Cognitive assistant for physical exercise monitoring in hand rehabilitation

Date

2023-08-21

Authors

Rincón Arango, Jaime Andrés
Julian, Vicente
Carrascosa, Carlos

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión aceptada / Onetsi den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123673OB-C31/ES/ recolecta
Impacto
OpenAlexGoogle Scholar
cited by count

Abstract

This paper introduces a novel, affordable companion robot that has been designed for rehabilitation purposes among the elderly population. The robot is equipped with a camera that records exercises, and an animation screen that delivers clear and easy-to-follow instructions and feedback. To evaluate the device, a machine learning algorithm was used on a dataset of therapy exercises. The results indicate that the robot effectively recognizes gestures and accurately identifies the exercises being performed. This study presents a groundbreaking and cost-effective solution for elderly rehabilitation and has the potential to revolutionize the industry with its cutting-edge technology.

Description

Keywords

EDGE AI, Assistant robot, Artificial vision, Elderly people, Rehabilitation

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Rincon, J. A., Marco-Detchart, C., Julian, V. Carrascosa, C. (2023). Cognitive assistant for physical exercise monitoring in hand rehabilitation. In Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo M. (Eds.), Fuzzy logic and technology, and aggregation operators: 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023, Palma de Mallorca, Spain, September 4¿8, 2023, proceedings (pp. 620-629). Springer. https://doi.org/10.1007/978-3-031-39965-7_51.

item.page.rights

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG.

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