Skin-like wearable electronics with multimodal functions and neuromorphic edge data processing

Wearable electronics that seamlessly interface with the skin for physiological monitoring have seen significant commercial success over the past decade. However, expanding their health-relevant functionalities remains a challenge due to two key hurdles: (1) establishing a stable, long-term conformal interface with the skin to effectively capture subtle physiological signals, and (2) enabling real-time, high-throughput processing of complex datasets for timely Interventions. In this talk, I will discuss our research addressing these challenges from a fundamental level to a technological deployment level. First, I will introduce our materials and device innovations that impart stretchable, ultrasoft, and bioadhesive properties to two critical electronic platforms: transistor-based biosensors and organic light-emitting diodes (OLEDs). Second, I will present our development of skin-integrated neuromorphic devices and circuits, which provide efficient edge computing for processing sensory data directly on the wearable platform. Moving forward, by integrating long-term stable, multimodal sensing with on-device neuromorphic AI computing, we aim to unlock new capabilities in wearable health technologies, paving the way for more intelligent and responsive bioelectronic systems.