Ultrathin Elastomer Nanofiber-Based Skin-Like Electronic with Multi-Mode Sensing Capabilities

The development of skin-like multimodal electronic devices (SMED) is pivotal for advancing humanoid robotics and wearable technologies, enabling seamless interaction with and perception of complex environments. However, integrating comprehensive sensing capabilities with multifunctionality, while maintaining superior permeability, biocompatibility, and wearer comfort, remains a significant challenge. Here, a SMED platform capable of detecting multiple external stimuli (i.e., strain, pressure, temperature, and humidity) via a seamless integration strategy is reported. The SMED combines exceptional permeability, stretchability, biocompatibility, high transparency, and robust wet adhesion to skin, creating a stable and conformal skin-electrode interface reminiscent of an electronic tattoo. The device exhibits unparalleled sensitivity to environmental and physiological cues, outperforming existing state-of-the-art sensors in terms of response range and sensitivity. This study demonstrates its versatility in real-world applications, such as continuous electrocardiogram monitoring under wet conditions, precise gesture recognition, real-time temperature/humidity sensing, and comprehensive monitoring of human physiological signals. This work not only advances the field of wearable electronics but also paves the way for next-generation wearable electronics, offering transformative potential for health monitoring, human-machine interfaces, and beyond. By bridging the gap between functionality and wearability, the SMED platform represents a significant leap toward the realization of truly interactive and adaptive electronic systems. Graphical A skin-like multimodal electronic device (SMED) is developed, integrating strain, pressure, temperature, and humidity sensing capabilities into an ultrathin, permeable, and biocompatible platform. With exceptional sensitivity, wet adhesion, and transparency, the SMED enables continuous ECG monitoring, gesture recognition, and environmental sensing. This innovation bridges functionality and wearability, advancing next-generation wearable electronics for health monitoring and human-machine interfaces.