Please use this identifier to cite or link to this item: https://repositorio.uti.edu.ec//handle/123456789/3279
Title: Using Kinect to Detect Gait Movement in Alzheimer Patients
Authors: Castillo-Salazar, David
Lanzarini, Laura
Guevara-Maldonado, César
Gómez, Héctor
Issue Date: 2021
Publisher: Advances in Intelligent Systems and Computing. Volume 1365 AIST, Pages 14 - 28. World Conference on Information Systems and Technologies, WorldCIST 2021. Virtual, Online. 1 April 2021 through 2 April 2021
Abstract: During the aging process, the elderly can experience a progressive and definitive deterioration in their gait, especially when they have neurological disorders such as Alzheimer’s disease. Effective treatment requires accurately assessing these issues in mechanical stability, the muscular-skeletal system, and postural reflexes. For Alzheimer patients in particular, gait analysis represents an important method for determining stability and treatment, which is the key objective of this investigation. Thus, this article describes the creation of a dataset on the walking gait, focusing on the distance covered by the patients and the angle of their legs as registered by a Kinect device. All patients were examined at a recognized center for elderly care in the canton of Ambato, Ecuador. We worked with a population of 30 Alzheimer patients whose ages ranged between 75 and 89 years old. The retrieved numerical data were processed with Diffused Logic, which, when based on a series of rules, can determine the instability and stability of a patient with a neurological illness. As a result, it was possible to create a dataset that included numerical values of the walking distance for each patient. This information will be important to future health care research, especially for physiotherapists and pose estimation
URI: https://link.springer.com/chapter/10.1007/978-3-030-72657-7_2
http://repositorio.uti.edu.ec//handle/123456789/3279
Appears in Collections:Artículos Científicos Indexados

Files in This Item:
There are no files associated with this item.


This item is licensed under a Creative Commons License Creative Commons