2020 International Joint Conference on Neural Networks (IJCNN) 2020
DOI: 10.1109/ijcnn48605.2020.9206637
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A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System

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Cited by 4 publications
(4 citation statements)
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“…The performance of these algorithms is between 93% and 97.4%. Regarding the speed, one has five FPS [ 81 ] and another 24 FPS [ 75 ]. The rest runs in real time.…”
Section: Discussion and Conclusionmentioning
confidence: 99%
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“…The performance of these algorithms is between 93% and 97.4%. Regarding the speed, one has five FPS [ 81 ] and another 24 FPS [ 75 ]. The rest runs in real time.…”
Section: Discussion and Conclusionmentioning
confidence: 99%
“…The rest runs in real time. In terms of computer resources, a computer with advanced hardware is used in [ 76 ], as well as robotic platforms such as MOBOT [ 77 ], Hobbit [ 80 ], Roomba [ 81 ], and a customized robot [ 78 ].…”
Section: Discussion and Conclusionmentioning
confidence: 99%
See 1 more Smart Citation
“…• To address this problem, efficient resource consumption is required. This can be solved by finding a balance between computational resources, and performance improvement [53]- [55].…”
Section: Related Workmentioning
confidence: 99%