On the Advantages of Hand Gesture Recognition with Data Gloves for Gaming Applications
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Recognizing hand gestures is a prerequisite for human-machine interaction, e.g., in gaming and surgery training applications. Compared to vision-based recognition, methods based on data gloves, e.g., using IMU sensors, have several advantages in flexibility and responsiveness. The goal is to quickly and accurately recognize hand gestures while minimizing the number of employed sensors. There are, however, several challenges, both in the combination of hardware and software solutions and in gesture design and respective recognition algorithms. In this study, we explore the advantages of using data gloves in gaming with a minimum number of sensors per finger. We demonstrate that users wearing the data gloves can accurately control an actor in a video game in perceived real-time.
Details
Original language | English |
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Title of host publication | 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 313-315 |
Number of pages | 3 |
ISBN (electronic) | 978-1-6654-5381-3 |
ISBN (print) | 978-1-6654-5382-0 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
Publication series
Series | IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom) |
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Conference
Title | 21st International Conference on Pervasive Computing and Communications |
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Abbreviated title | PerCom 2023 |
Conference number | 21 |
Duration | 13 - 17 March 2023 |
Website | |
Degree of recognition | International event |
Location | Georgia State University |
City | Atlanta |
Country | United States of America |
External IDs
ORCID | /0000-0001-7008-1537/work/150884067 |
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ORCID | /0000-0001-8469-9573/work/161891056 |
ORCID | /0000-0002-4590-1908/work/163294008 |
Keywords
ASJC Scopus subject areas
Keywords
- data gloves, gaming, hand gesture recognition