Abstract
This study aims at developing an entertainment air hockey robot with which the human player can enjoy his/her play using tactics. In order to provide such highly-offensive tactics with the robot, the authors pay attention to the human player's eye movement, which is deeply related to decision-making, recognize it and etc., as a kind of motion skills. That is, we start it from observation, i.e., analyzing the measured human player's eye movement and giving findings from the results to the robot. In this paper, we introduce a time-series of gaze point likelihood distribution for statistical analysis. Experimental results by this approach have shown tendencies of how the players use their eyes. From discussion of the results, it has indicated that we could generate tactics as attacking weak point of the human eye movement mechanism.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012 |
| Pages | 34-39 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu Duration: 2012 Aug 5 → 2012 Aug 8 |
Other
| Other | 2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 |
|---|---|
| City | Chengdu |
| Period | 12/8/5 → 12/8/8 |
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Keywords
- Air Hockey Robot
- Eye-Tracking Device
- Sports Vision
- Statistical Analysis
- Time-Series of Gaze Point Likelihood Distribution
ASJC Scopus subject areas
- Control and Systems Engineering
- Mechanical Engineering
Cite this
Towards air hockey robot with tactics - Statistical analysis from measurement of eye movement. / Ogawa, Masaya; Ikeuchi, Katsushi; Sato, Yuya; Kudoh, Shunsuke; Tomizawa, Testuo; Suehiro, Takashi; Shimizu, Sota.
2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012. 2012. p. 34-39 6282343.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Towards air hockey robot with tactics - Statistical analysis from measurement of eye movement
AU - Ogawa, Masaya
AU - Ikeuchi, Katsushi
AU - Sato, Yuya
AU - Kudoh, Shunsuke
AU - Tomizawa, Testuo
AU - Suehiro, Takashi
AU - Shimizu, Sota
PY - 2012
Y1 - 2012
N2 - This study aims at developing an entertainment air hockey robot with which the human player can enjoy his/her play using tactics. In order to provide such highly-offensive tactics with the robot, the authors pay attention to the human player's eye movement, which is deeply related to decision-making, recognize it and etc., as a kind of motion skills. That is, we start it from observation, i.e., analyzing the measured human player's eye movement and giving findings from the results to the robot. In this paper, we introduce a time-series of gaze point likelihood distribution for statistical analysis. Experimental results by this approach have shown tendencies of how the players use their eyes. From discussion of the results, it has indicated that we could generate tactics as attacking weak point of the human eye movement mechanism.
AB - This study aims at developing an entertainment air hockey robot with which the human player can enjoy his/her play using tactics. In order to provide such highly-offensive tactics with the robot, the authors pay attention to the human player's eye movement, which is deeply related to decision-making, recognize it and etc., as a kind of motion skills. That is, we start it from observation, i.e., analyzing the measured human player's eye movement and giving findings from the results to the robot. In this paper, we introduce a time-series of gaze point likelihood distribution for statistical analysis. Experimental results by this approach have shown tendencies of how the players use their eyes. From discussion of the results, it has indicated that we could generate tactics as attacking weak point of the human eye movement mechanism.
KW - Air Hockey Robot
KW - Eye-Tracking Device
KW - Sports Vision
KW - Statistical Analysis
KW - Time-Series of Gaze Point Likelihood Distribution
UR - http://www.scopus.com/inward/record.url?scp=84867608495&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867608495&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2012.6282343
DO - 10.1109/ICMA.2012.6282343
M3 - Conference contribution
SN - 9781467312776
SP - 34
EP - 39
BT - 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
ER -