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Authors: Kooshan Hashemifard 1 ; Francisco Florez-Revuelta 1 and Gerard Lacey 2

Affiliations: 1 Department of Computing Technology, University of Alicante, San Vicente del Raspeig, Spain ; 2 Department of Electronic Engineering, Maynooth University, Maynooth, Ireland

Keyword(s): Ambient-Assisted Living (AAL), Privacy-Preserving Camera, Fallen Person Detection, Edge-AI.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - ICT4AWE; ISBN 978-989-758-645-3; ISSN 2184-4984, SciTePress, pages 262-269. DOI: 10.5220/0012037200003476

@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 - ICT4AWE},
year={2023},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012037200003476},
isbn={978-989-758-645-3},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE
TI - A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera
SN - 978-989-758-645-3
IS - 2184-4984
AU - Hashemifard, K.
AU - Florez-Revuelta, F.
AU - Lacey, G.
PY - 2023
SP - 262
EP - 269
DO - 10.5220/0012037200003476
PB - SciTePress

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