TY - GEN
T1 - A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions
AU - Lin, Yuan Heng
AU - Chien, Yi Hsing
AU - Hsu, Min Jie
AU - Wang, Wei Yen
AU - Lu, Cheng Kai
AU - Hsu, Chen Chien
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we apply wireless technologies to implement automatic abnormal event detection and E-clinical cart information systems for long-term care institutions. The E-clinical cart can follow medical personnel, easing the physical workload of manually pushing the clinical cart. For autonomous patrol work, some abnormal actions, such as falls and squats, can be detected using the proposed human action recognition with few-shot data. Moreover, the proposed monitoring platform with a graphical user interface (GUI) can improve the E-quality and efficiency of nursing work. The experimental results show that the intelligent data monitoring system can effectively carry out the task assignment of the E-clinical cart and event monitoring and warning in long-term care institutions.
AB - In this paper, we apply wireless technologies to implement automatic abnormal event detection and E-clinical cart information systems for long-term care institutions. The E-clinical cart can follow medical personnel, easing the physical workload of manually pushing the clinical cart. For autonomous patrol work, some abnormal actions, such as falls and squats, can be detected using the proposed human action recognition with few-shot data. Moreover, the proposed monitoring platform with a graphical user interface (GUI) can improve the E-quality and efficiency of nursing work. The experimental results show that the intelligent data monitoring system can effectively carry out the task assignment of the E-clinical cart and event monitoring and warning in long-term care institutions.
KW - E-clinical cart
KW - data monitoring system
KW - long-term care institutions
KW - real-time human action recognition
UR - http://www.scopus.com/inward/record.url?scp=85174903838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174903838&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Taiwan58799.2023.10226729
DO - 10.1109/ICCE-Taiwan58799.2023.10226729
M3 - Conference contribution
AN - SCOPUS:85174903838
T3 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
SP - 51
EP - 52
BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Y2 - 17 July 2023 through 19 July 2023
ER -