Title: Proposal of Organizing Learning Material with Multiple Perceptions Depending on Preference of Physical Training

Year of Publication: Nov - 2016
Page Numbers: 56-64
Authors: Takuya Ishioka, Naka Gotoda, Yuji Kobayashi, Kenji Matsuura, Karungaru Stephen, Rihito Yaegashi, Toshihiro Hayashi, Kenichi Fujimoto, Hiroshi Murai
Conference Name: The Second International Conference on Electronics and Software Science (ICESS2016)
- Japan


Our research focuses on making a new e-learning framework which supports learning of physical activity skills. Generally, when we practice sports, we can use a learning material which includes multiple perceptions (e.g. coaching video with onomatopoeia). Additionally, the feedback with three-senses (e.g. sound, visual) which except senses of taste and smell is usually effective for the learner. Moreover, learning materials adopt to differences of individual learning environment (e.g. preference of the material). If the learners use the material under the environment, there is a possibility that they can acquire the skills easily. We propose a learning methodology which the learners can choose the candidates of learning material based on three-senses to realize a personalized and reliable training media through trial and error. The candidates are recommended by the system based on a relationship between players’ and coaches’ preferences (e.g. visual feedback support). The system obtains players’ movements through wearable devices with sensors during each training, and gives feedback as a coaching trigger which adopts to the player’s favorite perception in realtime.