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.This work was partly supported by the FCT (Fundação para a Ciência e Tecnología) through the Post-Doc scholarship SFRH/BPD/102696/2014 (A. Costa), by the Generalitat Valenciana (PROMETEO/2018/002), and by the Spanish Government (RTI2018-095390-B-C31)

Carrascosa, Carlos

Costa, Ângelo Gonçalo Araújo Silva

Julian, Vicente

Novais, Paulo

Rincon, Jaime  A.

Electronics

English

Universidade do Minho: RepositoriUM

A low-cost cognitive assistant

[EN] 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.This work was partly supported by the FCT (Fundacao para a Ciencia e Tecnologia) through the Post-Doc scholarship SFRH/BPD/102696/2014 (A. Costa), by the Generalitat Valenciana (PROMETEO/2018/002), and by the Spanish Government (RTI2018-095390-B-C31).Araujo, A.; Rincón Arango, JA.; Julian Inglada, VJ.; Novais, P.; Carrascosa Casamayor, C. (2020). A Low-Cost Cognitive Assistant. Electronics. 9(2):1-19. https://doi.org/10.3390/electronics902031011992Licher, S., Darweesh, S. K. L., Wolters, F. J., Fani, L., Heshmatollah, A., Mutlu, U., … Ikram, M. A. (2018). Lifetime risk of common neurological diseases in the elderly population. Journal of Neurology, Neurosurgery & Psychiatry, 90(2), 148-156. doi:10.1136/jnnp-2018-318650Jaul, E., & Barron, J. (2017). Age-Related Diseases and Clinical and Public Health Implications for the 85 Years Old and Over Population. Frontiers in Public Health, 5. doi:10.3389/fpubh.2017.00335Brasure, M., Desai, P., Davila, H., Nelson, V. A., Calvert, C., Jutkowitz, E., … Kane, R. L. (2017). Physical Activity Interventions in Preventing Cognitive Decline and Alzheimer-Type Dementia. 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Araujo, Angelo

Rincón Arango, Jaime Andrés

Julian Inglada, Vicente Javier

Carrascosa Casamayor, Carlos

RiuNet

A Low-Cost Cognitive Assistant

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

Angelo Costa

Multidisciplinary Digital Publishing Institute

http://repositorium.sdum.uminho.pt/bitstream/1822/64176/1/electronics-09-00310-v2.pdf

A low-cost cognitive assistant

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Universidade do Minho: RepositoriUM

RiuNet

Multidisciplinary Digital Publishing Institute