A Context-Aware Conversational Agent in the Rehabilitation Domain
by
Thanassis Mavropoulos 1,*, Georgios Meditskos 1,*, Spyridon Symeonidis 1, Eleni Kamateri 1, Maria Rousi 1, Dimitris Tzimikas 2, Lefteris Papageorgiou 2, Christos Eleftheriadis 3, George Adamopoulos 4, Stefanos Vrochidis 1 and Ioannis Kompatsiaris 1
Thanassis Mavropoulos 1,*, Georgios Meditskos 1,*, Spyridon Symeonidis 1, Eleni Kamateri 1, Maria Rousi 1, Dimitris Tzimikas 2, Lefteris Papageorgiou 2, Christos Eleftheriadis 3, George Adamopoulos 4, Stefanos Vrochidis 1 and Ioannis Kompatsiaris 1
1
Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece
2
Entranet Ltd., 54249 Thessaloniki, Greece
3
ELBIS P.C., 57001 Thessaloniki, Greece
4
Evexia S.A., 63080 Thessaloniki, Greece
*
Authors to whom correspondence should be addressed.
Future Internet 2019, 11(11), 231; https://doi.org/10.3390/fi11110231
Received: 30 September 2019 / Revised: 25 October 2019 / Accepted: 30 October 2019 / Published: 1 November 2019
(This article belongs to the Special Issue Intelligent Innovations in Multimedia Data)
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.
View Full-Text
Keywords:
wireless sensor networks; ontology-based dialogue management; semantic disambiguation; natural language processing; virtual assistant
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Mavropoulos, T.; Meditskos, G.; Symeonidis, S.; Kamateri, E.; Rousi, M.; Tzimikas, D.; Papageorgiou, L.; Eleftheriadis, C.; Adamopoulos, G.; Vrochidis, S.; Kompatsiaris, I. A Context-Aware Conversational Agent in the Rehabilitation Domain. Future Internet 2019, 11, 231.
Show more citation formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
