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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...
With the goal of developing a conversational humanoid that can serve as a companion for people with dementia, we propose an autonomous virtual agent that can generate backchannel feedback, such as head nods and verbal acknowledgement, on the basis of acoustic information in the user's speech. The system is also capable of speech recognition and language understanding functionalities, which are potentially...
This paper presents a communication robot that can generate a referent identification conversation with human users. First, we conduct an experiment to collect face-to-face referent identification communication and investigate how the referent is identified by exchanging multiple speech turns between the participants. On the basis of the experimental observations, we implement a communication robot...
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