Elderly care monitoring system with IoT application
Falls among elderly can pose serious consequences such as injury or even fatal ones. Therefore, it is essential that fall are detected early and away to that is by using IoT platform. The authors have been developing a wearable device for elderly monitoring system utilizing accelerometer. The data f...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Section |
| Language: | English |
| Published: |
Springer Nature
2020
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2852/1/Elderly%20care%20monitoring%20system.pdf |
| _version_ | 1825709746571706368 |
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| author | Bong, Jia Cheng Abdul Jamil, Muhammad Mahadi Ambar, Radzi Abd Wahab, Mohd Helmy |
| author2 | Oscar, Castillo |
| author_facet | Oscar, Castillo Bong, Jia Cheng Abdul Jamil, Muhammad Mahadi Ambar, Radzi Abd Wahab, Mohd Helmy |
| author_sort | Bong, Jia Cheng |
| collection | UTHM |
| description | Falls among elderly can pose serious consequences such as injury or even fatal ones. Therefore, it is essential that fall are detected early and away to that is by using IoT platform. The authors have been developing a wearable device for elderly monitoring system utilizing accelerometer. The data from accelerometer is connected to an Internet-of-Things (IoT) platform called ThingSpeakTM. Based on IoT platform, elderly patients can be remotely monitored as long as the care providers have good internet access. The paper presents the experimental results of determining the sensitivity and specificity of the accelerometer used in the proposed system. This is the first step for developing an accurate data acquisition for monitoring purposes. Based on the experimental results, the average percentage for sensitivity obtained for this device is 73.3%, while the average for specificity obtained is 89.3%. Both sensitivity and specificity tests shows promising results which indicates that the device only has a fail rate of 26.7% and error rate of 10.7%. |
| first_indexed | 2024-03-05T21:44:08Z |
| format | Book Section |
| id | uthm.eprints-2852 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:44:08Z |
| publishDate | 2020 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | uthm.eprints-28522022-01-02T06:38:55Z http://eprints.uthm.edu.my/2852/ Elderly care monitoring system with IoT application Bong, Jia Cheng Abdul Jamil, Muhammad Mahadi Ambar, Radzi Abd Wahab, Mohd Helmy TK7800-8360 Electronics Falls among elderly can pose serious consequences such as injury or even fatal ones. Therefore, it is essential that fall are detected early and away to that is by using IoT platform. The authors have been developing a wearable device for elderly monitoring system utilizing accelerometer. The data from accelerometer is connected to an Internet-of-Things (IoT) platform called ThingSpeakTM. Based on IoT platform, elderly patients can be remotely monitored as long as the care providers have good internet access. The paper presents the experimental results of determining the sensitivity and specificity of the accelerometer used in the proposed system. This is the first step for developing an accurate data acquisition for monitoring purposes. Based on the experimental results, the average percentage for sensitivity obtained for this device is 73.3%, while the average for specificity obtained is 89.3%. Both sensitivity and specificity tests shows promising results which indicates that the device only has a fail rate of 26.7% and error rate of 10.7%. Springer Nature Oscar, Castillo Kumar, Dipak Jana, Debasis Ahmed, GiriArif 2020 Book Section PeerReviewed text en http://eprints.uthm.edu.my/2852/1/Elderly%20care%20monitoring%20system.pdf Bong, Jia Cheng and Abdul Jamil, Muhammad Mahadi and Ambar, Radzi and Abd Wahab, Mohd Helmy (2020) Elderly care monitoring system with IoT application. In: Recent Advances in Intelligent Information Systems and Applied Mathematics. Springer Nature, pp. 525-537. ISBN 978-3-030-34151-0 |
| spellingShingle | TK7800-8360 Electronics Bong, Jia Cheng Abdul Jamil, Muhammad Mahadi Ambar, Radzi Abd Wahab, Mohd Helmy Elderly care monitoring system with IoT application |
| title | Elderly care monitoring system with IoT application |
| title_full | Elderly care monitoring system with IoT application |
| title_fullStr | Elderly care monitoring system with IoT application |
| title_full_unstemmed | Elderly care monitoring system with IoT application |
| title_short | Elderly care monitoring system with IoT application |
| title_sort | elderly care monitoring system with iot application |
| topic | TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/2852/1/Elderly%20care%20monitoring%20system.pdf |
| work_keys_str_mv | AT bongjiacheng elderlycaremonitoringsystemwithiotapplication AT abduljamilmuhammadmahadi elderlycaremonitoringsystemwithiotapplication AT ambarradzi elderlycaremonitoringsystemwithiotapplication AT abdwahabmohdhelmy elderlycaremonitoringsystemwithiotapplication |