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Open AccessArticle

PHAROS 2.0—A PHysical Assistant RObot System Improved

1
RoViT, University of Alicante, 03690 San Vicente del Raspeig (Alicante), Spain
2
ALGORITMI Center, University of Minho, 4704-553 Braga, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4531; https://doi.org/10.3390/s19204531
Received: 15 August 2019 / Revised: 15 September 2019 / Accepted: 15 October 2019 / Published: 18 October 2019
(This article belongs to the Section Physical Sensors)
There are great physical and cognitive benefits for older adults who are engaged in active aging, a process that should involve daily exercise. In our previous work on the PHysical Assistant RObot System (PHAROS), we developed a system that proposed and monitored physical activities. The system used a social robot to analyse, by means of computer vision, the exercise a person was doing. Then, a recommender system analysed the exercise performed and indicated what exercise to perform next. However, the system needed certain improvements. On the one hand, the vision system captured the movement of the person and indicated whether the exercise had been done correctly or not. On the other hand, the recommender system was based purely on a ranking system that did not take into account temporal evolution and preferences. In this work, we propose an evolution of PHAROS, PHAROS 2.0, incorporating improvements in both of the previously mentioned aspects. In the motion capture aspect, we are now able to indicate the degree of completeness of each exercise, identifying the part that has not been done correctly, and a real-time performance correction. In this way, the recommender system receives a greater amount of information and so can more accurately indicate the exercise to be performed. In terms of the recommender system, an algorithm was developed to weigh the performance, temporal evolution and preferences, providing a more accurate recommendation, as well as expanding the recommendation to a batch of exercises, instead of just one. View Full-Text
Keywords: assistive robotics; active ageing; decision support system; cognitive assistant; deep learning assistive robotics; active ageing; decision support system; cognitive assistant; deep learning
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Martinez-Martin, E.; Costa, A.; Cazorla, M. PHAROS 2.0—A PHysical Assistant RObot System Improved. Sensors 2019, 19, 4531.

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