@inbook{4337,
  abstract     = {{Our goal is to develop a system for coaching human motions (e.g., for rehabilitation and daily health maintenance). This paper focuses on how to coach a user so that his/her motion gets closer to the good template of a target motion. It is important to efficiently advise the user to emulate the crucial features that define the good template. The proposed system (1) automatically mines the crucial features of any kind of motion from a set of motion features and (2) gives the user feedback about how to modify the motion through an intuitive interface. The crucial features are mined by feature sparsification through binary classification between the samples of good and other motions. An interface for motion coaching is designed to give feedback via different channels (e.g., visually, aurally), depending on the type of error. To use the total system, all the user must do is just move and then get feedback on the motion. Following experimental results, open problems for future work are discussed.}},
  author       = {{Ukita, Norimichi and Kaulen, Daniel  and Röcker, Carsten}},
  booktitle    = {{Smart Health : Open Problems and Future Challenges}},
  editor       = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}},
  isbn         = {{978-3-319-16225-6}},
  keywords     = {{Motion coaching, Error feedback, Physical rehabilitation}},
  pages        = {{ 189 -- 208}},
  publisher    = {{Springer}},
  title        = {{{A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health}}},
  doi          = {{10.1007/978-3-319-16226-3_8}},
  volume       = {{8700}},
  year         = {{2015}},
}

@inproceedings{4378,
  abstract     = {{The development of a widely applicable automatic motion coaching system requires one to address a lot of issues including motion capturing, motion analysis and comparison, error detection as well as error feedback. In order to cope with this complexity, most existing approaches focus on a specific motion sequence or exercise. As a first step towards the development of a more generic system, this paper systematically analyzes different error and feedback types. A prototype of a feedback system that addresses multiple modalities is presented. The system allows to evaluate the applicability of the proposed feedback techniques for arbitrary types of motions in a next step.}},
  author       = {{Ukita, Norimichi and Kaulen, Daniel and Röcker, Carsten}},
  booktitle    = {{Proceedings of the International Conference on Physiological Computing Systems (PhyCS'14)}},
  editor       = {{Holzinger, Andreas}},
  keywords     = {{Motion Coaching, Motion Error Feedback, Prototyping, Error Visualization, Error Audiolization.}},
  location     = {{Lisbon, Portugal}},
  number       = {{PhyCS}},
  pages        = {{167 -- 172}},
  publisher    = {{ SCITEPRESS }},
  title        = {{{Towards an Automatic Motion Coaching System: Feedback Techniques for Different Types of Motion Errors}}},
  doi          = {{10.5220/0004884901670172}},
  volume       = {{1}},
  year         = {{2014}},
}