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Title:

Virtual Falls: Application of VR in Fall Detection.

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Bui, Vinh; Bui, Minh Duc:
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
Fulltext / DOI:
doi:https://doi.org/10.1145/3385378.3385388
WWW:
https://dl.acm.org/doi/proceedings/10.1145/3385378
Copyright statement:
Format:
Text
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