Fast and High Precision Human Fall Prevention and Intimation Using Haptic Technology

R. Ravichandran, B. Latha, B. Vinothkumar, K. Arunkarthik, N G. Gopisankar, A. Yuvarajan

2025

Abstract

The aim of the study is to develop a fast and high-precision human fall prevention and intimation system using haptic technology, comparing its performance with the existing YOLOv8-based fall detection method. Materials and Methods: There are two groups in this study. Group 1 refers to a novel YOLOv8-based fall detection approach with 12-samples and Group 2 refers to a haptic- based fall detection method with 12-samples. The threshold is 0.05% with a 95% confidence range and the G Power value is 80%. Result: The performance of the proposed haptic-based fall detection system is noticeably superior to that of the YOLOv8-based technique. Whereas the YOLOv8-based approach attains an accuracy between 91.50% and 95.30%, the haptic-based method's accuracy falls between 95.80% and 98.50%. At a significance level of p < 0.05, the haptic-based solution performs at its best. Conclusion: In this work, it is observed that the haptic- based fall detection system has significantly better accuracy and response time compared to the YOLOv8- based method.

Paper Citation

in Harvard Style

Ravichandran R., Latha B., Vinothkumar B., Arunkarthik K., Gopisankar N. and Yuvarajan A. (2025). Fast and High Precision Human Fall Prevention and Intimation Using Haptic Technology. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 632-638. DOI: 10.5220/0013903200004919

in Bibtex Style

@conference{icrdicct`2525,
author={R. Ravichandran and B. Latha and B. Vinothkumar and K. Arunkarthik and N G. Gopisankar and A. Yuvarajan},
title={Fast and High Precision Human Fall Prevention and Intimation Using Haptic Technology},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={632-638},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013903200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Fast and High Precision Human Fall Prevention and Intimation Using Haptic Technology
SN - 978-989-758-777-1
AU - Ravichandran R.
AU - Latha B.
AU - Vinothkumar B.
AU - Arunkarthik K.
AU - Gopisankar N.
AU - Yuvarajan A.
PY - 2025
SP - 632
EP - 638
DO - 10.5220/0013903200004919
PB - SciTePress