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 …
Retracted article: a study on Arabic sign language recognition for differently abled using advanced machine learning classifiers
M Mustafa - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
This study is proposed to review the sign language recognition system based on different
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …
SIBI sign language recognition using convolutional neural network combined with transfer learning and non-trainable parameters
N Thiracitta, H Gunawan - Procedia Computer Science, 2021 - Elsevier
Abstract Sign Language Recognition (SLR) is a complex classification problem to be solved.
Every language has their own syntax and grammar. New model combination and dataset is …
Every language has their own syntax and grammar. New model combination and dataset is …
Gesture recognition for Indonesian sign language (BISINDO)
Sign language is different from spoken language that emphasizes both the audio and verbal
aspects. There are two sign languages applicable in Indonesia, namely Indonesian Signal …
aspects. There are two sign languages applicable in Indonesia, namely Indonesian Signal …
A Survey of Hand Gesture Recognition Methods in Sign Language Recognition.
MC Ariesta, F Wiryana… - Pertanika Journal of …, 2018 - search.ebscohost.com
Sign Language is the only method used in communication between the hearing-impaired
community and common community. Sign Language Recognition (SLR) system, which is …
community and common community. Sign Language Recognition (SLR) system, which is …
Rail defect detection and classification with real time image processing technique
Rail defect detection has a great importance for railway transportation. Because faults on the
rails cause to problems such as the cost, the disruption of transportation and the safety. In …
rails cause to problems such as the cost, the disruption of transportation and the safety. In …
A robust gesture recognition using hand local data and skeleton trajectory
E Escobedo-Cardenas… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
In this paper, we propose a new approach for dynamic hand gesture recognition using
intensity, depth and skeleton joint data captured by Kinect TM sensor. The proposed …
intensity, depth and skeleton joint data captured by Kinect TM sensor. The proposed …
Rail defect detection with real time image processing technique
Rail defect detection has a great importance for railway transportation. Because faults on the
rails cause to problems such as the cost, the disruption of transportation and the safety. In …
rails cause to problems such as the cost, the disruption of transportation and the safety. In …
Feature extraction methods in sign language recognition system: a literature review
Sign language is a way to communicate between deaf-mute people and normal people by
performing hand gesture. Visual-based gesture recognition can help to overcome this …
performing hand gesture. Visual-based gesture recognition can help to overcome this …
A new approach for dynamic gesture recognition using skeleton trajectory representation and histograms of cumulative magnitudes
E Escobedo, G Camara - 2016 29th SIBGRAPI conference on …, 2016 - ieeexplore.ieee.org
In this paper, we present a new approach for dynamic hand gesture recognition that uses
intensity, depth, and skeleton joint data captured by Kinect sensor. This method integrates …
intensity, depth, and skeleton joint data captured by Kinect sensor. This method integrates …