The Application of Body-movement Identification Technology in Judging the Agility of the Elderly
| Autor: | Chi-Yao Liao, 廖啟堯 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 This study is a simple detection method and system for Sarcopenia, which uses the sensor of body-movement recognition device to capture the walking image of the tested person. The chipset of the body-movement sensing device converts the walking image into a 3D stepped depth image. The body-movement recognition unit calculates the time required for the maximum distance between the stride steps image to obtain the walking speed value of the tested person. The body-movement recognition device sensor captures the side-view image of the stepping at the same place of the tested person. The body-movement chipset will detect the heights of the stepping legged image of the tested person. The body-movement recognition unit creates an image database of massive multiple sample images. Each sample image has different image characteristics of its deformation amplitude of the tested person due to the leg lift angle. Each sample image defines a leg lift coordinate value. The body-movement recognition unit compares the sample images corresponding to the leg-lifting images in the image database and then reads the corresponding angles. When the tested person’s walking speed is lower than the preset walking speed value and the leg lift angle is lower than the preset angle value, the subject is judged to be a suspected Sarcopenia patient, so that the purpose of automated detection of Sarcopenia can be achieved. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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