We explore how computer vision can advance skin-interfaced electronics by capturing and quantifying the complex biomechanics at the skin–device interface. This cyclic research approach integrates soft electronic design, mechanical characterization, and vision-based analysis to optimize next-generation wearable platforms.
We investigate skin–actuator mechanics in haptic systems using computer vision and analytical modeling to advance vibro-tactile feedback in virtual and augmented reality. Our work reveals how actuator design and mounting strategies influence deformation patterns, energy efficiency, and sensory perception.
We develop organ-interfaced electronic systems for real-time monitoring of mechanical activity in organ tissues. By combining soft, flexible electronics with computer vision–based analysis, we optimize spatiotemporal biomechanics and signal mapping in engineered cardiac and organoid tissues, advancing precision diagnostics and long-term organ health monitoring.