references.bib

@InProceedings{reference_1,
author="N{\'u}{\~{n}}ez Fern{\'a}ndez, Dennis
and Kwolek, Bogdan",
editor="Mendoza, Marcelo
and Velast{\'i}n, Sergio",
title="Hand Posture Recognition Using Convolutional Neural Network",
booktitle="Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="441--449",
abstract="In this work we present a convolutional neural network-based algorithm for recognition of hand postures on images acquired by a single color camera. The hand is extracted in advance on the basis of skin color distribution. A neural network-based regressor is applied to locate the wrist. Finally, a convolutional neural network trained on 6000 manually labeled images representing ten classes is executed to recognize the hand posture in a sub-window determined on the basis of the wrist. We show that our model achieves high classification accuracy, including scenarios with different camera used in testing. We show that the convolutional network achieves better results on images pre-filtered by a Gabor filter.",
isbn="978-3-319-75193-1"
}

@INPROCEEDINGS{reference_2,
author={D. N. {Fernández}},
booktitle={2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)},
title={A Real-Time Recognition System for User Characteristics Based on Deep Learning},
year={2018},
volume={},
number={},
pages={1-4},
keywords={convolution;feedforward neural nets;image classification;learning (artificial intelligence);real-time recognition system;deep learning;classification process;convolutional neural networks;Emotion recognition;Face;Training;Real-time systems;Time factors;Testing;Feature extraction;Recognition System;Convolutional Neural Networks;Human-Machine Interaction},
doi={10.1109/INTERCON.2018.8526381},
ISSN={},
month={Aug},}

@INPROCEEDINGS{reference_3,
author={D. {Núñez Fernández} and S. {Hosseini}},
booktitle={2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)},
title={Real-Time Handwritten Letters Recognition on an Embedded Computer Using ConvNets},
year={2018},
volume={},
number={},
pages={1-4},
keywords={convolutional neural nets;feature extraction;handwritten character recognition;ConvNets;handwritten letters recognition;embedded computer;convolutional neural network;computational resources;dataset EMNIST;Raspberry Pi 3 board;Training;Handwriting recognition;Computer architecture;Real-time systems;Hidden Markov models;Time factors;Power demand;ConvNets;Convolutional Neural Networks;Embedded Computer;Human-Machine Interface},
doi={10.1109/SHIRCON.2018.8592981},
ISSN={},
month={Nov},}