Jason Halim

Papers

Total Citations

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About

Jason Halim is a researcher at the intersection of assistive robotics, human-robot interaction, and smart healthcare technologies. His work focuses on developing autonomous systems that enhance the safety and independence of elderly individuals, particularly those who prefer aging in place rather than moving to nursing homes. Halim’s most cited paper, "Towards Autonomous Robot Application and Human Pose Detection for Elders Monitoring" (2022), with 5 citations, introduces a novel framework that integrates robotic platforms, smart home sensors, and wearable devices to detect abnormal human poses and vital signs. When anomalies are identified, the system automatically sends notification emails to caregivers, enabling timely intervention. This contribution addresses a critical gap in non-intrusive, real-time elderly monitoring. Halim’s research is notable for its practical, application-driven approach, combining computer vision, sensor fusion, and autonomous navigation to create scalable solutions for aging populations. His work has implications for reducing caregiver burden and improving quality of life for seniors, positioning him as an emerging voice in the field of socially assistive robotics.