Hongyu Mao

Papers

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About

Hongyu Mao is a rising researcher at the intersection of wearable sensing, human-computer interaction, and robotics. Her work focuses on two key areas: non-invasive physiological sensing for hand pose estimation, and proxemic-aware augmented reality (AR) for human-robot interaction (HRI). In her highly cited 2024 paper, "EITPose," Mao introduces a groundbreaking wrist-worn system that uses electrical impedance tomography (EIT) with just eight electrodes to continuously estimate 3D hand poses in real time. This work, already garnering 22 citations, promises transformative applications in gaming, robotics, and intuitive human-computer interfaces. Complementing this, her 2023 study on proxemic-aware AR systems addresses the critical challenge of information overload in HRI by dynamically adjusting visual content based on human-robot distance. By leveraging spatial relationships, Mao's system enhances operator efficiency and safety. Her innovative fusion of wearable technology and context-aware AR demonstrates a clear trajectory toward more natural, seamless human-machine collaboration. With these contributions, Hongyu Mao is establishing herself as a key voice in next-generation interactive systems.