Research and Application of Multifeature Gesture Recognition in Human-Computer Interaction Based on Virtual Reality Technology

Abstract

Objective. To explore the research and application of multifeature gesture recognition in virtual reality human-computer interaction and to explore the gesture recognition technology scheme to achieve better human-computer interaction experience. Methods. Through the study of the technical difficulties of gesture recognition, comparative static gesture feature recognition and feature fusion algorithms are applied, in the process of research on gesture partition, and adjust the contrast of characteristic parameters, combined with the feature of space-time dynamic gesture tracking trajectory and dynamic gesture recognition and gesture recognition effect under different scheme. Results. The central region was divided into 0 regions, and the central region was divided into 1-4 regions in counterclockwise direction. Compared with the traditional gesture changes, the overlapping problem in the four partition modes was reduced, the gesture was better displayed, and the operation and use of gesture processing were realized more efficiently. Conclusion. Gesture recognition requires the combination of static gesture feature information recognition, gesture feature fusion, spatiotemporal trajectory feature, and dynamic gesture trajectory feature to achieve a better human-computer interaction experience.