A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
A multimodal LIBRAS-UFOP Brazilian sign language dataset of minimal pairs using a microsoft Kinect sensor
Sign language recognition has made significant advances in recent years. Many
researchers show interest in encouraging the development of different applications to …
researchers show interest in encouraging the development of different applications to …
Sign languages to speech conversion prototype using the SVM classifier
MM Chandra, S Rajkumar… - TENCON 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Around 70 million people in this world are mute people. There are children who suffer from
Nonverbal Autism. Communication between the people with speech impairment and normal …
Nonverbal Autism. Communication between the people with speech impairment and normal …
[PDF][PDF] Sign language interpreter using image processing and machine learning
O Vedak, P Zavre, A Todkar, M Patil - International Research Journal …, 2019 - academia.edu
Speech impairment is a disability which affects one's ability to speak and hear. Such
individuals use sign language to communicate with other people. Although it is an effective …
individuals use sign language to communicate with other people. Although it is an effective …
Superresolution Reconstruction in Automatic Thai Sign Language Feature Extraction Using Adaptive Triangulation Interpolation.
Superresolution is an image processing technique for improving image quality and
enhancing low-resolution images. This paper presents a novel interpolation method for …
enhancing low-resolution images. This paper presents a novel interpolation method for …
A Super-Resolution Image Reconstruction using Triangulation Interpolation in Feature Extraction for automatic sign language recognition
This paper presents the performance of the super-resolution visualization by Triangular
Interpolation algorithm to extract characteristic in sign language recognition. By compares …
Interpolation algorithm to extract characteristic in sign language recognition. By compares …
A review paper on sign language recognition using machine learning techniques
RK Jain, SK Rathi - Emerging Trends in Data Driven Computing and …, 2021 - Springer
Correspondence is a significant piece of our lives. Hearing disabled individuals who can't
talk experience various issues while bantering with regular people. These individuals locally …
talk experience various issues while bantering with regular people. These individuals locally …
Wireless wearable for sign language translator device with Android-based app
S ign language translator device is an assistive device that helps hearing impaired and
normal people communicate with each other. The device can be either a camera vision …
normal people communicate with each other. The device can be either a camera vision …
Sign language detection
R Sudhakar, V Gayathri, P Gomathi, S Renuka… - South Asian Journal of …, 2023 - sajet.in
This project focuses on detection of sign for hand gesture techniques and introduces merits
and drawbacks in various circumstances. The hand segmentation theory and hand detection …
and drawbacks in various circumstances. The hand segmentation theory and hand detection …
Vietnamese Sign Language Recognition using Dynamic Object Extraction and Deep Learning
Sign languages were invented to help deaf-mute people can communicate with each other
and with ordinary people. This paper proposes a novel method to recognize the VSL …
and with ordinary people. This paper proposes a novel method to recognize the VSL …