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  • 标题:A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics
  • 本地全文:下载
  • 作者:Lorenzo Cominelli ; Nicola Carbonaro
  • 期刊名称:Future Internet
  • 电子版ISSN:1999-5903
  • 出版年度:2017
  • 卷号:9
  • 期号:3
  • 页码:42
  • DOI:10.3390/fi9030042
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:In this work, we present an unobtrusive and non-invasive perception framework based on the synergy between two main acquisition systems: the Touch-Me Pad, consisting of two electronic patches for physiological signal extraction and processing; and the Scene Analyzer, a visual-auditory perception system specifically designed for the detection of social and emotional cues. It will be explained how the information extracted by this specific kind of framework is particularly suitable for social robotics applications and how the system has been conceived in order to be used in human-robot interaction scenarios.
  • 关键词:perception framework; physiological signal acquisition; multimodality; social robotics; human-robot interaction perception framework ; physiological signal acquisition ; multimodality ; social robotics ; human-robot interaction
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