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China Conference on Wireless Sensor Networks

CWSN 2018: Wireless Sensor Networks pp 131–144Cite as

Research on Human Behavior Recognition Based on Convolutional Neural Network

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 984))

Abstract

The traditional human behavior recognition technology mainly includes sign point action recognition technology and recognition technology based on motion sensor parameters. The former’s error is very large and the latter’s recognition speed is slow as well as the accuracy is very low. In this paper, a method of recognition of depth learning behavior based on convolutional neural network is proposed to identify different behaviors (jogging, walking, running, upstairs, downstairs, sitting) with different location of mobile phone (arm, waist, pocket, wrist), collecting a large amount of data by using the built-in sensor of the mobile phone. The data are standardized, normalized and window segmentation, and then the data are divided into testing set and training set. Establish a convolutional neural network learning model to extract local feature structure and combine supervised learning mode, use training set for training, and then use testing set for classifying and evaluating. Through experiments, in the common movements and different placement positions, the accuracy is more than 94%, and the effect of high speed and high accuracy to identify human behavior is achieved.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Northwest University, Xi’an, China

    Pengkun Ma, Tong Zou & Yuejie Wang

Authors
  1. Pengkun Ma
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  2. Tong Zou
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  3. Yuejie Wang
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Corresponding author

Correspondence to Pengkun Ma .

Editor information

Editors and Affiliations

  1. Kunming University, Kunming, China

    Shikai Shen

  2. Kunming University, Kunming, China

    Kaiguo Qian

  3. Kunming University, Kunming, China

    Shaojun Yu

  4. Yunnan Nationalities University, Kunming, China

    Wu Wang

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© 2019 Springer Nature Singapore Pte Ltd.

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Ma, P., Zou, T., Wang, Y. (2019). Research on Human Behavior Recognition Based on Convolutional Neural Network. In: Shen, S., Qian, K., Yu, S., Wang, W. (eds) Wireless Sensor Networks. CWSN 2018. Communications in Computer and Information Science, vol 984. Springer, Singapore. https://doi.org/10.1007/978-981-13-6834-9_12

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  • DOI: https://doi.org/10.1007/978-981-13-6834-9_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6833-2

  • Online ISBN: 978-981-13-6834-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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