Mining Crucial Features for Automatic Rehabilitation Coaching Systems
N. Ukita, K. Eimon, C. Röcker, in: A. Hein, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (Eds.), Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels, Belgium , 2014, pp. 223–226.
Konferenz - Beitrag
| Veröffentlicht
| Englisch
Autor*in
Herausgeber*in
Hein, Andreas
Körperschaftlicher Herausgeber
ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Abstract
Our goal is to develop a system for coaching human motions (e.g. rehabilitation). Such a coaching system should have several function such as motion measurement, evaluation, and feedback. Among all, this paper focuses on how to modify a user’s motion so that it gets closer to the good template of a target motion. To this end, it is important to efficiently advise the user to emulate the crucial features that define the good template. The proposed method automatically mines the crucial features of any kind of motions from a set of all motion features. The crucial features are mined based on feature sparsification through binary classification between the samples of good and other motions.
Stichworte
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
Seite
223-226
Konferenz
8th International Conference on Pervasive Computing Technologies for Healthcare
Konferenzort
Oldenburg
Konferenzdatum
2014-05-20 – 2014-05-23
ISBN
ELSA-ID
Zitieren
Ukita N, Eimon K, Röcker C. Mining Crucial Features for Automatic Rehabilitation Coaching Systems. In: Hein A, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , eds. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare . Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2014:223-226. doi:10.4108/icst.pervasivehealth.2014.255133
Ukita, N., Eimon, K., & Röcker, C. (2014). Mining Crucial Features for Automatic Rehabilitation Coaching Systems. In A. Hein & ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (Eds.), Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (pp. 223–226). Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). https://doi.org/10.4108/icst.pervasivehealth.2014.255133
Ukita N, Eimon K and Röcker C (2014) Mining Crucial Features for Automatic Rehabilitation Coaching Systems. In Hein A and ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (eds), Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare . Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 223–226.
Ukita, Norimichi , Koki Eimon, and Carsten Röcker. “Mining Crucial Features for Automatic Rehabilitation Coaching Systems.” In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , edited by Andreas Hein and ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , 223–26. Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2014. https://doi.org/10.4108/icst.pervasivehealth.2014.255133.
Ukita, Norimichi , Koki Eimon und Carsten Röcker. 2014. Mining Crucial Features for Automatic Rehabilitation Coaching Systems. In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , hg. von Andreas Hein und ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , 223–226. Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). doi:10.4108/icst.pervasivehealth.2014.255133, .
Ukita, Norimichi ; Eimon, Koki ; Röcker, Carsten: Mining Crucial Features for Automatic Rehabilitation Coaching Systems. In: Hein, A. ; ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (Hrsg.): Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare . Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2014, S. 223–226
N. Ukita, K. Eimon, C. Röcker, Mining Crucial Features for Automatic Rehabilitation Coaching Systems, in: A. Hein, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (Eds.), Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels, Belgium , 2014: pp. 223–226.
N. Ukita, K. Eimon, and C. Röcker, “Mining Crucial Features for Automatic Rehabilitation Coaching Systems,” in Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , Oldenburg, 2014, pp. 223–226.
Ukita, Norimichi, et al. “Mining Crucial Features for Automatic Rehabilitation Coaching Systems.” Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , edited by Andreas Hein and ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2014, pp. 223–26, doi:10.4108/icst.pervasivehealth.2014.255133.
Ukita, Norimichi et. al. (2014): Mining Crucial Features for Automatic Rehabilitation Coaching Systems, in: Andreas Hein/ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (Hgg.): Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , Brussels, Belgium , S. 223–226.
Ukita N, Eimon K, Röcker C. Mining Crucial Features for Automatic Rehabilitation Coaching Systems. In: Hein A, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , editors. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare . Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2014. p. 223–6.
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