The Cuatroochenta Chair of AI, Health and Wellbeing of the UJI makes improvements to the Sally system for detecting frailty in the elderly



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## The Cuatroochenta Chair of AI, Health and Wellbeing of the UJI makes improvements to the Sally system for detecting frailty in the elderly

28/04/2023 |
SCP

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* [![ catedra480-sally sally](/com/noticies/2023/4/2q/catedra480-sally/sally.jpg)](#)

The Cuatroochenta Chair in Artificial Intelligence, Health and Wellbeing at the Universitat Jaume I has been working over the last few months on improvements to its Sally system, a technological solution for the early detection of frailty in the elderly. The team has implemented new adaptations in Sally, such as the incorporation of graphic animations and audio instructions to make it easier for the elderly to understand how to perform the exercises in front of the camera that captures their movements and assesses their physical condition. On the other hand, the technicians of the Chair have included machine learning techniques to improve the efficiency and accuracy of the detection and evaluation of the tests. Finally, the type of camera has been changed to one that is better suited to the objectives of the system.

During the month of April, a pilot test of Sally has been carried out in the adult neurological rehabilitation centre of the company Neural in Castelló, where a total of 16 patients have participated. The Chair has also had the collaboration of the director, Helena Mondragón, and the team of physiotherapists of the centre, whose feedback has been very useful to improve the validity and user experience of the system. Previously, the Chair had already carried out other tests in centres for the elderly in Castellón to ensure a participatory development and design, always with the participation of the end user.

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