首页|Investigators from Zhengzhou University Zero in on Machine Learning (Bioinspired Composite Fiber Aerogel Pressure Sensor for Machine-learning-assisted Human Act ivity and Gesture Recognition)
Investigators from Zhengzhou University Zero in on Machine Learning (Bioinspired Composite Fiber Aerogel Pressure Sensor for Machine-learning-assisted Human Act ivity and Gesture Recognition)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Henan, People’s Repu blic of China, by NewsRx correspondents, research stated,“Machine-learning-assi sted human activity and gesture recognition are valuable for human-computer interaction, and data acquisition often necessitates high-performance sensors. Here, inspired by spider weband bat wing airflow sensing system, polyimide fiber (PI F)/carbon black (CB) composite fiber aerogel(CFA) pressure sensor with biomimet ic hair-Merkel cell sensitive unit was developed, exhibiting ultralowdetection limit (2 Pa), high pressure sensitivity (S=23.1 kPa(-1)), wide linear detection capacity up to67.61 kPa, and fast response/recovery time (140/100 ms).”
HenanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesGesture RecognitionMachine LearningZhengzho u University
NETL
NSTL
