Proceedings ArticleDOI
Morphological Based Dynamic Hand Gesture Recognition for Indian Sign Language
Reads0
Chats0
TLDR
This paper aims to manufacture a dynamic gesture of hand identification artifice for Indian kinesics using morphological algorithms and presents the interpretation of the sign on the screen in text format.Abstract:
Kinesics has a decisive role for the mute and deaf for inter personal communication. It necessitates body postures, face expressions and movement of hands Due to the diversity of population, each region has genus of sign language based on its individual rule of grammar. The objective is to manufacture a dynamic gesture of hand identification artifice for Indian kinesics using morphological algorithms. The pithy frames are extricated from the captured video for feature extrication and the interpretation of the sign is displayed on the screen in text format.read more
Citations
More filters
Proceedings ArticleDOI
A review on Artificial Intelligence based Sign Language Recognition Techniques
Kakoli Banerjee,Kannikanti Gavash Harsha,Indira Vats,P. Vinooth,Piyush Dasila,Naved Akhtar,Ajay Kumar,Prajjwal Gautam +7 more
TL;DR: Sign Language recognition is a growing field of interest in the domain of Artificial Intelligence, and many tools have been created to automate this process using image recognition techniques as discussed by the authors , which are used to classify sign language and map them into their corresponding meaning in the English language.
Proceedings ArticleDOI
A review on Artificial Intelligence based Sign Language Recognition Techniques
TL;DR: Sign Language recognition is a growing field of interest in the domain of Artificial Intelligence, and many tools have been created to automate this process using image recognition techniques as mentioned in this paper , which are used to classify sign language and map them into their corresponding meaning in the English language.
Proceedings ArticleDOI
A review on Artificial Intelligence based Sign Language Recognition Techniques
Kakoli Banerjee,Indira Vats,Naved Akhtar,K. G. Harsha,P. Vinooth,Ajay Kumar,Piyush Dasila,Prajjwal Gautam +7 more
TL;DR: Sign Language recognition is a growing field of interest in the domain of Artificial Intelligence, and many tools have been created to automate this process using image recognition techniques as discussed by the authors , which are used to classify sign language and map them into their corresponding meaning in the English language.
Proceedings ArticleDOI
A Systematic Review of Machine Learning Approaches for Classifying Indian Sign Language Gestures and Facial Expressions
TL;DR: In this paper , a study on hand gestures, recognition, and translation in Indian Sign Language (ISL) is presented, which aims to build an essential foundation for developing a platform to facilitate communication for the deaf with anyone.
Proceedings ArticleDOI
A review on Artificial Intelligence based Sign Language Recognition Techniques
TL;DR: Sign Language recognition is a growing field of interest in the domain of Artificial Intelligence, and many tools have been created to automate this process using image recognition techniques as discussed by the authors , which are used to classify sign language and map them into their corresponding meaning in the English language.
References
More filters
Journal ArticleDOI
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor
TL;DR: A novel distance metric, Finger-Earth Mover's Distance (FEMD), is proposed, which only matches the finger parts while not the whole hand, it can better distinguish the hand gestures of slight differences.
Journal ArticleDOI
Static and Dynamic Hand Gesture Recognition in Depth Data Using Dynamic Time Warping
TL;DR: This paper discusses the development of a natural gesture user interface that tracks and recognizes in real time hand gestures based on depth data collected by a Kinect sensor and outperforms most of the solutions for the static recognition of sign digits and is similar in terms of performance for the dynamic recognition of popular signs and for the sign language alphabet.
Proceedings ArticleDOI
Real time Hand Gesture Recognition using different algorithms based on American Sign Language
TL;DR: The purpose of this paper is to represent a real time HGR system based on American Sign Language (ASL) recognition with greater accuracy and a new algorithm is proposed which basically combines K curvature and convex hull algorithms.
Proceedings ArticleDOI
Human computer interaction using face and gesture recognition
TL;DR: Two new methods are presented in this paper: automatic gesture area segmentation and orientation normalization of the hand gesture, which can be used to control multiple devices, including robots simultaneously through a wireless network.
Proceedings ArticleDOI
Real time hand gesture recognition for computer interaction
TL;DR: A new approach called “Curvature of Perimeter” is presented with its application as a virtual mouse with algorithms developed using computer vision, image and the video processing toolboxes of Matlab.