Altered walking pattern in a virtual environment
2005 (English)In: Presence - Teleoperators and Virtual Environments, ISSN 1054-7460, E-ISSN 1531-3263, Vol. 14, no 2, 191-197 p.Article in journal (Refereed) PublishedText
Falls and fractures among elderly persons constitute a major health problem. Many falls occur while walking and falls that occur during turning often result in a fracture. Methods aimed at understanding the complex mechanisms involved in walking should therefore assess tested individuals during walks and turns. In order to identify persons at risk and take the correct preventive measures, it is important to find methods that quantify movements as the tested persons are processing multisensory input. In a clinical setting this is sometimes difficult to achieve in a controlled manner, since tests are difficult to set exactly the same from one time to another. Using a virtual environment (VE) and a tracker system, conditions such as light, sound, events, body movements, and room size can be controlled and measured. Tests in VE can therefore be identically reproduced over and over again to evaluate if a person can withstand changing outer demands at any given moment. In order to perform quantitative measures 8 persons (21-74 years) were tested in immersive virtual reality. The VE was a corridor in which expected and unexpected events could be produced. Events studied were doors swinging open in front of the subjects during a walk and a virtual tilting of the environment. Trackers were used for collecting and analyzing the movement data. Our results show that the system was well tolerated among the subjects and that there was a clear tendency that the system could generate fall tendency among the subjects. There was also a difference among the subjects regarding walking strategies when subjected to the various events.
Place, publisher, year, edition, pages
Cambridge: MIT Press, 2005. Vol. 14, no 2, 191-197 p.
hip fracture, elderly people, older adults, risk-factors, falls, reality, attention, injuries, women, gait
Computer Science Software Engineering
IdentifiersURN: urn:nbn:se:umu:diva-120432DOI: 10.1162/1054746053967003ISI: 000229538900007OAI: oai:DiVA.org:umu-120432DiVA: diva2:933285