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doi:10.22028/D291-28225
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: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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