Results 91 to 100 of about 49,479 (310)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Eye Gaze and Eye Movement in Japanese Sign Language
, 2016 Eye gaze and eye movement in JSL (=Japanese Sign Language) are linguistic elements, as they are in American Sign Language (Thompson 2006) and German Sign Language (Hosemann 2009).
359, Saito, Kurumi
core +1 more source
Resources for computer-based sign recognition from video, and the criticality of consistency of gloss labeling across multiple large ASL video corpora [PDF]
, 2022 The WLASL purports to be “the largest video dataset for Word-Level American Sign Language (ASL) recognition.” It brings together various publicly shared video collections that could be quite valuable for sign recognition research, and it has been used ...
Neidle, Carol +6 more
core
Idioms and other constructions in American Sign Language
Cognitive LinguisticsIdioms are phrases like English [hit the sack], meaning ‘go to bed’. For linguists working with sign languages, a question arises: “What do idioms look like in a sign language?” This paper proposes a definition of idiom that can be used to identify ...
Lepic Ryan
doaj +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +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
Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data
Data in BriefSign language is a very important mode of communication among deaf and hard-of-hearing populations. Automatic sign language detection based on deep learning model is the theme of this study.
Bindu Garg +9 more
doaj +1 more source
As línguas de bilíngues bimodais [PDF]
Linguística, 2016 This paper presents a study about the linguistic behavior of four bimodal bilinguals (two Americans and two Brazilians) who had acquired a sign language at home, a heritage language (American Sign Language – ASL – or Brazilian Sign Language – Libras ...
Ronice Müller de Quadros +2 more
doaj
Sign production by first-time hearing signers: a closer look at handshape accuracy
Cadernos de Saúde, 2009 This paper presents phonetic analysis of hand configurations elicited from hearing adults exposed for the first time to signs in American Sign Language.
Deborah Chen Pichler
doaj +1 more source
Advanced Science, EarlyView.Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source