Artificial Intelligence of Things Based Wearable System for Human Motion Analysis

Authors

  • Ganesha H S,Rinki Gupta ,Suraj Shankarrao Damre

Keywords:

Artificial Intelligence of Things, Wearable Sensors, Motion Analysis, Machine Learning, Activity Recognition, Healthcare Technology

Abstract

The convergence of Artificial Intelligence and Internet of Things has created unprecedentedopportunities for developing intelligent wearable systems capable of analyzing human motionwith remarkable precision and real-time responsiveness. This research presents a comprehensive AIoT-based wearable system

References

Anderson, K. and Foster, M. (2022) 'Validation methodologies for wearable motion analysis systems: Comparison with optical motion capture', Sensors, 22(18), pp. 6891 6912.

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Published

2024-05-15

How to Cite

Ganesha H S,Rinki Gupta ,Suraj Shankarrao Damre. (2024). Artificial Intelligence of Things Based Wearable System for Human Motion Analysis . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3575–3589. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4970

Issue

Section

Articles