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Article

A Low-Cost Cognitive Assistant

1
ALGORITMI Centre, University of Minho, 4710-057 Braga, Portugal
2
Institut Valencià d’Investigació en Intel·ligència Artificial (VRAIN), Universitat Politècnica de València, 46022 València, Spain
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(2), 310; https://doi.org/10.3390/electronics9020310
Received: 29 December 2019 / Revised: 4 February 2020 / Accepted: 5 February 2020 / Published: 11 February 2020
(This article belongs to the Special Issue Machine Learning Techniques for Assistive Robotics)
In this paper, we present in depth the hardware components of a low-cost cognitive assistant. The aim is to detect the performance and the emotional state that elderly people present when performing exercises. Physical and cognitive exercises are a proven way of keeping elderly people active, healthy, and happy. Our goal is to bring to people that are at their homes (or in unsupervised places) an assistant that motivates them to perform exercises and, concurrently, monitor them, observing their physical and emotional responses. We focus on the hardware parts and the deep learning models so that they can be reproduced by others. The platform is being tested at an elderly people care facility, and validation is in process. View Full-Text
Keywords: cognitive assistants; aging; emotion recognition cognitive assistants; aging; emotion recognition
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MDPI and ACS Style

Costa, A.; Rincon, J.A.; Julian, V.; Novais, P.; Carrascosa, C. A Low-Cost Cognitive Assistant. Electronics 2020, 9, 310. https://doi.org/10.3390/electronics9020310

AMA Style

Costa A, Rincon JA, Julian V, Novais P, Carrascosa C. A Low-Cost Cognitive Assistant. Electronics. 2020; 9(2):310. https://doi.org/10.3390/electronics9020310

Chicago/Turabian Style

Costa, Angelo, Jaime A. Rincon, Vicente Julian, Paulo Novais, and Carlos Carrascosa. 2020. "A Low-Cost Cognitive Assistant" Electronics 9, no. 2: 310. https://doi.org/10.3390/electronics9020310

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