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A Survey on Human Activity Recognition Using Deep Learning Techniques and Wearable Sensor Data

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Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1762))

Abstract

HAR has attained major attention because of its significant use in real-life scenarios like activity and fitness monitoring, rehabilitation, gaming, prosthetic limbs, healthcare, smart surveillance systems, etc. HAR systems provide ways for monitoring human behaviors and detecting body movements and various activities by using sensor data. The collection of sensors available in the mobile and other wearable devices has made most of these HAR applications easily possible. Moreover, Deep Learning (DL) has further accelerated the research on HAR using the data obtained via wearable devices. In this paper, we have discussed the overview of HAR, its applications, and popular benchmark datasets available publicly. Further, we discussed various DL techniques applied for HAR applications. We have also presented the challenges associated with the field and the future directions for performing more vital research in HAR.

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Authors and Affiliations

  1. National Institute of Technology, Jamshedpur, Jharkhand, India

    Nidhi Dua, Shiva Nand Singh & Sravan Kumar Challa

  2. MANIT Bhopal, Bhopal, M.P., India

    Vijay Bhaskar Semwal

  3. Vignan’s Institute of Information Technology, Visakhapatnam, India

    M. L. S. Sai Kumar

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  1. Nidhi Dua
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  2. Shiva Nand Singh
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  3. Sravan Kumar Challa
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  4. Vijay Bhaskar Semwal
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  5. M. L. S. Sai Kumar
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  1. Maulana Azad National Institute of Technology, Bhopal, India

    Nilay Khare

  2. Maulana Azad National Institute of Technology, Bhopal, India

    Deepak Singh Tomar

  3. Maulana Azad National Institute of Technology, Bhopal, India

    Mitul Kumar Ahirwal

  4. Maulana Azad National Institute of Technology, Bhopal, India

    Vijay Bhaskar Semwal

  5. Maulana Azad National Institute of Technology, Bhopal, India

    Vaibhav Soni

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Dua, N., Singh, S.N., Challa, S.K., Semwal, V.B., Sai Kumar, M.L.S. (2022). A Survey on Human Activity Recognition Using Deep Learning Techniques and Wearable Sensor Data. In: Khare, N., Tomar, D.S., Ahirwal, M.K., Semwal, V.B., Soni, V. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2022. Communications in Computer and Information Science, vol 1762. Springer, Cham. https://doi.org/10.1007/978-3-031-24352-3_5

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