Predicting the Torso Direction from HMD Movements for Walk-in-Place Navigation through Deep Learning-Reference-Cited by-同舟云学术

Predicting the Torso Direction from HMD Movements for Walk-in-Place Navigation through Deep Learning

Published:2019-11-12 Issue: Volume: Page:
ISSN:
Container-title:25th ACM Symposium on Virtual Reality Software and Technology
language:
Short-container-title:

Author:

Lee Juyoung¹,Pastor Andreas²,Hwang Jae-In³,Kim Gerard Jounghyun⁴

Affiliation:

1. Korea University, Republic of Korea

2. University of Nantes

3. Korea Institute of Science and Technology

4. Korea University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3359996.3364709

Reference8 articles.

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2. LLCM-WIP: Low-Latency, Continuous-Motion Walking-in-Place

3. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9 8 (1997) 1735–1780. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9 8 (1997) 1735–1780.

4. Comparison of Simulator Sickness Using Static and Dynamic Walking Simulators

5. Tapping-In-Place: Increasing the naturalness of immersive walking-in-place locomotion through novel gestural input

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