W. Zong et al., "Predicting Human Body Measurements Using MediaPipe Pose Auto-Capture", Proc. of 3DBODY.TECH 2023 - 14th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 17-18 Oct. 2023, #33, https://doi.org/10.15221/23.33.

Title:

Predicting Human Body Measurements Using MediaPipe Pose Auto-Capture

Authors:

Wenjia ZONG 1, Jianyi YANG 2, Fatma BAYTAR 1

1 Department of Human Centered Design, Cornell University, Ithaca NY, USA;
2 Lacuna Technology LLC, Irvine CA, USA

Abstract:

Anthropometry plays a crucial role in understanding the human body and its variations, contributing to advancements in various fields such as health, sports, and design. However, the current practices for identifying human body shapes for apparel production and design are limited. This study aims to address this gap by utilizing MediaPipe Pose to recognize human body measurements based on front and side poses, laying the foundation for a novel clothing sizing system. We used MediaPipe's framework for auto-capturing poses and visual recognition to identify human body outlines. The width, depth, and height of the shoulders, chest, waist, and hip were calculated based on user input height. The body scan comparison from the pilot test data suggested that the captured outline tended to underestimate widths more than depths, particularly for the female subject. Future studies may collect and manually verify a large amount of picture data and corresponding body data to develop an AI model for human body shape categorization.

Keywords:

body measurement prediction, MediaPipe, image auto-capture

Details/PDF/VIDEO:

Full paper: PDF
Presentation: VIDEO
Proceedings: 3DBODY.TECH 2023, 17-18 Oct. 2023, Lugano, Switzerland
Paper id#: 33
DOI: 10.15221/23.33

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