TY - GEN
T1 - A Multi-Node Body-Channel-Communication System Using Adaptive Gain Control with ExG Readout ICs for Moving VR Users
AU - Lee, Dongyoon
AU - Cheon, Song I.
AU - Cho, Hyungjoo
AU - Park, Seonghyun
AU - Chun, Jiho
AU - Choi, Haidam
AU - Yun, Gichan
AU - Cho, Yoonsang
AU - Ha, Sohmyung
AU - Je, Minkyu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Virtual reality (VR) and extended reality (XR) technologies have been utilized to enhance realism in gaming, exercise, military training, and other applications beyond spatial constraints. Besides visual advancements, it is crucial to monitor the movements of each arm and leg in real time for practical human motion analysis. However, connecting the modules on each limb using wires limits the user's movement and causes user inconvenience, and wireless connection suffers from high power consumption, which hinders the development of wearable and long-lasting solutions. By employing body-channel communication (BCC), we can achieve user's free and comfortable movement, high energy efficiency, and low cost, all at the same time. It also enables real-time, wireless acquisition of electromyography (EMG) signals from all the arms and legs, as well as electrocardiogram (ECG) signals, without the constraints of wires.
AB - Virtual reality (VR) and extended reality (XR) technologies have been utilized to enhance realism in gaming, exercise, military training, and other applications beyond spatial constraints. Besides visual advancements, it is crucial to monitor the movements of each arm and leg in real time for practical human motion analysis. However, connecting the modules on each limb using wires limits the user's movement and causes user inconvenience, and wireless connection suffers from high power consumption, which hinders the development of wearable and long-lasting solutions. By employing body-channel communication (BCC), we can achieve user's free and comfortable movement, high energy efficiency, and low cost, all at the same time. It also enables real-time, wireless acquisition of electromyography (EMG) signals from all the arms and legs, as well as electrocardiogram (ECG) signals, without the constraints of wires.
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U2 - 10.1109/A-SSCC60305.2024.10849111
DO - 10.1109/A-SSCC60305.2024.10849111
M3 - Conference contribution
AN - SCOPUS:85218192203
T3 - 2024 IEEE Asian Solid-State Circuits Conference, A-SSCC 2024
BT - 2024 IEEE Asian Solid-State Circuits Conference, A-SSCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Asian Solid-State Circuits Conference, A-SSCC 2024
Y2 - 18 November 2024 through 21 November 2024
ER -