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Real-time recognition of Indian sign language
The real-time sign language recognition system is developed for recognising the gestures of
Indian Sign Language (ISL). Generally, sign languages consist of hand gestures and facial …
Indian Sign Language (ISL). Generally, sign languages consist of hand gestures and facial …
From perception to action using observed actions to learn gestures
Pervasive computing environments deliver a multitude of possibilities for human–computer
interactions. Modern technologies, such as gesture control or speech recognition, allow …
interactions. Modern technologies, such as gesture control or speech recognition, allow …
RoboCup@ Home: Scientific competition and benchmarking for domestic service robots
Being part of the RoboCup initiative, the RoboCup@ Home league targets the development
and deployment of autonomous service and assistive robot technology being essential for …
and deployment of autonomous service and assistive robot technology being essential for …
Recognition of dynamic hand gestures from 3D motion data using LSTM and CNN architectures
Hand gestures provide a natural, non-verbal form of communication that can augment or
replace other communication modalities such as speech or writing. Along with voice …
replace other communication modalities such as speech or writing. Along with voice …
Accessible options for deaf people in e-learning platforms: technology solutions for sign language translation
This paper presents a study on potential technology solutions for enhancing the
communication process for deaf people on e-learning platforms through translation of Sign …
communication process for deaf people on e-learning platforms through translation of Sign …
Local Extrema Min-Max Pattern: A novel descriptor for extracting compact and discrete features for hand gesture recognition
In this paper, a handcrafted feature descriptor namely Local Extrema Min–Max Pattern
(LEMMP) is introduced for static hand gesture recognition (HGR). LEMMP thoroughly …
(LEMMP) is introduced for static hand gesture recognition (HGR). LEMMP thoroughly …
Real-time and continuous hand gesture spotting: An approach based on artificial neural networks
New and more natural human-robot interfaces are of crucial interest to the evolution of
robotics. This paper addresses continuous and real-time hand gesture spotting, ie, gesture …
robotics. This paper addresses continuous and real-time hand gesture spotting, ie, gesture …
Hand gesture recognition algorithm using SVM and HOG model for control of robotic system
In this study, we propose the gesture recognition algorithm using support vector machines
(SVM) and histogram of oriented gradient (HOG). Besides, we also use the CNN model to …
(SVM) and histogram of oriented gradient (HOG). Besides, we also use the CNN model to …
3d hand pose estimation using randomized decision forest with segmentation index points
In this paper, we propose a real-time 3D hand pose estimation algorithm using the
randomized decision forest framework. Our algorithm takes a depth image as input and …
randomized decision forest framework. Our algorithm takes a depth image as input and …
[PDF][PDF] Hand gesture recognition for sign language: A new hybrid approach
This paper proposes two new approaches of hand gesture recognition which will recognize
sign language gestures in a real time environment. A hybrid feature descriptor, which …
sign language gestures in a real time environment. A hybrid feature descriptor, which …