and Y-axis amplitude values of an acceleration signal acceleration amplitude SVM and the SVM amplitude values are classified into different groups by using a fuzzy clustering neuron algorithm; the group values of the two axial directions of the SVM(x) and the SVM(y) are combined with group clustering centers and gravity centers corresponding to the group values relatively; and then an ROM equivalent value is obtained by combining the group clustering gravies and the centers and a distance is calculated. Therefore, spatial offset distances between different group sensors can be found out and the path time of the end-to-end posture sensor is reduced.

Description

technical field [0001] The invention relates to the technical fields of sensor information processing and gesture recognition, in particular to a ROM equivalent distance calculation method of fuzzy grouping SOM neurons based on dynamic time rounding. Background technique [0002] The smart bracelet has the characteristics of wearable, small size, multi-sensor, wireless transmission, etc. It can be abstracted into nodes for the human body perception network, that is, a limited wireless sensor network can be composed of two-handed bracelets or multiple wristband sensors. Through the wireless transmission module to transmit data in real time, the wireless sensor network combined with the neuron topology can dynamically monitor the mobility and rhythm of the network nodes to process the multi-dimensional posture perception information of the human body. Through the multi-body modeling of the acceleration sensor and angular velocity sensor of the wristband sensor, the establishme...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G01C21/12G01C21/20
CPCG06N3/088G01C21/12G01C21/20G06N3/043
Inventor 刘彦博徐文超杨艳琴高崇杰郭琳琳柳康
Owner EAST CHINA NORMAL UNIV
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