A QoE and simulator sickness evaluation of a smart-exercise-bike virtual reality system via user feedback and physiological signals
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21377533
- Type
- D - Journal article
- DOI
-
10.1109/TCE.2018.2879065
- Title of journal
- IEEE Transactions on Consumer Electronics
- Article number
- -
- First page
- 119
- Volume
- 65
- Issue
- 1
- ISSN
- 0098-3063
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposed a smart exercise bike kit that is able to convert regular stationary exercise bikes to smart-exercise-bikes, accompanied by a custom virtual reality cycling application. The proposed system was studied in terms of visual quality and simulator sickness, reaching some meaningful and practical conclusions. During the preparation and publication of this work, smart-exercise-bikes and VR cycling applications started to become available in the market, underlining the novelty of the proposed work, as well as its international importance, due to similar product adoption from the consumers, e.g.:
https://www.roadtovr.com/ces-2019-nordictrack-making-vr-exercise-bike/
https://www.virzoom.com/
https://www.bigringvr.com/
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -