|
Shoulder Angle Measurement (SAM) systemfor home-based rehabilitation using computer vision with a web camera |
|---|---|
| รหัสดีโอไอ | |
| Creator | 1. Sunthorn Rungruangbaiyok 2. Rakkrit Duangsoithong 3. Kanadit Chetpattananondh |
| Title | Shoulder Angle Measurement (SAM) systemfor home-based rehabilitation using computer vision with a web camera |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2564 |
| Journal Title | Songklanakarin Journal of Science an Technology (SJST) |
| Journal Vol. | 43 |
| Journal No. | 5 |
| Page no. | 1317-1328 |
| Keyword | shoulder angle measurement, image detection, rehabilitation, TAN Scale, goniometer |
| URL Website | https://rdo.psu.ac.th/sjst/index.php |
| ISSN | 0125-3395 |
| Abstract | Most of the patients suffering from shoulder movement impairment have some problems in daily life. Consequently,shoulder movement rehabilitation plays an important role for them and needs to be evaluated in continued treatments of theshoulder. In addition to the cost of treatment, the travel expenses to visit a hospital are also increasing. This paper proposes ashoulder angle measurement (SAM) system using computer vision with a web camera. The system detects arm in an image andcalculates active shoulder angle movement. A correlation analysis of the measured shoulder angle between the SAM system andtwo devices, namely ATAN Scale (Adapted Thai Arthrometric Navigator Scale) and a goniometer, was performed. The Pearsoncorrelations between the SAM system and the two devices were close to one. The maximum full-scale errors were 5.03 and 3.69on comparing to the ATAN Scale and the goniometer, respectively. |
