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- W1982484076 abstract "We introduce a novel paradigm of social interaction between humans and robots, which is a style of coaching humanoid robots through interaction with a human instructor, who provides reinforcement via affective/social behaviors and biological signals. In particular facial Electromyography (EMG) to capture affective human response by using a personal wearable device is used as guidance or feedback to shape robot behavior. Through real-time pattern classification, facial expressions can be identified from them and interpreted as positive and negative responses from a human. We also developed a behavior-based architecture for testing this approach in the context of complex reactive robot behaviors." @default.
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- W1982484076 date "2013-03-03" @default.
- W1982484076 modified "2023-09-24" @default.
- W1982484076 title "Coaching robots with biosignals based on human affective social behaviors" @default.
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- W1982484076 doi "https://doi.org/10.5555/2447556.2447698" @default.
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