Affiliation:
1. Ocean University of China
2. Haier Group
Abstract
In order to realize the identification of human daily actions, a method of identifying human daily actions is realized in this paper, which transforms this problem into converting human action recognition into analyzing feature sequence. Then the feature sequence combined with improved LCS algorithm could realize the human actions recognition. Data analysis and experimental results show the recognition rate of this method is high and speed is fast, and this applied technology will have broad prospects.
Publisher
Trans Tech Publications, Ltd.
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Cited by
2 articles.
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