Caiying Qiao
Papers
1
Total Citations
2
H-Index
1
About
Dr. Caiying Qiao is a researcher at the forefront of human-computer interaction (HCI), specializing in somatosensory technology and motion-based control systems. Her most-cited work, "Research on Human-Computer Interaction Following Motion Based on Kinect Somatosensory Sensor" (2022), introduces an innovative method for controlling robots and equipment through natural body movements, leveraging the Kinect sensor’s machine vision capabilities. This contribution bridges the gap between intuitive human gestures and robotic response, advancing the field of non-contact interaction. With 2 citations to date, her research lays foundational groundwork for applications in assistive robotics, smart environments, and immersive gaming. Dr. Qiao’s work is particularly notable for its practical approach to real-time motion tracking, offering a scalable solution for hands-free control. Her achievements underscore a commitment to making technology more accessible and responsive, positioning her as an emerging voice in the evolution of somatosensory interfaces. For students and researchers, her work exemplifies how interdisciplinary insights from computer vision and robotics can transform everyday human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1