Fig. 3: The characterization of T-TENG socks and preliminary gait analysis.
From: Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications
a Schematics of four phases of a typical contact cycle and b corresponding signals of normal walking (right foot). c, d The real-time healthcare monitoring of mimetic walking pattern of Parkinson’s disease patient and gait signals of a fall-down event. e, f The maximum output powers of a single sock on right foot under 1 Hz walking and 2 Hz running were tested by changing the external load resistances from 0.1 to 100 MΩ. g Charging curve of different capacitors (i.e., 1, 4.7, 10, and 27 μF) were charged to 5 V. h Charging and discharging curve with the socks on foot, where each voltage drop represents a discharging to the Bluetooth module. i Monitoring the temperature on armpit under various exercise intensities by Bluetooth module.
