Smartphone Sensor vs Photogrammetry for Gait Analysis
Paper
Paper/Presentation Title | Smartphone Sensor vs Photogrammetry for Gait Analysis |
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Presentation Type | Paper |
Authors | Mnati, Mustafa N., Chong, Albert K. and Majeed, Ammar |
Journal or Proceedings Title | Proceedings of 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC) |
Journal Citation | pp. 130-133 |
Article Number | 8935766 |
Page Range | 130-133 |
Number of Pages | 4 |
Year | 2019 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | Singapore |
ISBN | 9781728136639 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICISPC.2019.8935766 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8935766 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/8931129/proceeding |
Conference/Event | 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC) |
Event Details | 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC) Delivery In person Event Date 27 to end of 29 Jul 2019 Event Location Singapore |
Abstract | Research has shown a remarkable growth in the use of smartphone and apps in the human movements. Accelerometer sensor within smartphone can be used to detect human movements and gait characteristics. The objective of current study is to evaluate the accelerometer data by comparing the captured data with camera image-based photogrammetric data. The smartphone has been attached on the lower lamp of the subjects. At the same time, four cameras will be used to capture images for the lower lamp movements. Then, compare the captured data from smartphone sensors and cameras. Five healthy subjects with no disability were recruited to walked two steps with ten replicated having smartphone attached in the right leg. The results were satisfactory with (0.935) correlation coefficient. Applications and limitations of this study are also discussed. |
Keywords | gait; photogrammetry; smartphone |
ANZSRC Field of Research 2020 | 4013. Geomatic engineering |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Southern Queensland |
Library Services |
https://research.usq.edu.au/item/yyv73/smartphone-sensor-vs-photogrammetry-for-gait-analysis
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