Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place

Pfeiffer T, Schmidt A, Renner P (2016)
In: IEEE Virtual Reality 2016. Piscataway, NJ: IEEE: 265.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
While display quality and rendering for Head-Mounted-Displays (HMDs) has increased in quality and performance, the interaction capabilities with these devices are still very limited or relying on expensive technology. Current experiences offered for mobile HMDs often stick to dome-like looking around, automatic or gaze-triggered movement, or flying techniques. We developed an easy to use walking-in-place technique that does not require additional hardware to enable basic navigation, such as walking, running, or jumping, in virtual environments. Our approach is based on the analysis of data from the inertial unit embedded in mobile HMDs. In a first prototype realized for the Samsung Galaxy Gear VR we detect steps and jumps. A user study shows that users novice to virtual reality easily pick up the method. In comparison to a classic input device, using our walking-in-place technique study participants felt more present in the virtual environment and preferred our method for exploration of the virtual world.
Stichworte
Virtual Reality; Ultra Mobile Head Mounted Displays; Navigation; Walking-in-place
Erscheinungsjahr
2016
Titel des Konferenzbandes
IEEE Virtual Reality 2016
Seite(n)
265
Konferenz
2016 IEEE Virtual Reality (VR 2016)
Konferenzort
Greenville, South Carolina
Konferenzdatum
2016-03-19 – 2016-03-23
ISBN
978-1-5090-0837-7
Page URI
https://pub.uni-bielefeld.de/record/2900167

Zitieren

Pfeiffer T, Schmidt A, Renner P. Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place. In: IEEE Virtual Reality 2016. Piscataway, NJ: IEEE; 2016: 265.
Pfeiffer, T., Schmidt, A., & Renner, P. (2016). Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place. IEEE Virtual Reality 2016, 265. Piscataway, NJ: IEEE.
Pfeiffer, Thies, Schmidt, Aljoscha, and Renner, Patrick. 2016. “Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place”. In IEEE Virtual Reality 2016, 265. Piscataway, NJ: IEEE.
Pfeiffer, T., Schmidt, A., and Renner, P. (2016). “Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place” in IEEE Virtual Reality 2016 (Piscataway, NJ: IEEE), 265.
Pfeiffer, T., Schmidt, A., & Renner, P., 2016. Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place. In IEEE Virtual Reality 2016. Piscataway, NJ: IEEE, pp. 265.
T. Pfeiffer, A. Schmidt, and P. Renner, “Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place”, IEEE Virtual Reality 2016, Piscataway, NJ: IEEE, 2016, pp.265.
Pfeiffer, T., Schmidt, A., Renner, P.: Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place. IEEE Virtual Reality 2016. p. 265. IEEE, Piscataway, NJ (2016).
Pfeiffer, Thies, Schmidt, Aljoscha, and Renner, Patrick. “Detecting Movement Patterns from Inertial Data of a Mobile Head-Mounted-Display for Navigation via Walking-in-Place”. IEEE Virtual Reality 2016. Piscataway, NJ: IEEE, 2016. 265.
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