TY - GEN
T1 - Give me a hand - How users ask a robotic arm for help with gestures
AU - Wongphati, Mahisorn
AU - Kanai, Yusuke
AU - Osawa, Hirotaka
AU - Imai, Michita
PY - 2012
Y1 - 2012
N2 - A task that requires two hands to perform such as soldering usually needs additional tools for holding (e.g. a cable) or adding (e.g. solder) an object to a specific position. A robotic manipulator or robotic arm is one of the solution for this requirement. When gesture is selected as a method for controlling a robot, characteristics of gestures are needed for designing and developing a gesture recognition system. With this requirement, we conducted an experiment to obtain a set of userdefined gestures in the soldering task to find out properties and patterns of a gesture for future development of our research. 152 gestures were collected from 19 participants by presenting the "effect" of the gesture (robotic arm movement), and then asking the participants to perform its "cause" (a user-defined gesture). The analyzed data shows that hands are the most used body parts even they are occupied by the task, that one-hand and two-hands gestures were used interchangeably by the participants, that the majority of the participants performed reversible gestures for reversible movements, and that the participants were expecting for better recognition performance on an easier to plan gesture. Our finding can be useful as a guideline for creating gesture set and system for controlling robotic arms based on natural behavior of users.
AB - A task that requires two hands to perform such as soldering usually needs additional tools for holding (e.g. a cable) or adding (e.g. solder) an object to a specific position. A robotic manipulator or robotic arm is one of the solution for this requirement. When gesture is selected as a method for controlling a robot, characteristics of gestures are needed for designing and developing a gesture recognition system. With this requirement, we conducted an experiment to obtain a set of userdefined gestures in the soldering task to find out properties and patterns of a gesture for future development of our research. 152 gestures were collected from 19 participants by presenting the "effect" of the gesture (robotic arm movement), and then asking the participants to perform its "cause" (a user-defined gesture). The analyzed data shows that hands are the most used body parts even they are occupied by the task, that one-hand and two-hands gestures were used interchangeably by the participants, that the majority of the participants performed reversible gestures for reversible movements, and that the participants were expecting for better recognition performance on an easier to plan gesture. Our finding can be useful as a guideline for creating gesture set and system for controlling robotic arms based on natural behavior of users.
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U2 - 10.1109/CYBER.2012.6392528
DO - 10.1109/CYBER.2012.6392528
M3 - Conference contribution
AN - SCOPUS:84907300922
SN - 9781467314213
T3 - Proceedings - 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012
SP - 64
EP - 68
BT - Proceedings - 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012
PB - IEEE Computer Society
T2 - 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012
Y2 - 27 May 2012 through 31 May 2012
ER -