Earticle

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

저자

• Yong Min Cho [ Dept. of Computer Science & Engineering Kyungnam University ]
• Beom Mo Kim [ Dept. of Computer Science & Engineering Kyungnam University ]
• Gyu Tae Park [ Dept. of Computer Science & Engineering Kyungnam University ]
• Byung-Joo Shin [ Dept. of Computer Science & Engineering Kyungnam University ] Corresponding Author
• Yun Seok Choi [ Dept. of Computer Science & Engineering Kyungnam University ]

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