Low Power Architecture Exploration for Standalone Fall Detection System Based on Computer Vision
- DOI
- 10.1109/ems.2014.100
- Published
- 2014-10
- Container
- 2014 European Modelling Symposium
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/ems.2014.100,
title = {Low Power Architecture Exploration for Standalone Fall Detection System Based on Computer Vision},
author = {Hong Thi Khanh Nguyen and Hassoon Fahama and Cecile Belleudy and Tuan Van Pham},
year = {2014},
journal = {2014 European Modelling Symposium},
doi = {10.1109/ems.2014.100},
url = {https://doi.org/10.1109/ems.2014.100}
}RIS
TY - JOUR TI - Low Power Architecture Exploration for Standalone Fall Detection System Based on Computer Vision AU - Hong Thi Khanh Nguyen AU - Hassoon Fahama AU - Cecile Belleudy AU - Tuan Van Pham PY - 2014 JO - 2014 European Modelling Symposium DO - 10.1109/ems.2014.100 UR - https://doi.org/10.1109/ems.2014.100 ER -
APA
Nguyen, H. T. K., Fahama, H., Belleudy, C., & Pham, T. V. (2014). Low Power Architecture Exploration for Standalone Fall Detection System Based on Computer Vision. 2014 European Modelling Symposium. https://doi.org/10.1109/ems.2014.100
Source records
- crossref · retrieved 2026-09-25T03:18:06.222Z