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A Review of State of Art Techniques for 3D Human Activity Recognition System

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Modern Electronics Devices and Communication Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 948))

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Abstract

Recognizing human activities through video sequences and images is still a challenge due to background jumble, partial occlusion, changes in scale, viewpoint, lighting and appearance. A human activity classification technique has been comprehensively reviewed by the researchers. We have categorized human activity methodologies with object detection and feature extraction along with their sub-categorization, advantages and restrictions. Moreover, we provide a comprehensive analysis of the existing, publicly available human activity datasets with applications and examine the prerequisites for an ideal human activity recognition dataset. At last, we present some open issues on human activity recognition and characteristics of future research directions.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India

    Bhavana Sharma & Jeebananda Panda

Authors
  1. Bhavana Sharma
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  2. Jeebananda Panda
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Corresponding author

Correspondence to Bhavana Sharma .

Editor information

Editors and Affiliations

  1. G. L. Bajaj Institute of Technology and Management, Greater Noida, India

    Rajeev Agrawal

  2. Indian Institute of Science Bangalore, Bengaluru, India

    Chandramani Kishore Singh

  3. Department of Electrical Engineering and Computer Science, Texas A&M University—Kingsville, Kingsville, USA

    Ayush Goyal

  4. G. L. Bajaj Institute of Technology and Management, Greater Noida, India

    Dinesh Kumar Singh

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sharma, B., Panda, J. (2023). A Review of State of Art Techniques for 3D Human Activity Recognition System. In: Agrawal, R., Kishore Singh, C., Goyal, A., Singh, D.K. (eds) Modern Electronics Devices and Communication Systems. Lecture Notes in Electrical Engineering, vol 948. Springer, Singapore. https://doi.org/10.1007/978-981-19-6383-4_1

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  • DOI: https://doi.org/10.1007/978-981-19-6383-4_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6382-7

  • Online ISBN: 978-981-19-6383-4

  • eBook Packages: EngineeringEngineering (R0)

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