[논문]Customization using Anthropometric Data Deep Learning Model-Based Beauty Service System

Wu, Zhenzhen; Lim, Byeongyeon; Jung, Hoekyung

doi:10.6109/jicce.2021.19.2.73

[국내논문] Customization using Anthropometric Data Deep Learning Model-Based Beauty Service System 원문보기

Journal of information and communication convergence engineering, v.19 no.2, 2021년, pp.73 - 78

Wu, Zhenzhen (Weifang University of Science and Technology) , Lim, Byeongyeon (Department of Computer Engineering, Paichai, University) , Jung, Hoekyung (Department of Computer Engineering, Paichai, University)

Abstract ▼ AI-Helper

As interest in beauty has increased, various studies have been conducted, and related companies have considered the anthropometric data handled between humans and interfaces as an important factor. However, owing to the nature of 3D human body scanners used to extract anthropometric data, it is difficult to accurately analyze a user's body shape until a service is provided because the user only scans and extracts data. To solve this problem, the body shape of several users was analyzed, and the collected anthropometric data were obtained using a 3D human body scanner. After processing the extracted data and the anthropometric data, a custom deep learning model was designed, the designed model was learned, and the user's body shape information was predicted to provide a service suitable for the body shape. Through this approach, it is expected that the user's body shape information can be predicted using a 3D human body scanner, based upon which a beauty service can be provide.

주제어

표/그림 (14)

그림 Fig. 1. Complete system flow chart.
그림 Fig. 2. Data preprocessing design flow chart.
그림 Fig. 3. Distribution plot for variables.
그림 Fig. 4. Model design flow chart.
그림 Fig. 5. Softmax function accuracy.
그림 Fig. 6. Sigmoid function accuracy.
그림 Fig. 7. ReLU function accuracy.
표 Table 1. System comparison
그림 Fig. 8. Momentum accuracy.
그림 Fig. 9. Adagrad accuracy.
그림 Fig. 10. Adam accuracy.
그림 Fig. 11. Epoch 300 Accuracy.
그림 Fig. 12. Prediction result value.
표 Table 2. Test anthropometric data

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