Posture Recognition Using Computer Vision and Neural Networks for Real-Time Health Monitoring and Assistance

Sujay Khond , Rohit Shinde , Parth Yendhe , Omkar Kadam

Posture Recognition, Fall Detection , Neural Networks, Computer Vision, Convolutional Neural Networks (CNN), EfficientNet, Health Monitoring, Real-Time Assistance

This paper introduces a novel approach to posture recognition and real-time health monitoring using computer vision and neural networks. The proposed system utilizes a combination of Convolutional Neural Networks (CNNs) and EfficientNet for posture detection and fall recognition. It leverages real-time video feed from cameras, eliminating the need for wearable devices or manual intervention. The system is designed to proactively monitor users' postures, provide immediate corrective feedback, and trigger emergency alerts in case of critical health events such as falls. By integrating both posture monitoring and health assistance, the system addresses a gap in current wearable-based health solutions. This paper presents the system's architecture, methodology, dataset used, and its applications in healthcare, ergonomics, and rehabilitation. The proposed model has demonstrated high accuracy in detecting incorrect postures and falls, with the potential to significantly enhance patient care and workplace ergonomics.

Published Paper   E-Certificate

"Posture Recognition Using Computer Vision and Neural Networks for Real-Time Health Monitoring and Assistance", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.c558-c565, October-2024, Available :https://ijnrd.org/papers/IJNRD2410268.pdf

Volume 9 Issue 10, October-2024

Pages : c558-c565

Paper Reg. ID: IJNRD_301437

Published Paper Id: IJNRD2410268

Downloads: 00024

Research Area: Science and Technology

Country: Pune, Maharashtra , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410268

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410268

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition