Human-AI Collaboration in Health and Wellness: A Case of Telemonitoring and Telerehabilitation Platform for Disabled, Elderly, and Post-Stroke Care
2
Issued Date
2025-01-01
Resource Type
ISSN
23673370
eISSN
23673389
Scopus ID
2-s2.0-105015958320
Journal Title
Lecture Notes in Networks and Systems
Volume
1380 LNNS
Start Page
483
End Page
495
Rights Holder(s)
SCOPUS
Bibliographic Citation
Lecture Notes in Networks and Systems Vol.1380 LNNS (2025) , 483-495
Suggested Citation
Anutariya C., Wisedsri P., Silpasuwanchai C., Ekpanyapong M., Taparugssanagorn A., Senadeera S.D.A.P., Vachalathiti R., Bovonsunthonchai S. Human-AI Collaboration in Health and Wellness: A Case of Telemonitoring and Telerehabilitation Platform for Disabled, Elderly, and Post-Stroke Care. Lecture Notes in Networks and Systems Vol.1380 LNNS (2025) , 483-495. 495. doi:10.1007/978-981-96-5822-0_38 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/112225
Title
Human-AI Collaboration in Health and Wellness: A Case of Telemonitoring and Telerehabilitation Platform for Disabled, Elderly, and Post-Stroke Care
Author's Affiliation
Corresponding Author(s)
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Abstract
As the global population of elderly and disabled individuals continues to grow, innovative solutions are urgently needed to improve their safety, mobility, independence, and well-being, while reducing caregiving burdens and enhancing healthcare outcomes. This paper presents a telemonitoring and telerehabilitation platform that demonstrates the transformative potential of Human-AI collaboration to address these critical needs. The paper focuses on the platform’s architectural and technological design to tackle the unique challenges faced by these vulnerable groups, emphasizing AI’s role in decision support, personalized care, and rehabilitation. The platform comprises four key components: a wearable Raman Spectroscopy system for non-invasive blood glucose monitoring, fall detection systems using video analytics, deep learning, and radio frequency signals for rapid caregiver alerts, bimanual rehabilitation technologies to aid physical therapy and improve recovery, and a cloud-based system for managing and analyzing health and rehabilitation data to provide valuable insights and facilitate personalized care.