Real-Time Fitness Watch Analyzer on NVIDIA Jetson Nano for Sleep, Heart Health, and Wellness Monitoring

DOI

10.2991/978-94-6463-831-8_21How to use a DOI?

Keywords

Real-Time Health Monitoring Systems; NVIDIA Jetson Nano; Edge Computing; Sleep Quality Analysis Algorithms; Contractive Autoencoder; Heart Rate Anomaly Detection Techniques; Wellness Analytics Using Predictive Models

Abstract

A real-time fitness watch analyzer is introduced which is leveraged on the NVIDIA Jetson Nano board. It is specially designed for individualized health monitoring with a focus on heart rate anomaly detection and sleep quality estimation. A Contractive Autoencoder (CAE) was used to identify anomalies in smooth and normalized heart rate sequences with an accuracy of 92% and AUC of 0.92. For the estimation of sleep quality, a weighted Random Forest Regressor was employed. Greater weight given to trees that emphasized important features like heart rate and sleep duration, yielding an R2 score of 0.78 and a mean absolute error of 0.086. To protect privacy and minimize latency, all calculations were performed locally on the Jetson Nano without reliance on cloud computing. One of the system’s most important features is secure, user-managed access. This enables users to share real-time health data with trusted individuals like family and physicians. Through the combination of heart health, sleep analysis, and access management, this system provides a strong, low-latency solution for real-time wellness tracking.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shripad Bhatlawande
AU  - Sanskruti Chopade
AU  - Ishika Dhoble
AU  - Mrunal Dhulap
AU  - Swati Shilaskar
PY  - 2025
DA  - 2025/08/31
TI  - Real-Time Fitness Watch Analyzer on NVIDIA Jetson Nano for Sleep, Heart Health, and Wellness Monitoring
BT  - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
PB  - Atlantis Press
SP  - 167
EP  - 174
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-831-8_21
DO  - 10.2991/978-94-6463-831-8_21
ID  - Bhatlawande2025
ER  -