On the Advantages of Hand Gesture Recognition with Data Gloves for Gaming Applications

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-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 languageEnglish
Title of host publication2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages313-315
Number of pages3
ISBN (electronic)978-1-6654-5381-3
ISBN (print)978-1-6654-5382-0
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesIEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

Conference

Title2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
Duration13 - 17 March 2023
CityAtlanta
CountryUnited States of America

External IDs

ORCID /0000-0001-7008-1537/work/150884067