Fig. 4: AFMS for motion monitoring and AI wearable electronics.

a Schematic diagram of wearable application scenarios of the AFMS. b Response time and recovery time of the AFMS. c Current-time signals collected by the AFMS attached on the finger surface during bending. d Gestures recognition through the resistance change rate by the AFMSs attached on the five finger surfaces. e Five types of throat motion responses including speaking (“Goodbye” and “Hello”), swallowing- and coughing-related signals. f Model training and identification process, wherein the pre-collected data are divided into a training set and a testing set with respect to a ratio of 8:2 for 5-fold cross validation. g Confusion matrix of identification for throat motion signals. h Classification results of a 58 s continuous signal containing four types of throat motions.