The simultaneous achievement of multiple functional attributes, such as flexibility, stretchability, transparency, comfortability, biodegradability, and self-powered ability into electronic skins (e-skins) is vital to their long-term practical applications. Due to the internal contradiction between functional material combination and simple structural design, this kind of multifunctional e-skin has rarely been fabricated or even reported. To this end, chitosan (CS), a natural material with remarkable biocompatibility, biodegradability, and electron-donating ability, is integrated with a single-mode triboelectric nanogenerator (TENG) to develop a multifunctional e-skin, which includes sweat permeability, controllable biodegradability, high transparency, and selfpowered sensing ability. In addition, a facile, efficient, and large-scale fabrication strategy is proposed to construct stretchable, ultrathin, transparent, and shape-adaptable gold nanofibers (Au NFs) electrodes. Furthermore, the e-skin can achieve a voltage response pressure sensitivity of 0.012 kPa −1 in the pressure range of 0-70 kPa and a fast response time of 70 ms. Finally, it shows controllable and excellent degradability in various solutions. It is believed that the proposed e-skin based on the design and integration of CS and Au NFs will provide a paradigm shift for the next-generation self-powered transient electronics.

Implantable sensors with the abilities of real-time healthcare monitoring and auxiliary training are important for exercise-induced or disease-induced muscle and ligament injuries. However, some of these implantable sensors have some shortcomings, such as requiring an external power supply or poor flexibility and stability. Herein, an organogel/silicone fiber-helical sensor based on a triboelectric nanogenerator (OFS-TENG) is developed for power-free and sutureable implantation ligament strain monitoring. The OFS-TENG with high stability and ultrastretchability is composed of an organogel fiber and a silicone fiber intertwined with a double helix structure. The organogel fiber possesses the merits of rapid preparation (15 s), good transparency (>95%), high stretchability (600%), and favorable stability (over 6 months). The OFS-TENG is successfully implanted on the patellar ligament of the rabbit knee for the real-time monitoring of knee ligament stretch and muscle stress, which is expected to provide a solution for real-time diagnosis of muscle and ligament injuries. The prepared self-powered OFS-TENG can monitor data on human muscles and ligaments in real-time.

Gait analysis provides a convenient strategy for the diagnosis and rehabilitation assessment of diseases of skeletal, muscular, and neurological systems. However, challenges remain in current gait recognition methods due to the drawbacks of complex systems, high cost, affecting natural gait, and one‐size‐fits‐all model. Here, a highly integrated gait recognition system composed of a self‐powered multi‐point body motion sensing network (SMN) based on full textile structure is demonstrated. By combining of newly developed energy harvesting technology of triboelectric nanogenerator (TENG) and traditional textile manufacturing process, SMN not only ensures high pressure response sensitivity up to 1.5 V kPa−1, but also is endowed with several good properties, such as full flexibility, excellent breathability (165 mm s−1), and good moisture permeability (318 g m−2 h−1). By using machine learning to analyze periodic signals and dynamic parameters of limbs swing, the gait recognition system exhibits a high accuracy of 96.7% of five pathological gaits. In addition, a customizable auxiliary rehabilitation exercise system that monitors the extent of the patient's rehabilitation exercise is developed to observe the patient's condition and instruct timely recovery training. The machine learning‐assisted SMN can provide a feasible solution for disease diagnosis and personalized rehabilitation of the patients.