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Standing Posture Monitoring System for the Elderly |
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| รหัสดีโอไอ | |
| Creator | Krittakom Srijiranon |
| Title | Standing Posture Monitoring System for the Elderly |
| Contributor | Patcharaporn Saenkaew, Chatchadaporn Pumthurean, Jiraporn Boonsob, Nanmanat Varisthanist, Thanapat Tardtong |
| Publisher | The Association of Council of IT Deans (CITT) |
| Publication Year | 2567 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 14 |
| Journal No. | 2 |
| Page no. | 54-61 |
| Keyword | Elderly, Raspberry Pi, MediaPipe, OpenPose |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | The elderly population is increasing rapidly in Thailand, with the majority of seniors living alone at home. Statistics reveal that, on average, four elderly individuals die each day due to falls. This research develops a standing up notification system for the elderly using Raspberry Pi to transmit motion image when they rise from bed. The image is processed using keypoint extraction, and the extracted points are used to verify the correctness of the standing posture by calculating suitable angles from various body parts. The comparison of the detection accuracy of standing postures between two libraries, MediaPipe and OpenPose, using the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) shows that MediaPipe has lower errors at 25.19 and 20.35, respectively. The accuracy of standing posture detection is further validated by calculating angles in various degrees, revealing an overall highest average accuracy of 74.55%. |
