Representation of Intractable Objects and Action Sequences in VR Using Hand Gesture Recognition
This data was imported from DBLP:
Authors: Savosin, D., Prakoonwit, S., Liang, J. and Pan, Z.
Editors: Tian, F., Gatzidis, C., Rhalibi, A.E., Tang, W. and Charles, F.
This data was imported from Scopus:
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 10345 LNCS
© 2017, Springer International Publishing AG. We propose a novel approach on using static and dynamic gesture recognition in VR games to represent interactive objects in games, such as equipment system, weapons and handy-tools. We examine various applications of gesture recognition in games, learning, medicine and VR, including how developers currently use the bundles of HDM devices paired with hand tracking sensors. The proposed approach provides game developers with a control over recording gestures and binding them to in-game intractable objects and equipment.
This data was imported from Web of Science (Lite):
Journal: E-LEARNING AND GAMES, EDUTAINMENT 2017