Pressure Sensor Array With Low-Power Near-Sensor CMOS Chip for Human Gait Monitoring
Xiyue Tian, Zheyu Liu, Congwei Guo, Jin Yang, Jietao Chen, Shujing Lyu, Hengchang Bi, Fei Qiao, Xing Wu, Yue Lu
Abstract
Recent years have witnessed the emerging development of flexible electronic devices in applications, such as human gait monitoring. The automatic posture identification could be achieved by sensing the feet pressure. However, the sensor data processing chip usually consumes high power. In this letter, a wearable gait recognition system integrated with an ultrahigh-energy efficiency chip is proposed. A low-power human gait pressure monitoring and recognition solution that uses artificial intelligence near-sensor chips is reported. A large-scale flexible pressure sensor array (64 × 64 pixels) was fabricated. The gait posture was recognized dynamically with a CMOS chip embedded near the sensors. The system owns a recognition rate for three different gaits of 92% with the chip power consumption of 1.45 mW. This letter paves the way for future low-power human gait monitoring.