Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors
In contrast to speech recognition, whose speech features have been extensively explored in
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
[PDF][PDF] Hand gesture recognition with 3D convolutional neural networks
Touchless hand gesture recognition systems are becoming important in automotive user
interfaces as they improve safety and comfort. Various computer vision algorithms have …
interfaces as they improve safety and comfort. Various computer vision algorithms have …
A survey of applications and human motion recognition with microsoft kinect
R Lun, W Zhao - International Journal of Pattern Recognition and …, 2015 - World Scientific
Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers
or game consoles naturally through gestures and spoken commands without any other …
or game consoles naturally through gestures and spoken commands without any other …
Multi-sensor system for driver's hand-gesture recognition
We propose a novel multi-sensor system for accurate and power-efficient dynamic car-driver
hand-gesture recognition, using a short-range radar, a color camera, and a depth camera …
hand-gesture recognition, using a short-range radar, a color camera, and a depth camera …
Tiny hand gesture recognition without localization via a deep convolutional network
Visual hand-gesture recognition is being increasingly desired for human-computer
interaction interfaces. In many applications, hands only occupy about 10% of the image …
interaction interfaces. In many applications, hands only occupy about 10% of the image …
Motion estimation and hand gesture recognition-based human–UAV interaction approach in real time
M Yoo, Y Na, H Song, G Kim, J Yun, S Kim, C Moon… - Sensors, 2022 - mdpi.com
As an alternative to traditional remote controller, research on vision-based hand gesture
recognition is being actively conducted in the field of interaction between human and …
recognition is being actively conducted in the field of interaction between human and …
[書籍][B] Machine learning for audio, image and video analysis: theory and applications
F Camastra, A Vinciarelli - 2015 - books.google.com
This second edition focuses on audio, image and video data, the three main types of input
that machines deal with when interacting with the real world. A set of appendices provides …
that machines deal with when interacting with the real world. A set of appendices provides …
3D separable convolutional neural network for dynamic hand gesture recognition
Dynamic hand gesture recognition, as an essential part of Human–Computer Interaction,
and especially an important way to realize Augmented Reality, has been attracting attention …
and especially an important way to realize Augmented Reality, has been attracting attention …
Hand gesture recognition with convolution neural networks
F Zhan - 2019 IEEE 20th international conference on …, 2019 - ieeexplore.ieee.org
Hand gestures are the most common forms of communication and have great importance in
our world. They can help in building safe and comfortable user interfaces for a multitude of …
our world. They can help in building safe and comfortable user interfaces for a multitude of …
A unified framework for multi-modal isolated gesture recognition
In this article, we focus on isolated gesture recognition and explore different modalities by
involving RGB stream, depth stream, and saliency stream for inspection. Our goal is to push …
involving RGB stream, depth stream, and saliency stream for inspection. Our goal is to push …