Area of research
Biomedical Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Triboelectric effect, Artificial intelligence, Soft robotics, Wearable computer, and Materials science.
Self‐powered triboelectric‐electromagnetic composite sensor based on Kresling structure for <scp>AIoT</scp> ‐assisted rehabilitation applications
Multimodal Sensors Enabled Autonomous Soft Robotic System with Self-Adaptive Manipulation
<scp>AIoT</scp>‐enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring
Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation
Modular Soft Robot with Origami Skin for Versatile Applications
Deep learning-based high-accuracy quantitation for lumbar intervertebral disc degeneration from MRI
Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications
Self-sustainable flow-velocity detection via electromagnetic/triboelectric hybrid generator aiming at IoT-based environment monitoring
Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
Atomic Layer Deposition of Inorganic Films for the Synthesis of Vertically Aligned Carbon Nanotube Arrays and Their Hybrids