2025/05/23 by Youssouf Sidibé, Sidibé, Youssouf, Julia Gersey +1
Environmental Science · Computer Science · #Impact of Light on Environment and Health #Context-Aware Activity Recognition Systems
paper · pdf · doi:10.48550/arxiv.2505.18242
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.