Projects

[ in Japanese ]
Recently I tackle research projects regarding Exercise-Training Support with Community of network and multimedia that integrates primarily Image and Sensor technologies. The brief of the projects are as follows.

 

<Sensor and Community Technologies for Supporting Exercise>

 [ Implementation of Coaching System based on Trainer’s Remote Monitoring for Outdoor Athletes ] (2009-Today)

“While running your favorite course, you can receive a lesson from the remote trainer!”

  1. Ubiquitous Coaching: Both a trainer and a athlete can play everywhere.
  2. Improving Specific Body Parts: A trainer can wear a wireless sensor everywhere on the body.
  3. Coaching Feedback through Sound: Advice based on trainer’s monitoring is transmitted as a certain sound pattern.
Figure: Support flow of monitoring/coaching by a remote trainer for an outdoor athlete
Figure: Support flow of monitoring/coaching by a remote trainer for an outdoor athlete
(Click image to enlarge)
Several parts in the figure is adapted from the following related papers.
  • Related Papers:
    Naka Gotoda, Kenji Matsuura, Shjinji Otsuka, Toshio Tanaka and Yoneo Yano: “Remote Coaching System for Runner’s Form with Wearable Wireless Sensor”, International Journal of Mobile Learning and Organisation, Vol.5, Nos.3-4, pp.282-298, Nov.2011.
    Naka Gotoda, Kenji Matsuura, Shinji Otsuka, Toshio Tanaka and Yoneo Yano: “Remote Training-Support of  Running Form for Runners with Wireless Sensor”, Proceedings of ICCE2010, pp.417-421, Putrajaya, Malaysia, Nov 2010.
    etc.

 

<Sensor and Community Technologies for Supporting Exercise>

[ Training Support of Exercise by Using Wireless Sensor with Autonomous Function of Feedback ] (2008-Today)

“You can improve your form by wearing a sensor device everywhere on the body during private or group training!”

  1. Sensor Network depending on Collectivity: Ad-hoc network is applied to intercommunication between wireless sensors.
  2. Real-time Monitoring: Motions of body are automatically monitored with sensors.
  3. Automatic Feedback of Advice: Advice based on sensor data is provided as visual information.
Figure: Support Flow of  group training based on same-pace running as an example
Figure: Support Flow of  group training based on same-pace running as an example
(Click image to enlarge)
Several parts in the figure is adapted from the following related papers.
  • Related Papers:
    Naka Gotoda, Kenji Matsuura, Takuji Hirano, Toshio Tanaka and Yoneo Yano: “Supporting Real-time Awareness for the Community of Runners”, International Journal of Knowledge and Web Intelligence, Vol.1, Nos.3-4, pp.289-303, Jul 2010.
    Naka Gotoda, Kenji Matsuura, Takuji Hirano, Toyoaki Nabeshima, Kazuhide  Kanenishi and Yoneo Yano: “Supporting Skill Awareness for Runners through Wireless Sensor Network”, Proceedings of ICCE 2009, pp.618-622, Hong Kong, China, Dec 2009.
    etc.

 

<Image and Community Technologies for Supporting Exercise>

[ Making Database of Visual Blog Entries into Learning Materials through Extraction / Recommendation of Good Examples based on Image Processing ]  (2008-Today) 

“While comparing with recommended examples from daily visual blog entries, you can learn!”

  1. Dynamic Development of Materials: Our system makes daily entries of video-sharing site into the materials dynamically.
  2. Visualizing Nonverbal Motions: Original image is converted into composite one with feature-amount change of body motions through image analysis.
  3. Automatic Retrieval: Good examples are recommended appropriately along with feature amount.
Figure: Flow from recording a certain skill to the recommendation of good examp
Figure: Flow from recording a certain skill to the recommendation of good example
(Click image to enlarge)
Several parts in the figure is adapted from the following related papers.
  • Related Papers:
    Naka Gotoda, Kenji Matsuura, Toyoaki Nabeshima, Kazuhide Kanenishi and Yoneo Yano: “Exploring and Developing Skills based on the Promoting Agent of Exercise on Nawatobi-SNS”, Journal of JSET, Vol.34, No.3, pp.269-277, Dec 2010. (in Japanese)
    Kenji Matsuura, Naka Gotoda and Yoneo Yano: “Learning and Competing Rope-Skipping Skills on a Community Site”, Proceedings of ED-MEDIA2010,  pp.3204-3209, Tronto, Canada, Jun 2010.
    etc.

 

<Sensor and Community Technologies for Supporting Exercise>

[ Role Design of Network Community for Personal Training ] (2007-Today)

“You can get acquaintances and competitors for spontaneous motives and technical knowledge!”

  1. Support of Making Acquaintances: Uploaded log is used as interaction support through online community.
  2. Support of Reflecting Exercise: An annotation and a report function promote reflection activity toward the next training.
  3. Support of Setting Goals: The system predicts growths of individuals through log analyses to support the goal setting.
Figure: Support flow of organizing community based on same activity area
Figure: Support flow of organizing community based on same activity area
(Click image to enlarge)
Several parts in the figure is adapted from the following related papers.
  • Related Papers:
    Shinji Otsuka, Kenji Matsuura, Naka Gotoda, Toshio Tanaka, Kazuhide Kanenishi, Hiroaki Ogata and Yoneo Yano: “Designing the Web-community for Self-managed Training of Runners”, Proceedings of KES2011, Vol.LNAI 6883, pp.529-538, Kaiserslautern, Germany, Sep 2011.
    Naka Gotoda, Kenji Matsuura, Shinji Otsuka, Toshio Tanaka and Yoneo Yano: “A Web-Community Supporting Self-Management for Runners with Annotation”, Proceedings of KES2010, Vol.LNAI 6277, pp.620-629, Cardiff, Wales, UK, Sep 2010.
    etc.

 

My roots of study is Educational Support in the Class. That is  based on supports regarding interactions between Teaching and Learning. Even now, the viewpoint has not changed for essence of my study. The study regarding educational support is  as follow.

<Textese and PowePoint Technologies for Supporting Lecture>

[ Reflective Learning with Textese as a Role for Annotations of Web Lecture Note ] (2005-2006)

“You can reflect on a lecture slide by sending post-it textese in the timing of the key-point page!”

  1. Post-it Activity during Lecture: A new annotation is synchronized with a lecture slide just by sending a blank textese to our system.
  2. Personal Brushup after Lecture: Reflective learning for annotations is conducted on a dedicated web-site.
  3. Sharing Annotations: A learner can discuss others by changing the attribution of annotation’s publication range.
Figure: Flow from annotation activity during class to reflective learning after class
Figure: Flow from annotation activity during class to reflective learning after class
(Click image to enlarge)
Several parts in the figure is adapted from the following related papers.
  • Related Papers:
    Kenji Matsuura, Naka Gotoda, Keiji Niki, Kazuhide Kanenishi and Yoneo Yano: “Supporting multi-step annotation to promote reflective learning: triggered by a cell-phone”, International Journal of Mobile Learning and Organization, Vol.2, No.2, pp.119-132, Jul 2008.
    Naka Gotoda, Kenji Matsuura, Kazuhide Kanenishi, Niki Keiji and Yoneo Yano: “Multi-step Annotation to Promote Reflective Learning with a Mobile Phone”, Proceedings of ICCE2006, Vol.1, pp.477-480, Beijing, China, Nov 2006.
    etc.

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