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User behavior and action detection and recognition method

A technology of motion detection and recognition methods, applied in character and pattern recognition, input/output of user/computer interaction, instruments, etc., can solve problems such as less consideration of practicality and popularization of applications, and achieve reduction of computational complexity and classification The effect of high accuracy and reduction of equipment cost

Active Publication Date: 2016-11-09
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0006] Nowadays, the continuous expansion of artificial intelligence research is mostly based on single or a small number of experimental objects for multi-sensing node detection, with less consideration of its practicability, promotion and application in non-laboratory situations

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  • User behavior and action detection and recognition method

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Embodiment Construction

[0034] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] Nowadays, the research on artificial intelligence continues to expand, but most of them are based on single or a small number of experimental subjects for multi-sensing node monitoring, and less consideration is given to its practicability, promotion and application in non-laboratory settings. For the application of multi-node, multi-monitored object simultaneous monitoring and behavior recognition, the effect of inertial sensors is better than other types of sensors, and there is no requirement for the user's environment. As for some special application fields, the user behavior detection and recognition method designed in the present invention is especially suitable for some special scenarios, such as public places and prison management systems. In terms of low power consumption, the method is based on wireless ...

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Abstract

The invention relates to a user behavior and action detection and recognition method. Data acquisition of three-dimensional accelerated speeds is achieved through a three-axis acceleration sensor, original data is filtered with a wavelet transformation filtering algorithm, and reliability is improved. On the basis, a data set is effectively optimized with the principle component analysis, four different pattern recognition classification algorithms and three kinds of classification model optimizing algorithm are compared at the same time, and an optimal parameter optimization algorithm and an optimal classifier are finally obtained, so that user behaviors and actions are detected and effectively recognized, and alarming is carried out on abnormal behaviors; besides, experiment results show that the method has the advantages of being high in accuracy, low in relative calculation complexity, high in real-time performance and the like.

Description

technical field [0001] The invention relates to a user behavior detection and recognition method, which belongs to the technical field of Wireless Body Area Networks (WBAN). Background technique [0002] The use of wearable devices to identify human activities is a current research hotspot. One or more wearable devices are used to monitor human body parts. The recognized behaviors mainly include daily activity recognition (basic actions such as standing up, walking, running or sitting down) Sports, fall monitoring in the elderly or medical conditions in infants and young children, etc. Wearable wireless sensor equipment is a new concept system based on mobile computing, which probably originated in the 1960s. Since the 1990s, with the development of science and technology, integrated circuits have developed rapidly on a large scale, which also indicates that the research on wearable devices has entered a new era. Wearable devices have a wide range of applications, and it c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06F3/0346G06K9/62
CPCG06F3/011G06F3/0346G06F18/24
Inventor 田峰刘薇陈建新周亮杨震
Owner NANJING UNIV OF POSTS & TELECOMM
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