Xinshuang Zhao

Papers

Total Citations

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About

Xinshuang Zhao is a researcher focused on human-robot interaction, assistive robotics, and gesture recognition technologies, with a particular emphasis on applications for elderly care. Their major contributions lie in developing intuitive, vision-based systems that enable non-expert users—especially the elderly—to communicate naturally with service robots. Zhao’s most cited work, “Kinect based calling gesture recognition for taking order service of elderly care robot” (2014, 28 citations), proposes a novel scenario using Microsoft Kinect to recognize calling gestures, allowing elderly individuals to summon a robot and request services without complex interfaces. Building on this, their paper “Octree segmentation based calling gesture recognition for elderly care robot” (2014, 6 citations) introduces an advanced method that isolates the caller’s head and hand via octree segmentation, improving accuracy in cluttered environments. These contributions address the critical challenge of making assistive robots accessible to aging populations, reducing reliance on technical expertise. Zhao’s work has influenced the design of user-friendly human-robot interaction systems, with citation counts reflecting its relevance in the fields of gerontechnology and service robotics. Their research continues to shape how robots can serve as compassionate, responsive aides in elderly care settings.