Holistically-nested edge detection in chair ergonomic detection

To choose a chair that fits the anthropometry of the body, a system is needed that can determine whether the chair has good ergonomics for the body of its use or not. This research will apply Holistically-Nested Edge Detection (HED) for the edge detection process on each part of the chair, namely th...

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Bibliographic Details
Main Authors: Nahl, Muhammad Fikrian, Dewi, Irma Amelia, Putra, Kurnia Ramadhan
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Anthropometry
Cameras
Edge detection
Ergonomics
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Summary:To choose a chair that fits the anthropometry of the body, a system is needed that can determine whether the chair has good ergonomics for the body of its use or not. This research will apply Holistically-Nested Edge Detection (HED) for the edge detection process on each part of the chair, namely the back, seat, chair legs. The results of the HED method will be in the Find Contour process to get the dimensions of the chair. After obtaining the dimensions, it will be compared with the user's body parameters to determine the ergonomics of the chair. The optimal distance and camera angle were tested to determine the level of system accuracy in determining the dimensions of the chair, as well as testing in determining the level of ergonomics to determine the accuracy of the system in determining the ergonomics of the chair. In the optimal distance test, a distance of 1 meter has the highest accuracy, which is 99.43%. In the camera angle test, the 45 degree camera angle has the highest accuracy, which is 99.69%. In the test in determining the level of ergonomics of the chair, the system obtained an accuracy of 95.92%.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0133864