A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera

Kooshan Hashemifard, Francisco Florez-Revuelta, Gerard Lacey

2023

Abstract

As the population ages, Ambient-Assisted Living (AAL) environments are increasingly used to support older individuals’ safety and autonomy. In this study, we propose a low-cost, privacy-preserving sensor system integrated with mobile robots to enhance fall detection in AAL environments. We utilized the Luxonis OAK-D Edge-AI camera mounted on a mobile robot to detect fallen individuals. The system was trained using YOLOv6 network on the E-FPDS dataset and optimized with a knowledge distillation approach onto the more compact YOLOv5 network, which was deployed on the camera. We evaluated the system’s performance using a custom dataset captured with a robot-mounted camera. We achieved a precision of 96.52%, a recall of 95.10%, and a recognition rate of 15 frames per second. The proposed system enhances the safety and autonomy of older individuals by enabling the rapid detection and response to falls.

Paper Citation

in Harvard Style

Hashemifard K., Florez-Revuelta F. and Lacey G. (2023). A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-645-3, SciTePress, pages 262-269. DOI: 10.5220/0012037200003476

in Bibtex Style

@conference{ict4awe23,
author={Kooshan Hashemifard and Francisco Florez-Revuelta and Gerard Lacey},
title={A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera},
booktitle={Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2023},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012037200003476},
isbn={978-989-758-645-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera
SN - 978-989-758-645-3
AU - Hashemifard K.
AU - Florez-Revuelta F.
AU - Lacey G.
PY - 2023
SP - 262
EP - 269
DO - 10.5220/0012037200003476
PB - SciTePress