Skeletonographer: Skeleton-based Digital Ethnography Tool.

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Understanding natural human behaviours in-the-wild are highly valued in HCI and CSCW communities. However, it is challenging to collect and analyze the field data due to public privacy. We present Skeletonographer, the tool that supports anonymous digital ethnography studies using skeletonized representations of people. Our system utilizes computer vision techniques to generate and visualize skeletons from video. Users can play back the skeleton data similar to a video player, and apply custom labels for analysis. We applied this tool to our project as a case study, and proved its feasibility to act as an ethnographic research tool.
Publisher
ACM
Issue Date
2019-11-09
Language
English
Citation

CSCW '19, pp.14 - 17

DOI
10.1145/3311957.3359510
URI
http://hdl.handle.net/10203/272313
Appears in Collection
ID-Conference Papers(학술회의논문)
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