Pure Vision-Based Motion Tracking for Data-Driven Design – A Simple, Flexible, and Cost-Effective Approach for Capturing Static and Dynamic Interactions

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Sondre Hauk
Series: DESIGN
Institution: Norwegian University of Science and Technology, Norway
Section: Design Support Tools and Methods
Page(s): 485-494
DOI number: https://doi.org/10.1017/pds.2022.50
ISSN: 2732-527X (Online)


This paper presents an exploratory case study where video-based pose estimation is used to analyse human motion to support data-driven design. It provides two example use cases related to design. Results are compared to ground truth measurements showing high correlation for the estimated pose, with an RMSE of 65.5 mm. The paper exemplifies how design projects can benefit from a simple, flexible, and cost-effective approach to capture human-object interactions. This also entails the possibility of implementing interaction and body capturing in the earliest stages of design, at minimal effort.

Keywords: design methods, interaction design, vision-based body-tracking, data-driven design

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