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Gesture generation is one of the most important tasks in humanoid interfaces because hand gestures by humanoid robots and animated agents are useful in improving the comprehensibility of conversation content. This study proposes a method for automatically generating iconic drawing gestures using image processing and machine learning techniques. First, we collected a set of graphic images for over...
In order to provide a watching service for the elderly with dementia, recognizing and assessing their cognitive and health status are indispensable. In this study, we propose a prediction model for assessing the communication attitude of the elderly during interacting with a virtual agent. We define speech features and head motion features using frequency analysis and apply them to a linear regression...
In collaborative learning, participants interact with other members by exchanging not only verbal information but also nonverbal information, such as looking at other participants and note taking, which plays an important role in facilitating effective learning. In order to utilize such non-verbal information to analyze collaborative learning interaction, we conducted experiments to collect non-verbal...
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