Bang Wu

Papers

Total Citations

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About

Bang Wu is a leading researcher in ubiquitous and human-centric sensing, with a particular focus on device-free activity recognition and low-cost sensing technologies. His work addresses a critical challenge in smart environments: recognizing human activities without requiring users to wear or carry any sensors. In his highly cited 2018 paper, Wu pioneered the use of low-cost Lidar for recognizing Activities of Daily Life (ADL) in a device-free manner, demonstrating that location-driven sensing can operate reliably even when mobile hosts or on-body sensors fail or are not powered. This contribution has been foundational for developing robust, non-intrusive smart home and healthcare monitoring systems. With over a decade of research, Wu’s work has garnered significant attention, accumulating hundreds of citations and influencing the design of next-generation ambient intelligence. His innovative approach to off-body sensing has opened new avenues for privacy-preserving, low-maintenance human activity recognition, making him a key figure in the transition from wearable to truly invisible sensing technologies.