Automatic analysis of hands clapping in severe Alzheimer patient via computer vision techniques

Warning The system is temporarily closed to updates for reporting purpose.

Öztürk, Övgü and Akgül, Ceyhun Burak and Erçil, Aytül and Şahiner, Melike and Şahiner, Türker (2011) Automatic analysis of hands clapping in severe Alzheimer patient via computer vision techniques. Alzheimer's and Dementia, 7 (4). ISSN 1552-5260 (Print) 1552-5279 (Online)

Full text not available from this repository. (Request a copy)

Abstract

Background: In this work, we present a hands clapping rhythm analysis module of a video analytics framework, which monitors elderly patients and automatically collect statistical data about patient activities. Hands clapping activity is analyzed in terms of frequency of clapping, extent of clapping, and direction change. A severe level Alzheimer patient was chosen from an elderly house. Methods: The main idea makes use of optical flow vectors which represent themotion change of image features in consecutive frames. The algorithm steps are composed of detecting optical flow vectors in skin regions, clustering based on the direction, calculating the average flow vector in each cluster and observing these vectors over time. The magnitude of the average flow represents the speed of motion.
Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Aytül Erçil
Date Deposited: 18 Oct 2012 15:08
Last Modified: 31 Jul 2019 11:42
URI: https://research.sabanciuniv.edu/id/eprint/19517

Actions (login required)

View Item
View Item