• DocumentCode
    1784971
  • Title

    Natural human-robot interaction for elderly and disabled healthcare application

  • Author

    Qijie Zhao ; Dawei Tu ; Shuo Xu ; Hui Shao ; Qingxu Meng

  • Author_Institution
    Shanghai Key Lab. of Intell. Manuf. & Robot., Shanghai, China
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    Natural human-robot interaction plays an important role in effective nursing services system provided by service robots for the elderly and disabled people. This paper proposed a multimodal “human-robot integration” collaboration system, and set up a shared collaboration interface between human and service robot. Consequently, Users and service robots can naturally communicate and retrieve information from the collaborative interface with multimodality(e.g. head gesture, eye gaze) in an interactive dialogue approach. By this way, making the service robots fully understand human´s intention, so they can collaborate and complete tasks well. Furthermore, some experiments were conducted, and the results suggest that it is effective to identify user´s intention in light of the advantage of different modalities, the shared collaboration interface can provide more information both from human and robots to improve the naturalness of human-machine collaboration. The proposed methods can provide a new way for exploiting human-service robots cooperation.
  • Keywords
    biomedical optical imaging; gaze tracking; geriatrics; gesture recognition; handicapped aids; health care; human-robot interaction; information retrieval; medical image processing; medical robotics; patient care; disabled healthcare application; effective nursing service system; elderly healthcare application; eye gaze; head gesture; human-machine collaboration naturalness; human-service robots cooperation; information retrieval; interactive dialogue approach; multimodal human-robot integration collaboration system; natural human-robot interaction; shared collaboration interface; user intention identification; user-service robot communication; Collaboration; Head; Medical services; Mobile robots; Sensors; Service robots; Healthcare System; Human-Robot Interaction; Multimodality; Service Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
  • Conference_Location
    Belfast
  • Type

    conf

  • DOI
    10.1109/BIBM.2014.6999239
  • Filename
    6999239