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논문검색

Automatic Detection of Work Distraction with Deep Learning Technique for Remote Management of Telecommuting

원문정보

초록

영어

In this paper, we propose an automatic detection scheme of work distraction for remote management of telecommuting. The proposed scheme periodically captures two consequent computer screens and generates the difference image of these two captured images. The scheme applies the difference image to our deep learning model and makes a decision of abnormal patterns in the difference image. Our deep learning model is designed with the transfer learning technique of VGG16 deep learning. When the scheme detects an abnormal pattern in the difference image, it hides all texts in the difference images to protect disclosure of privacy-related information. Evaluation shows that the proposed scheme provides about 96% detection accuracy.

목차

Abstract
1. Introduction
2. System Model
3. Proposed Scheme
4. Evaluation
5. Conclusions
Acknowledgements
References

저자정보

  • Wan Yeon Lee Professor, Dept. of Computer Science, Dongduk Women’s University, Seoul 02748, South Korea

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