Results 41 to 50 of about 5,341,863 (279)
Peruvian Sign Language Recognition Using Recurrent Neural Networks
, 2022 Deaf people generally face difficulties in their daily lives when they try to communicate with hearing people, this is due to the lack of sign language knowledge in the country.
Barrientos-Villalta, Geraldine Fiorella +2 more
core +1 more source
A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units [PDF]
, 2007 This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer.
Awad, George M.
core +2 more sources
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019 In this paper, we propose an approach, for sign language recognition, that makes use of a virtual reality headset to create an immersive environment. We show how features from data acquired by the Leap Motion controller, using an egocentric view, can be used to automatically recognize a user signed gesture.
Jacob Schioppo +3 more
openaire +3 more sources
Informatics in Medicine Unlocked, 2022 Sign language is a language used for communication of the deaf and dumb (D&D) community. To avoid difficulties in communication among themselves and also among normal people, transfer learning-based automatic sign language recognition can play a great ...
Md. Monirul Islam +3 more
doaj +1 more source
A survey on sign language literature
Machine Learning with Applications, 2023 Individuals with hearing impairment encounter various types and levels of difficulties, highlighting the need for more research to provide effective support. One significant difficulty is communication and interaction with others.
Marie Alaghband +2 more
doaj +1 more source
American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach
Sensors, 2018 Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj +1 more source
IoT Based Sign Language Recognition System [PDF]
, 2020 Sign language is the key communication medium which deaf and mute people use in their day-to-day life Talking to disabled people will cause a difficult situation since a non- mute person cannot understand their hand gestures and in many instances mute ...
Raveen Wijayawickrama +3 more
core
IEEE AccessThe Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao +3 more
doaj +1 more source
A multistage hierarchical algorithm for hand shape recognition [PDF]
, 2009 This paper represents a multistage hierarchical algorithm for hand shape recognition using principal component analysis (PCA) as a dimensionality reduction and a feature extraction method.
Shoukry, Amin A. +5 more
core +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source