Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/149501
Author(s): | Quintas, J Pais, J Martins, AI Santos, H Neves, L Sousa, S Benhsain, D Dierick, F Callén, A Cunha, A Rocha, NP Cruz, VT |
Title: | Cognivitra, a digital solution to support dual-task rehabilitation training |
Publisher: | MDPI |
Issue Date: | 2021 |
Abstract: | This article focuses on an eHealth application, CogniViTra, to support cognitive and physical training (i.e., dual-task training), which can be done at home with supervision of a health care provider. CogniViTra was designed and implemented to take advantage of an existing Platform of Services supporting a Cognitive Health Ecosystem and comprises several components, including the CogniViTra Box (i.e., the patient terminal equipment), the Virtual Coach to provide assistance, the Game Presentation for the rehabilitation exercises, and the Pose and Gesture Recognition to quantify responses during dual-task training. In terms of validation, a functional prototype was exposed in a highly specialized event related to healthy and active ageing, and key stakeholders were invited to test it and share their insights. Fifty-seven specialists in information-technology-based applications to support healthy and active ageing were involved and the results and indicated that the functional prototype presents good performance in recognizing poses and gestures such as moving the trunk to the left or to the right, and that most of the participants would use or suggest the utilization of CogniViTra. In general, participants considered that CogniViTra is a useful tool and may represent an added value for remote dual-task training. |
Subject: | cognitive function rehabilitation cognitive training dual-task training home care |
URI: | https://hdl.handle.net/10216/149501 |
Source: | Electronics 2021; 10 (1304) |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | ISPUP - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
quintas-e-2021.pdf | 6.42 MB | Adobe PDF | ![]() View/Open |
This item is licensed under a Creative Commons License