Alzheimer’s disease detection using skeleton data recorded with Kinect camera

• Published in: Cluster computing Vol. 23; no. 2; pp. 1469 - 1481
• Main Authors: Seifallahi, Mahmoud, Soltanizadeh, Hadi, Hassani Mehraban, Afsoon, Khamseh, Fatemeh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2020; Springer Nature B.V
• Subjects: Cameras; Classification; Cognitive ability; Computer Communication Networks; Computer Science; Disease; Exercise; Gait; Older people; Operating Systems; Processor Architectures; Sensors; Statistical analysis; Support vector machines; Three dimensional imaging; Walking; Alzheimer detection; Kinect camera; Support vector machine; Gait analysis; Classification

Alzheimer’s disease (AD) is a neurodegenerative disease that leads to defects in cognitive and functional abilities of elderly people. In this paper, a novel methodology is presented to detect Alzheimer’s disease using recorded skeleton data with a KinectV.2 camera from the subject’s gait. After cli...