TY - GEN
T1 - Gesture identification based on zone entry and axis crossing
AU - Aoki, Ryosuke
AU - Karatsu, Yutaka
AU - Ihara, Masayuki
AU - Maeda, Atsuhiko
AU - Kobayashi, Minoru
AU - Kagami, Shingo
PY - 2011/7/19
Y1 - 2011/7/19
N2 - Hand gesture interfaces have been proposed as an alternative to the remote controller, and products with such interfaces have appeared in the market. We propose the vision-based unicursal gesture interface (VUGI) as an extension of our unicursal gesture interface (UGI) for TV remotes with touchpads. Since UGI allows users to select an item on a hierarchical menu comfortably, it is expected that VUGI will yield easy-to-use hierarchical menu selection. Moreover, gestures in the air such as VUGI offer an interface area that is larger than that provided by touchpads. Unfortunately, since the user loses track of his/her finger position, it is not easy to input commands continuously using VUGI. To solve this problem, we propose the dynamic detection zone and the detection axes. An experiment confirms that subjects can input VUGI commands continuously.
AB - Hand gesture interfaces have been proposed as an alternative to the remote controller, and products with such interfaces have appeared in the market. We propose the vision-based unicursal gesture interface (VUGI) as an extension of our unicursal gesture interface (UGI) for TV remotes with touchpads. Since UGI allows users to select an item on a hierarchical menu comfortably, it is expected that VUGI will yield easy-to-use hierarchical menu selection. Moreover, gestures in the air such as VUGI offer an interface area that is larger than that provided by touchpads. Unfortunately, since the user loses track of his/her finger position, it is not easy to input commands continuously using VUGI. To solve this problem, we propose the dynamic detection zone and the detection axes. An experiment confirms that subjects can input VUGI commands continuously.
UR - http://www.scopus.com/inward/record.url?scp=79960297430&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-21605-3_22
DO - 10.1007/978-3-642-21605-3_22
M3 - Conference contribution
AN - SCOPUS:79960297430
SN - 9783642216046
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 194
EP - 203
BT - Human-Computer Interaction
T2 - 14th International Conference on Human-Computer Interaction, HCI International 2011
Y2 - 9 July 2011 through 14 July 2011
ER -