Ying Huang

Papers

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About

Ying Huang is a researcher specializing in flexible electronics, human-machine interaction, and wearable sensing technologies. Their work sits at the dynamic intersection of materials science and intelligent systems, with a particular focus on developing advanced flexible strain sensors capable of capturing and interpreting complex human motion. Huang's most recognized contribution, "Static and Dynamic Human Arm/Hand Gesture Capturing and Recognition via Multiinformation Fusion of Flexible Strain Sensors" (2020), has garnered 68 citations and represents a significant advancement in the field of gesture recognition. By leveraging multi-information fusion techniques, this research enables precise, real-time detection of both static and dynamic hand and arm movements, opening pathways for more intuitive human-computer interaction (HCI), human-machine interfaces (HMI), and human-robot interaction (HRI). The work addresses a critical need for natural, non-invasive communication modalities between humans and intelligent systems, with broad applications spanning rehabilitation engineering, prosthetics, virtual reality, and robotics. Huang's research exemplifies the growing convergence of soft materials engineering and artificial intelligence, contributing meaningful solutions to how humans interact with increasingly sophisticated technology in everyday and specialized environments.