Rincón Arango, Jaime AndrésMarco Detchart, CedricJulian, VicenteCarrascosa, Carlos2025-05-062025-05-062023-08-21Rincon, 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_51.978-3-031-39964-010.1007/978-3-031-39965-7_51https://academica-e.unavarra.es/handle/2454/54068This 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.application/pdfeng© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG.EDGE AIAssistant robotArtificial visionElderly peopleRehabilitationinfo:eu-repo/semantics/conferenceObject2025-05-06info:eu-repo/semantics/openAccess