---
_id: '4374'
abstract:
- lang: eng
  text: 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.
author:
- first_name: 'Norimichi '
  full_name: 'Ukita, Norimichi '
  last_name: Ukita
- first_name: Koki
  full_name: Eimon, Koki
  last_name: Eimon
- first_name: Carsten
  full_name: Röcker, Carsten
  id: '61525'
  last_name: Röcker
citation:
  ama: '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. <i>Proceedings of the 8th International
    Conference on Pervasive Computing Technologies for Healthcare </i>. Brussels,
    Belgium :  ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications
    Engineering); 2014:223-226. doi:<a href="https://doi.org/10.4108/icst.pervasivehealth.2014.255133">10.4108/icst.pervasivehealth.2014.255133</a>'
  apa: 'Ukita, N., Eimon, K., &#38; Röcker, C. (2014). Mining Crucial Features for
    Automatic Rehabilitation Coaching Systems. In A. Hein &#38; ICST (Institute for
    Computer Sciences, Social-Informatics and Telecommunications Engineering)  (Eds.),
    <i>Proceedings of the 8th International Conference on Pervasive Computing Technologies
    for Healthcare </i> (pp. 223–226). Brussels, Belgium :  ICST (Institute for Computer
    Sciences, Social-Informatics and Telecommunications Engineering). <a href="https://doi.org/10.4108/icst.pervasivehealth.2014.255133">https://doi.org/10.4108/icst.pervasivehealth.2014.255133</a>'
  bjps: '<b>Ukita N, Eimon K and Röcker C</b> (2014) Mining Crucial Features for Automatic
    Rehabilitation Coaching Systems. In Hein A and ICST (Institute for Computer Sciences,
    Social-Informatics and Telecommunications Engineering)  (eds), <i>Proceedings
    of the 8th International Conference on Pervasive Computing Technologies for Healthcare
    </i>. Brussels, Belgium :  ICST (Institute for Computer Sciences, Social-Informatics
    and Telecommunications Engineering), pp. 223–226.'
  chicago: 'Ukita, Norimichi , Koki Eimon, and Carsten Röcker. “Mining Crucial Features
    for Automatic Rehabilitation Coaching Systems.” In <i>Proceedings of the 8th International
    Conference on Pervasive Computing Technologies for Healthcare </i>, 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. <a href="https://doi.org/10.4108/icst.pervasivehealth.2014.255133">https://doi.org/10.4108/icst.pervasivehealth.2014.255133</a>.'
  chicago-de: 'Ukita, Norimichi , Koki Eimon und Carsten Röcker. 2014. Mining Crucial
    Features for Automatic Rehabilitation Coaching Systems. In: <i>Proceedings of
    the 8th International Conference on Pervasive Computing Technologies for Healthcare
    </i>, 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:<a href="https://doi.org/10.4108/icst.pervasivehealth.2014.255133,">10.4108/icst.pervasivehealth.2014.255133,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Ukita, Norimichi </span> ;
    <span style="font-variant:small-caps;">Eimon, Koki</span> ; <span style="font-variant:small-caps;">Röcker,
    Carsten</span>: Mining Crucial Features for Automatic Rehabilitation Coaching
    Systems. In: <span style="font-variant:small-caps;">Hein, A.</span> ; <span style="font-variant:small-caps;">ICST
    (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
    </span> (Hrsg.): <i>Proceedings of the 8th International Conference on Pervasive
    Computing Technologies for Healthcare </i>. Brussels, Belgium  :  ICST (Institute
    for Computer Sciences, Social-Informatics and Telecommunications Engineering),
    2014, S. 223–226'
  havard: '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.'
  ieee: N. Ukita, K. Eimon, and C. Röcker, “Mining Crucial Features for Automatic
    Rehabilitation Coaching Systems,” in <i>Proceedings of the 8th International Conference
    on Pervasive Computing Technologies for Healthcare </i>, Oldenburg, 2014, pp.
    223–226.
  mla: Ukita, Norimichi, et al. “Mining Crucial Features for Automatic Rehabilitation
    Coaching Systems.” <i>Proceedings of the 8th International Conference on Pervasive
    Computing Technologies for Healthcare </i>, 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:<a href="https://doi.org/10.4108/icst.pervasivehealth.2014.255133">10.4108/icst.pervasivehealth.2014.255133</a>.
  short: '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.'
  ufg: '<b>Ukita, Norimichi  et. al. (2014)</b>: Mining Crucial Features for Automatic
    Rehabilitation Coaching Systems, in: Andreas Hein/ICST (Institute for Computer
    Sciences, Social-Informatics and Telecommunications Engineering)  (Hgg.): <i>Proceedings
    of the 8th International Conference on Pervasive Computing Technologies for Healthcare
    </i>, Brussels, Belgium , S. 223–226.'
  van: '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.'
conference:
  end_date: 2014-05-23
  location: Oldenburg
  name: 8th International Conference on Pervasive Computing Technologies for Healthcare
  start_date: 2014-05-20
corporate_editor:
- 'ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications
  Engineering) '
date_created: 2021-01-14T10:13:23Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
doi: 10.4108/icst.pervasivehealth.2014.255133
editor:
- first_name: Andreas
  full_name: Hein, Andreas
  last_name: Hein
extern: '1'
keyword:
- motion coach
- rehabilitation
- pervasive health
- ambient assisted living
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 223-226
place: 'Brussels, Belgium '
publication: 'Proceedings of the 8th International Conference on Pervasive Computing
  Technologies for Healthcare '
publication_identifier:
  isbn:
  - 978-1-63190-011-2
publication_status: published
publisher: ' ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications
  Engineering)'
status: public
title: Mining Crucial Features for Automatic Rehabilitation Coaching Systems
type: conference
user_id: '15514'
year: 2014
...