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Gesture Recognition Based on Accelerometer and Gyroscope and Its Application in Medical and Smart Homes

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Web and Big Data (APWeb-WAIM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11268))

Abstract

In recent years, with the rapid development of science and technology, artificial intelligence has gradually entered various fields, and medicine is no exception. For the patients with hand or leg disability after hand injury surgery, the rapid development of artificial intelligence undoubtedly also contributes to improving their life a lot.

Lately, gesture-based human-computer interaction has further accelerated its research due to its natural and intuitive interaction, but building a powerful gesture recognition system is still based on traditional visual methods such as the one proposed in [1] based on multiple cameras which uses color matching for motion detection and tracking and applies it to vehicle control; and another gesture recognition algorithm using stereo imaging and color vision proposed in [2].

The popularity of accelerometers and gyroscopes opens up a new path for gesture recognition. This paper presents a gesture recognition algorithm based on neural network using accelerometer and gyroscope, and applies it to a simple mobile game and smart socket. The mobile game will be used in the hand rehabilitation training of patients after hand injury surgery, leg disability patients inconvenience, smart socket will help them more easily and quickly manage household electricity.

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Acknowledgement

This work was supported by grants from the Fundamental Research Funds for the Key Research Programm of Chongqing Science & Technology Commission (grant no. cstc2017rgzn-zdyf0064), the Chongqing Provincial Human Resource and Social Security Department (grant no. cx2017092), the Central Universities in China (grant nos. 2018CDXYRJ0030, CQU0225001104447).

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Authors and Affiliations

  1. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

    Huaizhou Su & Li Liu

  2. College of Information Science and Engineering, Lanzhou University, Lanzhou, China

    Yande Li

Authors
  1. Huaizhou Su
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  2. Yande Li
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  3. Li Liu
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Corresponding author

Correspondence to Li Liu .

Editor information

Editors and Affiliations

  1. University of Macau, Macao, China

    Leong Hou U

  2. Education University of Hong Kong, Hong Kong, China

    Haoran Xie

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Cite this paper

Su, H., Li, Y., Liu, L. (2018). Gesture Recognition Based on Accelerometer and Gyroscope and Its Application in Medical and Smart Homes. In: U, L., Xie, H. (eds) Web and Big Data. APWeb-WAIM 2018. Lecture Notes in Computer Science(), vol 11268. Springer, Cham. https://doi.org/10.1007/978-3-030-01298-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-01298-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01297-7

  • Online ISBN: 978-3-030-01298-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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