The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Adapting an immersive virtual reality system for rehabilitation
Abstract
The purpose of this paper is to present an overview of the adaptations that have been done to VividGroup's Gesture Xtreme projected VR scenarios in order to facilitate their use in neurological rehabilitation. First, the scenarios and the adaptation (control of the type, speed, location and direction of all stimuli) are briefly described. The advantages and limitations of the adapted VR system as a rehabilitation tool are presented. Next, initial results and two examples of case studies, one a patient following stroke and one who requires balance training as a result of complete spinal cord injury, are used to illustrate applications of this VR system to rehabilitation. Copyright © 2003 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring Presence in Virtual Environments: A Presence Questionnaire
Witmer, B. G., & Singer, M. J. (1998) · Presence: Teleoperators and Virtual Environments · doi:10.1162/105474698565686 · Cited by 6,371
Cited by
Virtual Environments for Motor Rehabilitation: Review
Holden, M. K. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.187 · Cited by 1,154
A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy
Rizzo, A. “., & Kim, G. J. (2005) · Presence: Teleoperators and Virtual Environments · doi:10.1162/1054746053967094 · Cited by 877
Human motion tracking for rehabilitation-A survey
Zhou, H., & Hu, H. (2008) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.09.001 · Cited by 813
Motor rehabilitation using virtual reality
Sveistrup, H. (2004) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-1-10 · Cited by 745
Maier, M., Rubio Ballester, B., Duff, A., Duarte Oller, E., & Verschure, P. F. M. J. (2019) · Neurorehabilitation and Neural Repair · doi:10.1177/1545968318820169 · Cited by 239
Metadata
- Authors
- Kizony, R., Katz, N., & (Tamar) Weiss, P. L.
- Venue
- The Journal of Visualization and Computer Animation
- Publisher
- Wiley
- Published
- 2003-11-21
- Volume
- 14
- Issue
- 5
- Pages
- 261-268
- ISSN
- 1049-8907 (ISSN-L)
- 1099-1778
- OpenAlex
- W2020988965
- Cited by
- 185
- References
- 1
- FWCI
- 11.09
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
