Around me: a system with an escort robot providing a sports player's self-images

Providing self-images is an effective approach to identifying sports players' body movements that should be corrected. Traditional means providing self-images, however, such as mirrors and videos, are not effective in terms of mobility and immediacy. In this paper we propose a system, Around Me, providing self-images through a display attached to an escort robot that runs in front of the user. This system captures the user's posture from the front and recognizes his/her position relative to the robot. The user's movements are synchronized with the robot's movements because the robot's movements are determined by the user's location. In this research we developed an experimental prototype specialized for assistance in jogging. In pilot studies we observed that the ability of Around Me to provide real-time images is potentially able to encourage the user to improve his/her jogging form, which is essential for performance and for injury prevention. In addition, compared with the robot running in front of the user with one following behind the user, we clarified the frontal robot's characteristics: the robot can control the jogging speed, and the user needs to adjust the robot's steering and the distance between the robot and him/her as he/she requires. Then we found indications that Around Me can, with various jogging support functions, encourage the user to practice jogging with ideal form.

[1]  Erwin Prassler,et al.  Motion coordination between a human and a mobile robot , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Keita Higuchi,et al.  Flying sports assistant: external visual imagery representation for sports training , 2011, AH '11.

[3]  D. Ste-Marie,et al.  Does Self-Modeling Affect Imagery Ability or Vividness? , 2009 .

[4]  Mark Fiala,et al.  Magic Mirror System with Hand-held and Wearable Augmentations , 2007, 2007 IEEE Virtual Reality Conference.

[5]  Augmentations Magic Mirror and Hand-held and Wearable , 2007 .

[6]  David Lee,et al.  The influence of subjects' personality traits on personal spatial zones in a human-robot interaction experiment , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[7]  Makoto Sato,et al.  Realtime sonification of the center of gravity for skiing , 2012, AH '12.

[8]  Steven Pemberton,et al.  CHI '97 Extended Abstracts on Human Factors in Computing Systems , 1997, CHI 1997.

[9]  Jun Rekimoto,et al.  Swimoid: a swim support system using an underwater buddy robot , 2013, AH.

[10]  David Lee,et al.  Close encounters: spatial distances between people and a robot of mechanistic appearance , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[11]  Doug Lemov,et al.  成功する練習の法則 : 最高の成果を引き出す42のルール = Practice perfect : 42 rules for getting better at getting better , 2012 .

[12]  Florian Mueller,et al.  Joggobot: a flying robot as jogging companion , 2012, CHI Extended Abstracts.

[13]  Leila Takayama,et al.  Assisted driving of a mobile remote presence system: System design and controlled user evaluation , 2011, 2011 IEEE International Conference on Robotics and Automation.

[14]  Takayuki Kanda,et al.  How do people walk side-by-side? — Using a computational model of human behavior for a social robot , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[15]  Jwu-Sheng Hu,et al.  Behavior control of the mobile robot for accompanying in front of a human , 2012, 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

[16]  Reid G. Simmons,et al.  Natural person-following behavior for social robots , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[17]  Alex Pentland,et al.  The ALIVE system: full-body interaction with autonomous agents , 1995, Proceedings Computer Animation'95.

[18]  Tomas Sokoler,et al.  MagicMirror: towards enhancing collaborative rehabilitation practices , 2011, CSCW '11.