| Title | Hand detection and tracking using the skeleton of the blob for medical rehabilitation applications |
| Publication Type | Book |
| Year of Publication | 2012 |
| Authors | Gil-Jiménez, P, Losilla-López, B, Torres-Cueco, R, Campilho, A, López-Sastre, R |
| Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. |
| Volume | 7325 LNCS |
| Number of Pages | 130 - 137 |
| City | Aveiro |
| ISBN Number | 03029743 (ISSN); 9783642312977 (ISBN) |
| Keywords | blob skeleton, Hand detection, hand detection and tracking, Image analysis, Image processing applications, Interactive applications, Musculoskeletal system, phantom limb pain reduction, Therapeutic treatments, Virtual images, virtual reality |
| Abstract | This article presents an image processing application for hand detection and tracking using the 4-connected skeleton of the segmentation mask. The system has been designed to be used with techniques of virtual reality to develop an interactive application for phantom limb pain reduction in therapeutic treatments. One of the major contributions is the design of a fast and accurate skeleton extractor, that has proven to be faster than those available in the literature. The skeleton allows the system to precisely detect the position of all the interest points of the hand (namely the fingers and the hand center). The system, composed of both the hand detector and tracker, and the virtual reality application, can work in real-time, allowing the patient to watch the virtual image of his own hand on a screen. © 2012 Springer-Verlag. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-84864140682&partnerID=40&md5=39ee654bd93d52a92d0be5977cff42f7 |
