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An Activity Recognition Algorithm Based on Multi-feature Fuzzy Cluster

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Proceedings of the 2015 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE))

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Abstract

In this paper an activity recognition algorithm based on multi-feature fuzzy cluster is designed to find out more details of the activities so as to achieve an accurate classification among them. Firstly, it is proved that distribution of feature vectors vary from activity to activity. And then, a multi-feature extraction algorithm is designed to extract the feature vectors of each activity which makes up a standard activity class. Finally, an activity recognition algorithm based on similarity measurement is brought up and the misjudgment rate turns out to be acceptable, which proves that this algorithm is accurate and highly feasible.

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Acknowledgments

We would like to thank the supports by the National College Students’ Innovative Experiment Project (201410611054).

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Authors and Affiliations

  1. College of Automation, Chongqing University, Chongqing, 400044, China

    Huile Xu, Yi Chai, Wangli Lin, Feng Jiang & Shuaihui Qi

  2. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, 400044, China

    Yi Chai

Authors
  1. Huile Xu
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  2. Yi Chai
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  3. Wangli Lin
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  4. Feng Jiang
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  5. Shuaihui Qi
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Corresponding author

Correspondence to Yi Chai .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. Tsinghua University, Beijing, China

    Hongbo Li

  4. University of Science & Technology Beijing, Beijing, China

    Weicun Zhang

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© 2016 Springer-Verlag Berlin Heidelberg

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Xu, H., Chai, Y., Lin, W., Jiang, F., Qi, S. (2016). An Activity Recognition Algorithm Based on Multi-feature Fuzzy Cluster. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48365-7_37

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  • DOI: https://doi.org/10.1007/978-3-662-48365-7_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48363-3

  • Online ISBN: 978-3-662-48365-7

  • eBook Packages: EngineeringEngineering (R0)

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