Estimating Interests Level of Person through Postures by Vision System
Jun Hakura, Takahashi Nobuhiro, Masaki Kurematsu, Hamido Fujita · Frontiers in artificial intelligence and applications · 2010
The paper proposed an estimation method of human interest/boredom for intelligent HCI system with a single vision system. The system estimates postures of the interactant by the facial feature points acquired from the vision system. The method uses the current software and hardware resources so that no extra device is required. This also results in achieving the real time estimation, i.e., low-cost computation. The experimental result implies that the method has possibilities to evaluate human-interest level as correct as the closer people of the interactant.