Fig. 1: Design of the deep-learned skin-like sensor.
From: A deep-learned skin sensor decoding the epicentral human motions
a Schematic depicting the possible flow of information through our body. The information may include foot, knee, hand, arm, gait, and also face expressions. b Illustration of measuring the epicentral motions of fingers. Upper left image depicts the measurement of the topographical change of the wrist caused by the finger motions. Lower right image shows the SEM image of the cracked region of the sensor. Scale bar, 40 μm. c Magnified image of the sensor conformably attached on skin. Scale bar 1 mm. d Design of the proposed sensory system.
