TY - GEN
T1 - Quantitative Assessment of Hand Movements for Home-Based Health Monitoring Using Wi-Fi
AU - Ding, Yi Chan
AU - Huang, Kuan Hsuan
AU - Lin, Chi Lun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Wi-Fi-based human motion sensing is characterized by its contactless, passive, and privacy-preserving nature, making it an ideal solution for home-based monitoring of motor function in patients with Parkinson’s disease. This study proposed a Wi-Fi sensing method that leverages a pair of commodity Wi-Fi devices to quantitatively assess hand movements in a daily-living environment. The results demonstrated the potential to accurately measure motion parameters associated with finger tapping and simulated hand rest tremor.
AB - Wi-Fi-based human motion sensing is characterized by its contactless, passive, and privacy-preserving nature, making it an ideal solution for home-based monitoring of motor function in patients with Parkinson’s disease. This study proposed a Wi-Fi sensing method that leverages a pair of commodity Wi-Fi devices to quantitatively assess hand movements in a daily-living environment. The results demonstrated the potential to accurately measure motion parameters associated with finger tapping and simulated hand rest tremor.
UR - https://www.scopus.com/pages/publications/85219642833
UR - https://www.scopus.com/pages/publications/85219642833#tab=citedBy
U2 - 10.1109/HEALTHCOM60970.2024.10880844
DO - 10.1109/HEALTHCOM60970.2024.10880844
M3 - Conference contribution
AN - SCOPUS:85219642833
T3 - 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
BT - 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
Y2 - 18 November 2024 through 20 November 2024
ER -
