Conference paper
Virtual Falls: Application of VR in Fall Detection
International Conference on Virtual and Augmented Reality Simulations, 4th (Sydney, Australia, 14/02/2020 - 16/02/2020)
16/02/2020
Metrics
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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 generating fall data in virtual environments. Our initial results have indicated that the virtual fall data generated using the proposed framework are of sufficient quality and could be used to improve fall detection algorithms. Although the approach proposed is to be used for fall detection, it is fully applicable to other domains that require training data. CCS Concepts • Applied computing➝Life and medical sciences • Computer vision➝Computer vision problems. Keywords Fall detection; fall detection dataset; virtual falls; VR in healthcare.
Details
- Title
- Virtual Falls: Application of VR in Fall Detection
- Creators
- Vinh Bui (Corresponding Author) - Southern Cross UniversityMinh Bui (Author) - University of Queensland
- Conference
- International Conference on Virtual and Augmented Reality Simulations, 4th (Sydney, Australia, 14/02/2020 - 16/02/2020)
- Identifiers
- 991012870999902368
- Academic Unit
- School of Business and Tourism; Faculty of Science and Engineering; Faculty of Business, Law and Arts; Information Technology
- Language
- English
- Resource Type
- Conference paper