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An Unsupervised TinyML Approach with Efficient Edge AI for Effective Stress and Sleep Monitoring

Year: 2025

Type: conference-paper

Source: International Conference on Recent Innovation in Science Engineering and Technology (ICRISET)

DOI: 10.1109/icriset64803.2025.11252416

Authors: M Sudha, P.Neelaveni, E Pooja, V Mangaiyarkarasi, Rowsonara Begum, J. Jayanthi

Institutions: Rajalakshmi Engineering College, Sona College of Technology

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4416799342

FWCI:

Cites: 16

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Related to: 10