Monitoring Coma Patients in Real Time Using a Visual Perception System

Authors

  • Dr. Heena Kousar, Divya U H, Nithyananda C R, Dr. Chandramouli H, Dr. Rajani K C, Dr. N P Nethravathi Author

DOI:

https://doi.org/10.64252/1z8s7v25

Keywords:

You Only Look Oncev8 (YOLOv8), Open Source Computer Vision Library (OpenCV), Internet of Things (IoT), Augmented Reality (AR), Cross Stage Partial Network (CSPNet), FPN (Feature Pyramid Network), PANet (Path Aggregation Network), Vision Transformers (ViT).

Abstract

Monitoring Coma Patients in Real Time using a Visual Perception System aims to revolutionize patient care in critical medical settings by providing an innovative, non-invasive, and continuous monitoring solution tailored specifically for coma patients. The system utilizes cameras and computer vision techniques to monitor and track recovery signs monitored around the clock, tracking indicators such as eye blinks, lip movements, etc. The combination of YOLOv8 and machine learning enabled us to create a system that instantaneously notifies caregivers. This instant notification system reduces the need for constant manual checks and optimizes smart responsive critical care.

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Published

2025-08-20

Issue

Vol. 11 No. 22s (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Monitoring Coma Patients in Real Time Using a Visual Perception System. (2025). International Journal of Environmental Sciences, 1171-1178. https://doi.org/10.64252/1z8s7v25