Results 101 to 110 of about 2,481,661 (241)

Gesture Prediction Using Wearable Sensing Systems with Neural Networks for Temporal Data Analysis

open access: yesSensors, 2019
A human gesture prediction system can be used to estimate human gestures in advance of the actual action to reduce delays in interactive systems. Hand gestures are particularly necessary for human⁻computer interaction.
Takahiro Kanokoda   +3 more
doaj   +1 more source

Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd   +118 more
wiley   +1 more source

Navigation and interaction in a real-scale digital mock-up using natural language and user gesture [PDF]

open access: yes, 2014
This paper tries to demonstrate a very new real-scale 3D system and sum up some firsthand and cutting edge results concerning multi-modal navigation and interaction interfaces. This work is part of the CALLISTO-SARI collaborative project.
GENTY, Ariane   +8 more
core   +1 more source

Hand Gesture Gaming

open access: yesInternational Journal For Multidisciplinary Research
Hand gesture recognition has emerged as a promising interface for interactive gaming applications, offering intuitive and immersive experiences. This research paper explores the development and implementation of a hand gesture recognition system using Python for gaming purposes.
Kanchan Narware -   +5 more
openaire   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias   +3 more
wiley   +1 more source

The Bielefeld Speech and Gesture Alignment Corpus (SaGA) [PDF]

open access: yes, 2010
Lücking A, Bergmann K, Hahn F, Kopp S, Rieser H. The Bielefeld Speech and Gesture Alignment Corpus (SaGA). In: Kipp M, Martin J-P, Paggio P, Heylen D, eds.
Hahn, Florian   +8 more
core  

User-defined interface gestures : dataset and analysis [PDF]

open access: yes, 2014
We present a video-based gesture dataset and a methodology for annotating video-based gesture datasets. Our dataset consists of user-defined gestures generated by 18 participants from a previous investigation of gesture memorability.
Per Ola Kristensson   +6 more
core   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park   +5 more
wiley   +1 more source

iGesture: A Platform for Investigating Multimodal, Multimedia Gesture-based Interactions

open access: yes, 2005
This paper introduces the iGesture platform for investigating multimodal gesture based interactions in multimedia contexts. iGesture is a low-cost, extensible system that uses visual recognition of hand movements to support gesture-based input.
Lewis, Paul   +3 more
core   +1 more source

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