A Proposed Dynamical Analytic Method for Characteristic Gestures in Human Communication
In human communication, nonverbal information such as gestures and facial expressions often plays a greater role than language; and some gesture-driven operations of the latest mobile devices have proved to be easy-to-use and intuitive interfaces. In this paper we propose a method of analyzing gestures that focuses on human communication based on the dynamical kinematic model. We have extended the analysis method of our proposed approach to take into account additional effects, such as those exerted by external forces, and we analyze the effects over the entire body of forces generated by gestures. We found that the degree of exaggeration could be quantified by the value of, and changes in, torque values. Moreover, when calculating them taking into account external forces and the moment of drag that is acting on both feet, it is possible to determine the twisting torque of the main joints with a high degree of precision. We also noted “preparation” or “follow-through” motions just before and after the emphasized motion, and found that each behavior can be quantified by an “undershoot” or “overshoot” value of changes in torque.
KeywordsNonverbal Communication Gesture Virtual reality Dynamics
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