基于MXene/PU柔性薄膜传感器的手势识别数据手套

In recent years, data glovesbased on flexible strain sesnors have received extensive attention. On the one hand, most of the commercial data gloves applied rigid MEMS sensors, whereas flexible sensors satisfy the needs of wearing comfort and low-cost manufacturing for data gloves because of their excellent flexibility and stretchability. On the other hand, with the disadvantages such as low preparation efficiency and complex preparation procedures, flexible data gloves reported cannot achieve large-scale preparation, andthey show relatively low stability after long-term use. In this paper, a data glove for gesture recognition based on flexible MXene/PU film sensors is proposed, on which the sensing units are obtained by compositing MXene and polyurethane (PU) by an efficient, facile and low-cost preparation method. Meanwhile, the as-fabricated sensing units show ultrahigh sensitivity (the gauge factor value has reached 664.8 @ 25% strain), outstanding stability and durability. After testing, the data glove shows stable, quick and accurate response to different bending angles of human finger joints. We further used the data glove to realize the data collection, data pre-processing and extremely accurate recognitions to 10 static gestures representing digits from "0" to "9" in American standard, and the average recognition accuracy has impressively achieved 99.13%.