Privacy-Preserving Bathroom Monitoring for Elderly Emergencies Using PIR and LiDAR Sensors
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911211541495808 |
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| author | Sidibé, Youssouf Gersey, Julia |
| author_facet | Sidibé, Youssouf Gersey, Julia |
| contents | In-home elderly monitoring requires systems that can detect emergency events - such as falls or prolonged inactivity - while preserving privacy and requiring no user input. These systems must be embedded into the surrounding environment, capable of capturing activity, and responding promptly. This paper presents a low-cost, privacy-preserving solution using Passive Infrared (PIR) and Light Detection and Ranging (LiDAR) sensors to track entries, sitting, exits, and emergency scenarios within a home bathroom setting. We developed and evaluated a rule-based detection system through five real-world experiments simulating elderly behavior. Annotated time-series graphs demonstrate the system's ability to detect dangerous states, such as motionless collapses, while maintaining privacy through non-visual sensing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_18242 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Privacy-Preserving Bathroom Monitoring for Elderly Emergencies Using PIR and LiDAR Sensors Sidibé, Youssouf Gersey, Julia Cryptography and Security In-home elderly monitoring requires systems that can detect emergency events - such as falls or prolonged inactivity - while preserving privacy and requiring no user input. These systems must be embedded into the surrounding environment, capable of capturing activity, and responding promptly. This paper presents a low-cost, privacy-preserving solution using Passive Infrared (PIR) and Light Detection and Ranging (LiDAR) sensors to track entries, sitting, exits, and emergency scenarios within a home bathroom setting. We developed and evaluated a rule-based detection system through five real-world experiments simulating elderly behavior. Annotated time-series graphs demonstrate the system's ability to detect dangerous states, such as motionless collapses, while maintaining privacy through non-visual sensing. |
| title | Privacy-Preserving Bathroom Monitoring for Elderly Emergencies Using PIR and LiDAR Sensors |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2505.18242 |