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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Bui, Vinh; Bui, Minh Duc: 
Title:
Virtual Falls: Application of VR in Fall Detection. 
Pages contribution:
Session: Virtual Technology and Augmented Reality, pp. 64-69 
Abstract:
In this paper, we present an innovative application of Virtual Reality in human fall detection. Fall detection is a challenging problem in the public healthcare domain. Despite significant efforts into developing reliable and effective fall detection algorithms and devices by researchers and engineers, minimal success has been seen. The lack of recorded fall data and the data quality have been identified as a major obstacle. To address this issue, we are proposing a framework for generati...    »
 
Keywords:
Fall detection; fall detection dataset; virtual falls; VR in healthcare 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Book / Congress title:
ICVARS 2020. Proceedings of the 2020 4th International Conference on Virtual and Augmented Reality Simulations 
Congress (additional information):
Sydney NSW Australia 
Date of congress:
14. – 16.2.2020 
Publisher:
Association for Computing Machinery (ACM), New York, NY, United States. In-Cooperation: The University of Western Australia, Department of Electronic Engineering, University of Western Australia, Northumbria University, Macquarie University-Sydney 
Year:
2020 
E-ISBN:
978-1-4503-7694-5 
Reviewed:
ja 
Language:
en 
Publication format:
WWW 
Format:
Text