Self‐Powered MXene@Perovskite Thermoelectric Skin for Multimodal Mid‐Infrared Sensing and Human Signal Recognition
Qiang Wang, Yinghao Zhao, Xiaoyue Wang, Yiqiang Li, Gen Li, Xiaojuan Cao, Xiaonan He, Yuankun Zhang, Fei Chen, Lixue YangABSTRACT
The effective detection of human thermal radiation (8–14 µm) was critical for next‐generation human‐machine interactions (HMIs). However, conventional mid‐infrared sensors were typically constrained by external power requirements and limited capability in decoding complex multimodal signals. Here, we developed a bio‐inspired, self‐powered thermoelectric skin based on a V 2 C MXene@CsPbBr 3 heterostructure. By combining the local surface plasmon resonance (LSPR) of V 2 C MXene with the photothermoelectric effect (PTE) of perovskite, efficient photothermal conversion and self‐driven signal generation within the atmospheric window were achieved. The platform supported multimodal signal processing, including gesture recognition, Morse code encryption, and real‐time motion tracking (velocity and displacement). In addition, ultrasensitive, bias‐free detection of human pulse signals (66–100 bpm) was enabled, and high responsivity, excellent operational stability (>10 000 cycles), and precise capture of subtle physiological dynamics were demonstrated. Furthermore, this skin integrated with a CNN‐bidirectional long short‐term memory‐attention neural network realized silent speech recognition with 95.9% accuracy. This work established a synergistic LSPR‐PTE framework, offering a scalable strategy for intelligent electronic skins and contactless HMIs.