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Research on Applied Technology in Human Action Recognition Based on Skeleton Information

机译:基于骨架信息的人类行动认可应用技术研究

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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.
机译:为了实现人类日常行动的识别,本文实现了一种识别人日常行动的方法,这将对人为行动识别转化为分析特征序列来实现这一问题。然后,与改进的LCS算法组合的特征序列可以实现人类的动作识别。数据分析和实验结果表明,这种方法的识别率高,速度快,这种应用技术将具有广阔的前景。

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