Results 41 to 50 of about 430,041 (297)

How do minimally verbal children and adolescents with autism spectrum disorder use communicative gestures to complement their spoken language abilities?

open access: yesAutism and Developmental Language Impairments, 2021
Background and aims Prior work has examined how children and adolescents with autism spectrum disorder who are minimally verbal use their spoken language abilities during interactions with others.
Chelsea La Valle   +2 more
doaj   +1 more source

Principal component analysis of photoplethysmography signals for improved gesture recognition

open access: yesFrontiers in Neuroscience, 2022
In recent years, researchers have begun to introduce photoplethysmography (PPG) signal into the field of gesture recognition to achieve human-computer interaction on wearable device.
Yuwen Ruan   +3 more
doaj   +1 more source

A fast algorithm for vision-based hand gesture recognition for robot control [PDF]

open access: yes, 2006
We propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for a robot control application. Hand gesture recognition is a challenging problem in its general form.
Cetin, Mujdat   +4 more
core   +1 more source

Gesture Anak Autis dalam Menyelesaikan Soal Matematika Materi Penjumlahan Bilangan Bulat

open access: yesJurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 2019
: Children with autism spectrum disorders or ASD are one of the developmental disorders of the nerves that are characterized by social and communication definitions.
Rizky Nova Damayanti   +2 more
doaj   +1 more source

The use and function of gestures in word-finding difficulties in aphasia [PDF]

open access: yes, 2018
Background: Gestures are spontaneous hand and arm movements that are part of everyday communication. The roles of gestures in communication are disputed. Most agree that they augment the information conveyed in speech. More contentiously, some argue that
Dipper, L., Kistner, J., Marshall, J.
core   +1 more source

Dendritic cells steering antigen and leukocyte traffic in lymph nodes

open access: yesFEBS Letters, EarlyView.
Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta   +3 more
wiley   +1 more source

Research on Gesture Recognition Method Based on Computer Vision

open access: yesMATEC Web of Conferences, 2018
Gesture recognition is an important way of human-computer interaction. With time going on, people are no longer satisfied with gesture recognition based on wearable devices, but hope to perform gesture recognition in a more natural way.
Wang Xianghan   +4 more
doaj   +1 more source

Evaluating the utility of two gestural discomfort evaluation methods. [PDF]

open access: yesPLoS ONE, 2017
Evaluating physical discomfort of designed gestures is important for creating safe and usable gesture-based interaction systems; yet, gestural discomfort evaluation has not been extensively studied in HCI, and few evaluation methods seem currently ...
Minseok Son, Jaemoon Jung, Woojin Park
doaj   +1 more source

Deep Gesture Generation for Social Robots Using Type-Specific Libraries [PDF]

open access: yesarXiv, 2022
Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech more lively but also contain semantic meaning that helps to stress important information in the discussion. In the field of robotics, giving conversational agents (humanoid robots or virtual avatars) the ability to ...
arxiv  

Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]

open access: yes, 2018
Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco   +3 more
core   +1 more source

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