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Max-pooling convolutional neural networks for vision-based hand gesture recognition

Open access
Nagi, Jawad, Ducatelle, Frederick, Di Caro, Gianni A., Ciresan, Dan, Meier, Ueli, Giusti, Alessandro, Nagi, Farrukh, Schmidhuber, Jurgen, Gambardella, Luca Maria·2011·2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

Abstract

Automatic recognition of gestures using computer vision is important for many real-world applications such as sign language recognition and human-robot interaction (HRI). Our goal is a real-time hand gesture-based HRI interface for mobile robots. We use a state-of-the-art big and deep neural network (NN) combining convolution and max-pooling (MPCNN) for supervised feature learning and classification of hand gestures given by humans to mobile robots using colored gloves. The hand contour is retrieved by color segmentation, then smoothened by morphological image processing which eliminates noisy edges. Our big and deep MPCNN classifies 6 gesture classes with 96% accuracy, nearly three times better than the nearest competitor. Experiments with mobile robots using an ARM 11 533MHz processor achieve real-time gesture recognition performance.

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Metadata

Authors
Nagi, J., Ducatelle, F., Di Caro, G. A., Ciresan, D., Meier, U., Giusti, A., Nagi, F., Schmidhuber, J., & Gambardella, L. M.
Venue
2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
Publisher
IEEE
Published
2011-11
Pages
342-347
OpenAlex
W2074772891
Cited by
644
References
6
FWCI
5.49
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Max-pooling convolutional neural networks for vision-based hand gesture recognition. https://app.cochat.ai/papers/10.1109/icsipa.2011.6144164
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Nagi, J., Ducatelle, F., Di Caro, G. A., Ciresan, D., Meier, U., Giusti, A., Nagi, F., Schmidhuber, J., & Gambardella, L. M. (2011). Max-pooling convolutional neural networks for vision-based hand gesture recognition. 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). https://doi.org/10.1109/icsipa.2011.6144164

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