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A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices

Human Activity Recognition (HAR) using wearable and mobile sensors has gained momentum in various fields, such as healthcare, surveillance, education, entertainment. The proposed model is deployed on edge devices like Raspberry Pi3.

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Cite this as

Preeti Agarwal, Mansaf Alam (2024). Dataset: A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices. https://doi.org/10.57702/8g825rvu

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.1909.12917
Author	Preeti Agarwal
More Authors	Mansaf Alam