A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions

Yuan Heng Lin; Yi Hsing Chien; Min Jie Hsu; Wei Yen Wang; Cheng Kai Lu; Chen Chien Hsu

doi:10.1109/ICCE-Taiwan58799.2023.10226729

A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions

Yuan Heng Lin^*, Yi Hsing Chien, Min Jie Hsu, Wei Yen Wang, Cheng Kai Lu, Chen Chien Hsu

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	51-52
Number of pages	2
ISBN (Electronic)	9798350324174
DOIs	https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226729
Publication status	Published - 2023
Event	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan Duration: 2023 Jul 17 → 2023 Jul 19

Publication series

Name	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/Territory	Taiwan
City	Pingtung
Period	2023/07/17 → 2023/07/19

Keywords

E-clinical cart
data monitoring system
long-term care institutions
real-time human action recognition

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Information Systems
Information Systems and Management
Electrical and Electronic Engineering
Media Technology
Instrumentation

Access to Document

10.1109/ICCE-Taiwan58799.2023.10226729

Cite this

Lin, Y. H., Chien, Y. H., Hsu, M. J., Wang, W. Y., Lu, C. K., & Hsu, C. C. (2023). A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions. In 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings (pp. 51-52). (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226729

A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions. / Lin, Yuan Heng; Chien, Yi Hsing; Hsu, Min Jie et al.
2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 51-52 (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lin, YH, Chien, YH, Hsu, MJ, Wang, WY, Lu, CK & Hsu, CC 2023, A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions. in 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 51-52, 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023, Pingtung, Taiwan, 2023/07/17. https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226729

Lin YH, Chien YH, Hsu MJ, Wang WY, Lu CK, Hsu CC. A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions. In 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 51-52. (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings). doi: 10.1109/ICCE-Taiwan58799.2023.10226729

Lin, Yuan Heng ; Chien, Yi Hsing ; Hsu, Min Jie et al. / A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions. 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 51-52 (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings).

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title = "A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions",

abstract = "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.",

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AU - Lu, Cheng Kai

AU - Hsu, Chen Chien

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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.

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A Data Monitoring System with Human Action Recognition for Long-Term Care Institutions

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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