Infrared motion detection and electromyographic gesture recognition for navigating 3D environments

Chen, KY;Liang, HN;Yue, Y;Craig, P

[Chen, Keyu; Liang, Hai-Ning; Yue, Yong; Craig, Paul] Xian Jiaotong Liverpool Univ, Dept Comp Sci & Software Engn, Suzhou, Peoples R China.

COMPUTER ANIMATION AND VIRTUAL WORLDS

Volume:29 Issue:3-4

DOI:10.1002/cav.1829

Publication Year:2018

JCR:Q4

CAS JCR:4区

ESI Discipline:COMPUTER SCIENCE

Latest Impact Factor:1.02

Document Type:Conference Paper

Identifier:http://hdl.handle.net/20.500.12791/008327

Abstract

This research explores the suitability and effectiveness of two relatively new types of input device for navigating 3D virtual environments. These are infrared motion detection, like the Leap Motion tracker, and electromyographic gesture recognition, like the Myo Armband. Despite the introduction of a variety of new input devices intended to provide a more natural interaction experience, navigation within 3D virtual environments is still normally done on more traditional control devices such as game controllers or the keyboard-mouse combination. This study investigates the potential of new devices to support navigation in 3D environments through an experiment conducted with 27 participants using three different types of input devices to play a ball-balancing maze-like game. The input devices tested are a standard game controller, a Leap Motion tracker for infrared motion detection, and the Myo Armband for electromyographic gesture recognition. Results demonstrated the real potential of both types of device to support navigation interaction within 3D environments.

Keywords

3D environments input devices Leap Motion mid-air interaction Myo Armband navigation user studies

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