Proposal for a Deep Learning Architecture for Activity Recognition
نویسندگان
چکیده
Activity recognition from computer vision plays an important role in research towards applications like human computer interfaces, intelligent environments, surveillance or medical systems. In this paper, we propose a gesture recognition system based on a deep learning architecture and show how it performs when trained with changing multimodal input data on an Italian sign language dataset. The results show the importance of choosing the right data representation for activity recognition tasks. Index Term— Activity recognition, Computer vision, Deep learning, Multimodal learning
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