GestureLens: Visual Analysis of Gestures in Presentation Videos
Haipeng Zeng, Xingbo Wang, Yong Wang, Aoyu Wu, Ting Chuen Pong and, Huamin Qu

TL;DR
GestureLens is a visual analytics system designed to help presentation coaches analyze and explore gesture usage in videos, revealing spatial, temporal, and speech-gesture correlations to improve public speaking skills.
Contribution
We introduce GestureLens, a novel visual analytics tool that enables efficient, multi-faceted exploration of gestures in presentation videos, addressing the challenge of complex temporal and spatial gesture analysis.
Findings
Effective in revealing spatial and temporal gesture patterns.
Facilitates exploration of speech-gesture relationships.
Validated through expert interviews and usage scenarios.
Abstract
Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this paper, we contribute a visual analytic approach that assists professional public speaking coaches in improving their practice of gesture training through analyzing presentation videos. Manually checking and exploring gesture usage in the presentation videos is often tedious and time-consuming. There lacks an efficient method to help users conduct gesture exploration, which is challenging due to the intrinsically temporal evolution of gestures and their complex correlation to speech content. In this paper, we propose GestureLens, a visual analytics system to facilitate gesture-based and content-based exploration of gesture usage in presentation videos. Specifically, the exploration view enables users to obtain a quick overview of the spatial and temporal…
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