Results 101 to 110 of about 1,149,368 (349)
Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network
, 2015 Automatic sign language recognition is an open problem that has received a lot of attention recently, not only because of its usefulness to signers, but also due to the numerous applications a sign classifier can have.
Giguère, Philippe +1 more
core +1 more source
Unperceivable Designs of Wearable Electronics
Advanced Materials, EarlyView.Unperceivable wearable technologies seamlessly integrate into everyone's daily life, for healthcare and Internet‐of‐Things applications. By remaining completely unnoticed both visually and tactilely, by the user and others, they ensure medical privacy and allow natural social interactions.
Yijun Liu +2 more
wiley +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
American sign language finger challenge [PDF]
, 2010 In current websites and computer assisted learning programs, there are no interactive products that truly present real time fingerspelling in American Sign Language (ASL).
Cougler, Jeffrey
core +1 more source
Manufacture of 3D Compact Graphene Oxide Macrostructures
Advanced Materials Interfaces, EarlyView.This article discusses methods to manufacture 3D graphene oxide‐based compact macrostructures, including molding, origami and kirigami, stimuli‐responsive deformation, and 3D printing. The compact morphology makes the graphene oxide‐based structures achieve high mechanical stiffness and strength to satisfy applications that need excellent mechanical ...
Siyu Liu
wiley +1 more source
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
, 2018 There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language ...
Chai Xiujuan +5 more
core +1 more source
Organic Ferroelectric Synaptic Transistors for Neural Image Recognition Networks
Advanced Materials Interfaces, EarlyView.All organic transistors, where both the dielectric and semiconducting layers are polymeric, are developed as electrical synaptic devices. Two copolymers of PVDF as the dielectric layer with large differences in their saturation polarizability and memory window are chosen.
Evan Restuccia +2 more
wiley +1 more source
, 2023 American Journal of Medical Genetics Part A, Volume 191, Issue 1, Page 284-288, January 2023.
Lucia Pia Bruno +11 more
wiley +1 more source
Towards a Classification of Weak Hand Holds
Open Linguistics, 2016 The two symmetrical manual articulators (the hands) in signed languages are a striking modalityspecific phonetic property. The weak hand can maintain the end position of an articulation while the other articulator continues to produce additional signs ...
Kimmelman Vadim +2 more
doaj +1 more source
American Sign Language Identification Using Hand Trackpoint Analysis [PDF]
arXiv, 2020 Sign Language helps people with Speaking and Hearing Disabilities communicate with others efficiently. Sign Language identification is a challenging area in the field of computer vision and recent developments have been able to achieve near perfect results for the task, though some challenges are yet to be solved.
arxiv