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文章基本信息

  • 标题:A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction
  • 本地全文:下载
  • 作者:Lourdes Martínez-Villaseñor ; Hiram Ponce
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2019
  • 卷号:15
  • 期号:6
  • 页码:1
  • DOI:10.1177/1550147719853987
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Human activitiy recognition deals with the integration of sensing and reasoning aiming to understand better people’s actions. Moreover, it plays an important role in human interaction, human–robot interaction, and brain–computer interaction. When these approaches have to be developed, different efforts from signal processing and artificial intelligence are considered. In that sense, this article aims to present a concise review of signal processing in human activitiy recognition systems and describe two examples and applications both in human activity recognition and robotics: human–robot interaction and socialization, and imitation learning in robotics. In addition, it presents ideas and trends in the context of human activity recognition for human–robot interaction that are important when processing signals within that systems.
  • 关键词:Human activity recognition; human–computer interaction; sensor signals; machine learning
  • 其他关键词:Human activity recognition ; human–computer interaction ; sensor signals ; machine learning
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