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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

DOI retrieved: December 3, 2024

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
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Mansaf Alam