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http://hdl.handle.net/1942/14641
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DC Field | Value | Language |
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dc.contributor.author | DE BOECK, Joan | - |
dc.contributor.author | VANACKEN, Lode | - |
dc.contributor.author | NOTELAERS, Sofie | - |
dc.contributor.author | CONINX, Karin | - |
dc.date.accessioned | 2013-03-11T09:58:36Z | - |
dc.date.available | 2013-03-11T09:58:36Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Advances in Human-Computer Interaction (Print), 2012 (Article ID 162868), p. 1-7 | - |
dc.identifier.issn | 1687-5893 | - |
dc.identifier.uri | http://hdl.handle.net/1942/14641 | - |
dc.description.abstract | Force feedback has proven to be beneficial in the domain of robot-assisted rehabilitation. According to the patients' personal needs, the generated forces may either be used to assist, support, or oppose their movements. In our current research project, we focus onto the upper limb training for MS (multiple sclerosis) and CVA (cerebrovascular accident) patients, in which a basic building block to implement many rehabilitation exercises was found. This building block is a haptic linear path: a second-order continuous path, defined by a list of points in space. Earlier, different attempts have been investigated to realize haptic linear paths. In order to have a good training quality, it is important that the haptic simulation is continuous up to the second derivative while the patient is enforced to follow the path tightly, even when low or no guiding forces are provided. In this paper, we describe our best solution to these haptic linear paths, discuss the weaknesses found in practice, and propose and validate an improvement. | - |
dc.description.sponsorship | INTERREG program (Project 4-BMG-II-1-84 and IVA-VLANED-1.14, Euregio Benelux) | - |
dc.language.iso | en | - |
dc.title | Improved Haptic Linear Lines for Better Movement Accuracy in Upper Limb Rehabilitation | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 7 | - |
dc.identifier.issue | Article ID 162868 | - |
dc.identifier.spage | 1 | - |
dc.identifier.volume | 2012 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.relation.references | J. E. Deutsch, J. Latonio, G. C. Burdea, and R. Boian, “Post-stroke rehabilitation with the rutgers ankle system: a case study,” Presence, vol. 10, no. 4, pp. 416–430, 2001. M. K. Holden, “Virtual environments for motor rehabilitation: review,” Cyberpsychology and Behavior, vol. 8, no. 3, pp. 187–211, 2005. M. Rosen, “Introduction to special topic issue on technology in neurorehabilitation,” NeuroRehabilitation, vol. 12, no. 1, pp. 1–2, 1999. G. Lathan, “Dimensions of diversity in design of telerehabilitation systems for universal usability,” in Proceedings of the Conference on Universal Usability (CUU '00), pp. 61–62, ACM, New York, NY, USA, November 2000. G. Kwakkel, R. van Peppen, R. Wagenaar et al., “Effects of augmented exercise therapy time after stroke: a meta-analysis,” Stroke, vol. 35, no. 11, pp. 2529–2539, 2004. S. J. Housman, V. Le, T. Rahman, R. J. Sanchez, and D. J. Reinkensmeyer, “Arm-training with T-WREX after chronic stroke: preliminary results of a randomized controlled trial,” in Proceedings of the IEEE 10th International Conference on Rehabilitation Robotics (ICORR '07), pp. 262–268, Noordwijk, The Netherlands, June 2007. J. de Boeck, G. Alders, D. Gijbels, et al., “The learning effect of force feedback enabled robotic rehabilitation of the upper limbs in persons with MS—a pilot study,” in Proceedings of the 5th Enactive International Conference (ENACTIVE '08), pp. 117–122, Pisa, Italy, November 2008. T. de Weyer, S. Notelaers, K. Coninx, et al., “Watering the flowers: virtual haptic environments for training of forearm rotation in persons with central nervous deficits,” in Proceedings of the 4th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA '11), ACM, Crete, Greece, May 2011. V. Popescu, G. Burdea, M. Bouzit, M. Girone, and V. Hentz, “Pc-based telerehabilitation system with force feedback,” IEEE Trans Inf Technol Biomed, vol. 4, no. 1, pp. 45–51, 2000. Sensable Technologies, OpenHaptics Toolkit, 2011, http://www.sensable.com/. Chai 3d api, June 2011, http://www.chai3d.org/. SenseGraphics, H3D API, 2011, http://www.h3dapi.org/. J. de Boeck, S. Notelaers, C. Raymaekers, and K. Coninx, “Haptic linear paths for arm rehabilitation in MS patients,” in Proceedings of the IEEE International Workshop on Haptic Audio Visual Environments and Games (HAVE '09), pp. 42–47, Lecco, Italy, September 2009. Distance to a bezier curve, June 2011, http://www.tinaja.com/glib/bezdist.pdf. | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.identifier.vabb | c:vabb:340324 | - |
dc.identifier.doi | 10.1155/2012/162868 | - |
item.fullcitation | DE BOECK, Joan; VANACKEN, Lode; NOTELAERS, Sofie & CONINX, Karin (2012) Improved Haptic Linear Lines for Better Movement Accuracy in Upper Limb Rehabilitation. In: Advances in Human-Computer Interaction (Print), 2012 (Article ID 162868), p. 1-7. | - |
item.accessRights | Open Access | - |
item.contributor | DE BOECK, Joan | - |
item.contributor | VANACKEN, Lode | - |
item.contributor | NOTELAERS, Sofie | - |
item.contributor | CONINX, Karin | - |
item.fulltext | With Fulltext | - |
item.validation | vabb 2014 | - |
crisitem.journal.issn | 1687-5893 | - |
crisitem.journal.eissn | 1687-5907 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Improved Haptic linear lines.pdf | 980.74 kB | Adobe PDF | View/Open |
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