Review
Version 1
Preserved in Portico This version is not peer-reviewed
The Review of Human Activity Recognition Survey
Version 1
: Received: 27 September 2023 / Approved: 28 September 2023 / Online: 28 September 2023 (11:13:40 CEST)
How to cite: Chatterjee, S. The Review of Human Activity Recognition Survey. Preprints 2023, 2023091939. https://doi.org/10.20944/preprints202309.1939.v1 Chatterjee, S. The Review of Human Activity Recognition Survey. Preprints 2023, 2023091939. https://doi.org/10.20944/preprints202309.1939.v1
Abstract
Human Action Recognition is widely used in multiple
fields to recognize activities and extract spatial and temporal
information. This paper focuses on analyzing various methods as
well as provides extensive knowledge of the foundational concepts
of the HAR. A dataset is also very crucial for any research study
so we discussed the popular dataset and its features in this paper.
Keywords
HAR, Human Activity Recognition, Feature extraction, Machine Learning, Computer Vision
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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