VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise

Sari, Sercan and Kucukyilmaz, Ayse (2019) VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise. In: MobiWIS 2019: International Conference on Mobile Web and Intelligent Information Systems, 26-28 August 2019, Istanbul.

Full content URL: http://doi.org/10.1007/978-3-030-27192-3_20

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VR-Fit: Walking-in-Place Locomotion with Real Time Step Detection for VR-Enabled Exercise
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Item Type:Conference or Workshop contribution (Paper)
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Abstract

With recent advances in mobile and wearable technologies, virtual reality (VR) found many applications in daily use. Today, a mobile device can be converted into a low-cost immersive VR kit thanks to the availability of do-it-yourself viewers in the shape of simple cardboards and compatible software for 3D rendering. These applications involve interacting with stationary scenes or moving in between spaces within a VR environment. VR locomotion can be enabled through a variety of methods, such as head movement tracking, joystick-triggered motion and through mapping natural movements to translate to virtual locomotion. In this study, we implemented a walk-in-place (WIP) locomotion method for a VR-enabled exercise application. We investigate the utility of WIP for exercise purposes, and compare it with joystick-based locomotion in terms of step performance and subjective qualities of the activity, such as enjoyment, encouragement for exercise and ease of use. Our technique uses vertical accelerometer data to estimate steps taken during walking or running, and locomotes the user’s avatar accordingly in virtual space. We evaluated our technique in a controlled experimental study with 12 people. Results indicate that the way users control the simulated locomotion affects how they interact with the VR simulation, and influence the subjective sense of immersion and the perceived quality of the interaction. In particular, WIP encourages users to move further, and creates a more enjoyable and interesting experience in comparison to joystick-based navigation.

Keywords:Virtual reality, Locomotion, Walking-in-place, Head-mounted displays, Mobile VR, Motion analysis, Position tracking
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Computer Science
ID Code:36870
Deposited On:05 Sep 2019 08:24

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