A flexible pressure sensor with wide detection range and high sensitivity based on glycerol@phosphoric acid nanofibers for human posture recognition applications

Flexible pressure sensors are widely used in wearable devices, especially in the field of human - computer interaction. Hence, the development of flexible pressure sensors with excellent sensitivity and detection range is essential. This paper introduces a flexible capacitive pressure sensor based on glycerol@phosphoric acid nanofibers, showcasing remarkable properties, including high sensitivity (53.97 kPa(-1) at 300 - 1200 kPa), exceptionally wide detection range (1800 kPa), faster response/recovery time than human skin (14.4/9.6 ms), extremely low detection limit (5 Pa), outstanding stability ( >10,000 fatigue tests), and excellent biocompatibility. In addition, the sensor was seamlessly integrated with deep learning algorithms, embedded systems, and internet technologies to develop a comprehensive human posture recognition system, which can adeptly capture and identify intricate human movements with an accuracy rate over 98 %. This system establishes a diagnostic channel between home patients and rehabilitation experts. Owing to its excellent sensitivity and detection range, the developed sensor presents promising prospects for future advancements in human - computer interaction.