Results 111 to 120 of about 15,703 (300)

Automatic Labeling of Multi-Modal Sensor Training Data for Hand Gesture Analysis

Current Directions in Biomedical Engineering
Hand gesture recognition is an important task in human-machine interaction, enabling intuitive and accessible control methods across various applications, including assistive technologies, virtual reality or sign language translation.
Hetto Tom, Reischl Markus
doaj   +1 more source

A Hybrid Image Augmentation Technique for User- and Environment-Independent Hand Gesture Recognition Based on Deep Learning

Mathematics
This research stems from the increasing use of hand gestures in various applications, such as sign language recognition to electronic device control.
Baiti-Ahmad Awaluddin, Chun-Tang Chao, Juing-Shian Chiou   +2 more
doaj   +1 more source

Method for User Interface of Large Displays Using Arm Pointing and Finger Counting Gesture Recognition

The Scientific World Journal, 2014
Although many three-dimensional pointing gesture recognition methods have been proposed, the problem of self-occlusion has not been considered. Furthermore, because almost all pointing gesture recognition methods use a wide-angle camera, additional ...
Hansol Kim, Yoonkyung Kim, Eui Chul Lee
doaj   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

A framework for research and design of gesture-based human-computer interactions [PDF]

, 2006
Gestures have long been considered an interaction technique that can potentially deliver more natural, creative and intuitive methods for communicating with our computers. For over 40 years, gestures provided an alternative input mode to the keyboard and
Karam, Maria
core  

Human Hand Gesture Recognition [PDF]

, 2021
A Human Computer Interaction(HCI) between computers and human understands human language and improve a user friendly interface. Gestures a non-verbal form of communication supplies the HCI interface.
Sayed, Usama, El-Zohry, Zenab, A. Mofaddel, Mahmoud, Bakheet, Samy   +3 more
core   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand, Seyed Hossein Aghamiri, Saeed Mohmammad Soleymani, Shadiyeh Bararpoor Poshkohi, Samaneh Masoudi, Hadi Esmaily   +5 more
wiley   +1 more source

Static hand gesture recognition with parallel CNNs for space human-robot interaction [PDF]

, 2017
As a new type of human-robot interaction (HRI), hand gesture has many advantages such as natural operation, rich expression and not subject to environ-mental constraints. So it is very suitable for space human-robot interaction tasks in special and harsh
Liu JG(刘金国), Ju, Zhaojie, Zhang, Lu, Gao Q(高庆), Li YM(李杨民), Zhang, Tian   +5 more
core  

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning [PDF]

, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data.
Latyr Fall, Cheikh, Côté-Allard, Ulysse, Glette, Kyrre, Drouin, Alexandre, Fall, Cheikh Latyr, Campeau-Lecours, Alexandre, Gosselin, Benoit, Laviolette, Francois, Côté Allard, Ulysse, Gosselin, Clément   +9 more
core   +1 more source

A 57‐Year‐Old Male With Behavioral Variant Frontotemporal Dementia and MATR3 and NOS3 Mutations

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This report presents a case of behavioral variant frontotemporal dementia caused by mutations in the MATR3 and NOS3 genes, aiming to analyze its clinical manifestations and genetic characteristics. For a case presenting with personality changes and gait abnormalities as the initial symptoms, this study conducted a comprehensive analysis of its
Feifei Lin, Saie Huang
wiley   +1 more source