Please use this identifier to cite or link to this item: doi:10.22028/D291-28225
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Title: FingerInput: Capturing Expressive Single-Hand Thumb-to-Finger Microgestures
Author(s): Soliman, Soliman
Mueller, Franziska
Hegemann, Lena
Sol Roo, Joan
Theobald, Christian
Steimle, Jürgen
Language: English
Title: Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces
Startpage: 177
Endpage: 187
Publisher/Platform: ACM
Year of Publication: 2018
Place of publication: New York
Title of the Conference: ISS '18: 2018 ACM International Conference on Interactive Surfaces and Spaces
Place of the conference: Tokyo, Japan
Publikation type: Conference Paper
Abstract: Single-hand thumb-to-finger microgestures have shown great promise for expressive, fast and direct interactions. However, pioneering gesture recognition systems each focused on a particular subset of gestures. We are still in lack of systems that can detect the set of possible gestures to a fuller extent. In this paper, we present a consolidated design space for thumb-to-finger microgestures. Based on this design space, we present a thumb-to-finger gesture recognition system using depth sensing and convolutional neural networks. It is the first system that accurately detects the touch points between fingers as well as the finger flexion. As a result, it can detect a broader set of gestures than the existing alternatives, while also providing high-resolution information about the contact points. The system shows an average accuracy of 91% for the real-time detection of 8 demanding thumb-to-finger gesture classes. We demonstrate the potential of this technology via a set of example applications.
DOI of the first publication: 10.1145/3279778.3279799
URL of the first publication: https://dl.acm.org/doi/10.1145/3279778.3279799
Link to this record: hdl:20.500.11880/27642
http://dx.doi.org/10.22028/D291-28225
ISBN: 978-1-4503-5694-7
Date of registration: 10-Aug-2019
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Jürgen Steimle
Collections:UniBib – Die Universitätsbibliographie

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