A Real-Time Sensing of Gait and Viewing Direction for Human Interaction in Virtual Training Applications
This paper presents an integrated framework for real-time sensing and synchronization of both user’s moving speed with direction and viewing direction in walking-in-place experience for virtual training applications. The framework consists of two inertial measurement units (IMU) attached to each shank and a HMD made up of Android mobile device with 3-axis orientation sensor. Although there are several prior works to enable unconstrained omnidirectional walking through virtual environments, an implementation of the low cost interface solution using wearable devices is an important issue for virtual training systems. We provide a simplified technique for implementing ‘Walking in Virtual Reality’ without omnidirectional treadmill. In addition, this research aims to lightweight (in point of software) and portable (in point of hardware) solution to implement the Virtual Reality Walk-In-Place(VR WIP) interface for training applications.
KeywordsVirtual reality Virtual training Walking-in-place Walking recognition Wearable sensor IMU
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the “IT Consilience Creative Program” (NIPA-2014-H0201-14-1002) supervised by the NIPA(National IT Industry Promotion Agency).
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