TY - GEN
T1 - Wearable Human Computer Interface for Control Within Immersive VAMR Gaming Environments Using Data Glove and Hand Gestures
AU - Wilk, Mariusz P.
AU - Torres-Sanchez, Javier
AU - Tedesco, Salvatore
AU - O'Flynn, Brendan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/30
Y1 - 2018/10/30
N2 - The continuous advances in the state-of-the-art in the Virtual, Augmented, and Mixed Reality (V AMR) technology are important in many application spaces, including gaming, entertainment, and media technologies. V AMR is part of the broader Human-Computer Interface (HCI) area focused on providing an unprecedentedly immersive way of interacting with computers. These new ways of interacting with computers can leverage the emerging user input devices. In this paper, we present a demonstrator system that shows how our wearable Virtual Reality (VR) Glove can be used with an off-the-shelf head-mounted VR device, the RealWear HMT-1™. We show how the smart data capture glove can be used as an effective input device to the HMT-1 ™ to control various devices, such as virtual controls, simply using hand gesture recognition algorithms. We describe our fully functional proof-of-concept prototype, along with the complete system architecture and its ability to scale by incorporating other devices.
AB - The continuous advances in the state-of-the-art in the Virtual, Augmented, and Mixed Reality (V AMR) technology are important in many application spaces, including gaming, entertainment, and media technologies. V AMR is part of the broader Human-Computer Interface (HCI) area focused on providing an unprecedentedly immersive way of interacting with computers. These new ways of interacting with computers can leverage the emerging user input devices. In this paper, we present a demonstrator system that shows how our wearable Virtual Reality (VR) Glove can be used with an off-the-shelf head-mounted VR device, the RealWear HMT-1™. We show how the smart data capture glove can be used as an effective input device to the HMT-1 ™ to control various devices, such as virtual controls, simply using hand gesture recognition algorithms. We describe our fully functional proof-of-concept prototype, along with the complete system architecture and its ability to scale by incorporating other devices.
KW - Augmented Reality
KW - Control
KW - Hand Gesture Recognition
KW - Human Computer Interface
KW - Immersive Environment
KW - Mixed Reality
KW - RealWear HMT-l™
KW - Virtual Reality
KW - VR Glove
UR - https://www.scopus.com/pages/publications/85057067399
U2 - 10.1109/GEM.2018.8516521
DO - 10.1109/GEM.2018.8516521
M3 - Conference proceeding
AN - SCOPUS:85057067399
T3 - 2018 IEEE Games, Entertainment, Media Conference, GEM 2018
SP - 213
EP - 219
BT - 2018 IEEE Games, Entertainment, Media Conference, GEM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Games, Entertainment, Media Conference, GEM 2018
Y2 - 15 August 2018 through 17 August 2018
ER -