In human communication, nonverbal information such as gestures and facial expressions often plays a greater role than language, and an increasing number of devices are designed to be intuitively controlled by gestures. However, there are some disadvantages of this intuitive interaction. One of the chief problems is that these devices have difficulty in distinguishing between unconscious and intentional gestures; they tend to respond erroneously to unconscious movements. In this chapter, authors propose a new gesture analysis method based on the dynamic model. They focused on the "exaggerated gestures" that are effectively used in, such as Japanese Kabuki, effectively used in Disney's animation, and tried to identify their common features and effects. They noted the "preparation" or "follow-through" motions just before and after the emphasized actions and each behavior can be quantified by the undershoot and overshoot value of changes in torque. These methods can provide important knowledge for analyzing features and distinguishing intentions when interacting with gestures.
|Title of host publication||Handbook of Research on Human-Computer Interfaces, Developments, and Applications|
|Number of pages||29|
|ISBN (Print)||1522504354, 9781522504351|
|Publication status||Published - 2016 Jun 29|
ASJC Scopus subject areas
- Computer Science(all)