PenSight: Enhanced Interaction with a Pen-Top Camera

要旨

We propose mounting a downward-facing camera above the top end of a digital tablet pen. This creates a unique and practical viewing angle for capturing the pen-holding hand and the immediate surroundings which can include the other hand. The fabrication of a prototype device is described and the enabled interaction design space is explored, including dominant and non-dominant hand pose recognition, tablet grip detection, hand gestures, capturing physical content in the environment, and detecting users and pens. A deep learning computer vision pipeline is developed for classification, regression, and keypoint detection to enable these interactions. Example applications demonstrate usage scenarios and a qualitative user evaluation confirms the potential of the approach.

受賞
Best Paper
キーワード
Pen input
tablet input
hand pose estimation
著者
Fabrice Matulic
Preferred Networks Inc., Tokyo, Japan
Riku Arakawa
Preferred Networks Inc. & The University of Tokyo, Tokyo, Japan
Brian Vogel
Preferred Networks Inc., Tokyo, Japan
Daniel Vogel
University of Waterloo, Waterloo, ON, Canada
DOI

10.1145/3313831.3376147

論文URL

https://doi.org/10.1145/3313831.3376147

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Pen + Touch

Paper session
311 KAUA'I
5 件の発表
2020-04-30 23:00:00
2020-05-01 00:15:00
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