Title |
A Fully Immersive Set-Up for Remote Interaction and Neurorehabilitation Based on Virtual Body Ownership
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Published in |
Frontiers in Neurology, January 2012
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DOI | 10.3389/fneur.2012.00110 |
Pubmed ID | |
Authors |
Daniel Perez-Marcos, Massimiliano Solazzi, William Steptoe, Oyewole Oyekoya, Antonio Frisoli, Tim Weyrich, Anthony Steed, Franco Tecchia, Mel Slater, Maria V. Sanchez-Vives |
Abstract |
Although telerehabilitation systems represent one of the most technologically appealing clinical solutions for the immediate future, they still present limitations that prevent their standardization. Here we propose an integrated approach that includes three key and novel factors: (a) fully immersive virtual environments, including virtual body representation and ownership; (b) multimodal interaction with remote people and virtual objects including haptic interaction; and (c) a physical representation of the patient at the hospital through embodiment agents (e.g., as a physical robot). The importance of secure and rapid communication between the nodes is also stressed and an example implemented solution is described. Finally, we discuss the proposed approach with reference to the existing literature and systems. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 2% |
United States | 3 | 2% |
Turkey | 1 | <1% |
France | 1 | <1% |
Finland | 1 | <1% |
Switzerland | 1 | <1% |
Canada | 1 | <1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 130 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 22% |
Researcher | 24 | 17% |
Student > Master | 13 | 9% |
Student > Doctoral Student | 12 | 8% |
Professor | 9 | 6% |
Other | 25 | 17% |
Unknown | 29 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 23 | 16% |
Computer Science | 21 | 15% |
Engineering | 18 | 13% |
Medicine and Dentistry | 15 | 10% |
Neuroscience | 13 | 9% |
Other | 24 | 17% |
Unknown | 30 | 21% |