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

Balakrishnan Nagaraj,Zhao Feng,Taile Ni,Jinlong Wu

doi:10.1155/2021/3603693

Balakrishnan Nagaraj, Zhao Feng + Show 2 more

Open Access

https://doi.org/10.1155/2021/3603693

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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.

Highlights

With the wide use of computer and Internet in people’s daily life, it is generally believed that the human-computer interaction technology, which is widely used at present with the mouse, keyboard, or touch screen as the interactive means, will become the bottleneck for the further effective utilization of information flow
Gesture interaction technology has a wide range of application fields and broad application prospects because of its natural, intuitive, and easy to learn characteristics
In the tracking algorithm of multifeature gesture recognition, line of sight selection can be understood as the control of gesture capture points

Summary

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. 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. 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. 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

Introduction

Research Methods

Conclusions