The 10th International Conference on Next Generation Computing 2024 (2024.11)바로가기
페이지
pp.328-330
저자
Yong Min Cho, Beom Mo Kim, Gyu Tae Park, Byung-Joo Shin, Yun Seok Choi
언어
영어(ENG)
URL
https://www.earticle.net/Article/A468877
원문정보
초록
영어
Hand hygiene is crucial for disease prevention, yet maintaining effective handwahsing habits remains challenging. Within this context, in this paper we build posture recongintion AI model able to automatically analyze, in real-time, the sequence of images acquired by a camera. We adopt YOLOv8 variants to classify the movement of the worker according to the six gestues defined by the World Health Organization and to evaluate the quality of the handwashing procedure. To test the our model, we use handwashing data provided by RoboFlow and an additional dataset builty by video sequences we directly capture. The results achieved on this dataset confirm the our model's effeciveness.
목차
Abstract I. INTRODUCTION II. INTRODUCTION TO YOLOV8 III. DEVELOPMENT OF POSTURE RECOGNITION MODEL IV. RESULTS V. CONCLUSION REFERENCES