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Deep HMResNet Model for Human Activity-Aware Robotic Systems [article]

Hazem Abdelkawy, Naouel Ayari, Abdelghani Chibani, Yacine Amirat and Ferhat Attal
2018 arXiv   pre-print

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2018 pre-print
arXiv:1809.07624v1 fatcat:3jqov3inivgshkjmfwctmfjxd4
In this paper, a novel Hierarchal Multichannel Deep Residual Network (HMResNet) model is proposed for robotic systems to recognize daily human activities in the ambient environments.  ...  Endowing the robotic systems with cognitive capabilities for recognizing daily activities of humans is an important challenge, which requires sophisticated and novel approaches.  ...  In this paper, A novel Hierarchal Multichannel Deep Residual Network (HMResNet) model is proposed for robotic systems to recognize daily human activities in the ambient environments.  ... 
arXiv:1809.07624v2 fatcat:wky66qai75erhkfew2fibekzy4
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Hazem Abdelkawy, Naouel Ayari, Abdelghani Chibani, Yacine Amirat and Ferhat Attal. "Deep HMResNet Model for Human Activity-Aware Robotic Systems." arXiv (2018)