AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights
In an era where advanced technology prevails, artificial intelligence (AI) has revolutionized health monitoring practices. This paper presents the development and implementation of a novel smartwatch designed to monitor both physiological and environmental parameters. The watch measures vital body v...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2025
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| الوصول للمادة أونلاين: | http://hdl.handle.net/11675/14504 https: |
| الوسوم: |
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| _version_ | 1870679734713581569 |
|---|---|
| author | Kassem, Reem |
| author2 | Abosedo, Rawan Nour, Amro Mohammed, Mahdi |
| author2_role | author author author |
| author_facet | Kassem, Reem Abosedo, Rawan Nour, Amro Mohammed, Mahdi |
| author_role | author |
| dc.creator.none.fl_str_mv | Kassem, Reem Abosedo, Rawan Nour, Amro Mohammed, Mahdi |
| dc.date.none.fl_str_mv | 2025-11-01 2026-06-03T10:09:33Z 2026-06-03T10:09:33Z |
| dc.identifier.none.fl_str_mv | 10.23919/PIERS-Fall62445.2025.11394222 9784885523632 http://hdl.handle.net/11675/14504 https: www.scopus.com/pages/publications/105035833042 |
| dc.relation.none.fl_str_mv | Electrical and Computer Engineering |
| dc.title.none.fl_str_mv | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| dc.type.none.fl_str_mv | Conference Paper info:eu-repo/semantics/publishedVersion |
| description | In an era where advanced technology prevails, artificial intelligence (AI) has revolutionized health monitoring practices. This paper presents the development and implementation of a novel smartwatch designed to monitor both physiological and environmental parameters. The watch measures vital body values such as heart rate and blood oxygen saturation levels, and upon detecting any irregularities, it assesses environmental factors such as temperature, humidity, and the levels of different gases in the air. The correlation between health irregularities and environmental parameters is done through the integration of AI, providing the user with personalized health insights and recommendations. The results demonstrate that the device functions effectively, showcasing its capability for real-time monitoring and early detection. This paper goes into detail about the purpose, design, functionality, applications, and future works of our smartwatch, highlighting its significance in health monitoring. |
| id | AUKR_265b36e68096b9e80fddb308d41ffb80 |
| identifier_str_mv | 10.23919/PIERS-Fall62445.2025.11394222 9784885523632 www.scopus.com/pages/publications/105035833042 |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/14504 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized InsightsKassem, ReemAbosedo, RawanNour, AmroMohammed, MahdiIn an era where advanced technology prevails, artificial intelligence (AI) has revolutionized health monitoring practices. This paper presents the development and implementation of a novel smartwatch designed to monitor both physiological and environmental parameters. The watch measures vital body values such as heart rate and blood oxygen saturation levels, and upon detecting any irregularities, it assesses environmental factors such as temperature, humidity, and the levels of different gases in the air. The correlation between health irregularities and environmental parameters is done through the integration of AI, providing the user with personalized health insights and recommendations. The results demonstrate that the device functions effectively, showcasing its capability for real-time monitoring and early detection. This paper goes into detail about the purpose, design, functionality, applications, and future works of our smartwatch, highlighting its significance in health monitoring.2026-06-03T10:09:33Z2026-06-03T10:09:33Z2025-11-01Conference Paperinfo:eu-repo/semantics/publishedVersion10.23919/PIERS-Fall62445.2025.113942229784885523632http://hdl.handle.net/11675/14504https:www.scopus.com/pages/publications/105035833042Electrical and Computer Engineeringoai:dspace.auk.edu.kw:11675/145042026-06-11T11:57:16Z |
| spellingShingle | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights Kassem, Reem |
| status_str | publishedVersion |
| title | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| title_full | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| title_fullStr | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| title_full_unstemmed | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| title_short | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| title_sort | AI-driven Personal Remote Sensing Smartwatch for Respiratory and Environmental Health Assessment and Personalized Insights |
| url | http://hdl.handle.net/11675/14504 https: |