Application of Artificial Intelligence in Hand Gesture Recognition with Virtual Reality: Survey and Analysis of Hand Gesture Hardware Selection

TL;DR

This survey reviews AI-based hand gesture recognition hardware and datasets in virtual reality, analyzing current methods, challenges, and future research directions to enhance immersive HCI experiences.

Contribution

It provides a comprehensive analysis of hardware options, datasets, and future research directions for AI-driven hand gesture recognition in virtual reality.

Findings

Hardware tools have specific advantages and disadvantages.

Popular datasets facilitate data pre-processing and detection.

Future research should focus on noise filtering, lightweight networks, tactile feedback, and multimodal data integration.

Abstract

The ongoing usage of artificial intelligence technologies in virtual reality has led to a large number of researchers exploring immersive virtual reality interaction. Gesture controllers and head-mounted displays are the primary pieces of hardware used in virtual reality applications. This article analyzes the advantages and disadvantages of various hardware tools as well as possible use cases for hand gesture recognition. Several popular data sets used in data pre-processing and hand gesture detection systems are also summarized. This paper's primary objectives are to evaluate the current state of the art in gesture recognition research and to offer potential routes for future study to guide researchers working on immersive virtual reality interaction. Comparing recent study results and taking into account the state of the development of human-computer interaction technology, a number of potential research directions are highlighted, including the following: input data noise should be filtered, a lightweight network should be designed, tactile feedback should be created, and eye and gesture data should be combined.