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Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
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Joseph Gesnouin, Steve Pechberti, Guillaume Bresson, Bogdan Stanciulescu and Fabien Moutarde
Understanding the behaviors and intentions of humans is still one of the main challenges for vehicle autonomy. More specifically, inferring the intentions and actions of vulnerable actors, namely pedestrians, in complex situations such as urban traffic s...
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Wang Xi, Guillaume Devineau, Fabien Moutarde and Jie Yang
Generative models for images, audio, text, and other low-dimension data have achieved great success in recent years. Generating artificial human movements can also be useful for many applications, including improvement of data augmentation methods for hu...
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Hanif Fakhrurroja,Carmadi Machbub,Ary Setijadi Prihatmanto,Ayu Purwarianti
Pág. pp. 44 - 67
This paper proposes a way to control home appliances using a multimodal interaction system such as speech, gestures, and smartphone applications. The sensor to capture speech, in the Indonesian language, and gestures from users are Kinect v2. Speech reco...
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