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Posture recognition method for family elder monitoring

A recognition method and gesture technology, applied in the field of pattern recognition, can solve problems such as huge computational load, memory usage, and inability to judge, and achieve the effect of reducing memory usage and computing time

Inactive Publication Date: 2015-05-20
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

The first three technologies can perform pattern recognition on a single frame image (single time point) well, but cannot make judgments on a continuous action (time period); although HMM technology is suitable for real-time detection of multi-frame images, it requires Using the original feature clustering data directly, the training and recognition stages have huge calculation and memory usage

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  • Posture recognition method for family elder monitoring
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Embodiment Construction

[0014] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0015] The posture recognition method for family elderly monitoring based on multi-frame images of the present invention combines the K-means clustering recognition algorithm with a hidden Markov model, and the method includes the following steps:

[0016] Step A: In the training phase, first perform cluster analysis on the feature data of all video single frames of the same gesture and action, and then train the feature parameters of the action by the HMM forward-to-backward algorithm to obtain the HMM model parameters ( It specifically includes the initial state probability matrix π, the impli...

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Abstract

The invention discloses a posture recognition method for family elder monitoring. The posture recognition method comprises the following step: combining K-means cluster analysis and recognition with a hidden Markov model (HMM). According to the experimental results, the method realizes posture recognition for a multi-frame image on the premise of reducing the calculated amount and memory usage; moreover, the running time is reduced by nearly three times relative to single-frame recognition, and reduced by nearly twice relative to direct use of HMM multi-frame recognition, and the robustness of the algorithm is improved.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a posture recognition method. Background technique [0002] In the late 20th century, in order to control the rapid population growth, my country implemented the family planning policy, which significantly reduced the birth rate, but at the same time, it accelerated the process of China's population aging. And a large number of elderly people have a great dependence on medical care and family care. In addition, many middle-aged and elderly people who usually seem to be healthy will also suffer from chronic diseases or sudden diseases during the natural aging process. Due to the lack of timely reminders or treatment, it will cause irreversible consequences. However, in the future when the available human resources will become increasingly scarce, it will be difficult to simply rely on children or professional medical staff to take care of the elderly, and this will in...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V40/103G06F18/23213G06F18/295
Inventor 王明江曲中鑫卢婷舒刘晓炯刘明
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL