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Calculation method of equivalent rom distance based on dtw cluster fuzzy grouping som neurons

A calculation method and neuron technology, applied in the field of effective distance calculation, can solve problems such as tracking, incapable of gesture recognition quantization criterion, angle change quantization processing, etc., to reduce hardware costs, speed up angle quantization processing, and improve cluster analysis efficiency Effect

Active Publication Date: 2021-03-26
EAST CHINA NORMAL UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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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.

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  • Calculation method of equivalent rom distance based on dtw cluster fuzzy grouping som neurons
  • Calculation method of equivalent rom distance based on dtw cluster fuzzy grouping som neurons
  • Calculation method of equivalent rom distance based on dtw cluster fuzzy grouping som neurons

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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 a method for calculating the equivalent distance of SOM neuron ROM based on DTW cluster fuzzy grouping, which establishes the data after the initial state Kalman filter algorithm quadratic Gaussian covariance white noise for the said feature vector, and obtains the data used for dynamic time The sample sequence of the regular algorithm; the sample sequence is converted into the amplitude of the X and Y axes of the acceleration signal acceleration amplitude SVM, and the SVM amplitude is divided into different communities using the fuzzy grouping neuron algorithm; combined with the above-mentioned SVM (x) and SVM ( y) The community values ​​of the two axes and the cluster center point and center of gravity corresponding to the relative community value; combined with the above cluster center of gravity and center, the ROM equivalent value calculation distance is obtained. The invention can find out the spatial deviation distances of different community sensors, and reduces the end-to-end body sensor path time.

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 Patents(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