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A Context-Aware Conversational Agent in the Rehabilitation Domain

Author

Listed:
  • Thanassis Mavropoulos

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Georgios Meditskos

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Spyridon Symeonidis

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Eleni Kamateri

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Maria Rousi

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Dimitris Tzimikas

    (Entranet Ltd., 54249 Thessaloniki, Greece)

  • Lefteris Papageorgiou

    (Entranet Ltd., 54249 Thessaloniki, Greece)

  • Christos Eleftheriadis

    (ELBIS P.C., 57001 Thessaloniki, Greece)

  • George Adamopoulos

    (Evexia S.A., 63080 Thessaloniki, Greece)

  • Stefanos Vrochidis

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

  • Ioannis Kompatsiaris

    (Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece)

Abstract

Conversational agents are reshaping our communication environment and have the potential to inform and persuade in new and effective ways. In this paper, we present the underlying technologies and the theoretical background behind a health-care platform dedicated to supporting medical stuff and individuals with movement disabilities and to providing advanced monitoring functionalities in hospital and home surroundings. The framework implements an intelligent combination of two research areas: (1) sensor- and camera-based monitoring to collect, analyse, and interpret people behaviour and (2) natural machine–human interaction through an apprehensive virtual assistant benefiting ailing patients. In addition, the framework serves as an important assistant to caregivers and clinical experts to obtain information about the patients in an intuitive manner. The proposed approach capitalises on latest breakthroughs in computer vision, sensor management, speech recognition, natural language processing, knowledge representation, dialogue management, semantic reasoning, and speech synthesis, combining medical expertise and patient history.

Suggested Citation

  • Thanassis Mavropoulos & Georgios Meditskos & Spyridon Symeonidis & Eleni Kamateri & Maria Rousi & Dimitris Tzimikas & Lefteris Papageorgiou & Christos Eleftheriadis & George Adamopoulos & Stefanos Vro, 2019. "A Context-Aware Conversational Agent in the Rehabilitation Domain," Future Internet, MDPI, vol. 11(11), pages 1-20, November.
  • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:231-:d:282392
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