Results 101 to 110 of about 4,035,908 (242)

Vision-based hand gesture recognition from RGB video data using SVM

, 2019
With the growing number of population in the world nowadays, novel human-computer interaction systems and techniques can be used to help improve their quality of life. A gesture based technology can help to maintain the safety and needs of the disable as
Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, Al Farid, Fahmid, Abdullah, Junaidi, Hashim, Noramiza   +5 more
core   +1 more source

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

Annals 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, Federica Avantaggiato, Gianni Pezzoli, Andrea Canessa   +3 more
wiley   +1 more source

Hand gesture recognition based on micro‐Doppler radar using graph neural network

Electronics Letters
Hand gesture recognition based on micro‐Doppler (MD) radar has garnered considerable attention from researchers as a potential method for human–computer interaction (HCI).
Zhangjin Xiong, Kaixue Ma, Ningning Yan
doaj   +1 more source

CoboGesture: A Continuous Hand Gesture Dataset and Recognition Method for Human-Collaborative Robot Interaction

IEEE Access
The use of collaborative robots (aka cobots) - a type of robot designed to work alongside humans have recently increased. To create a seamless collaboration between human and cobot, hand gesture is the most widely used.
Phuong-Dung Nguyen, van-Thang Tran, Duy-Khanh Ngo, Viet-Duc Le, Ha-Anh Nguyen, Thuy-Binh Nguyen, Hong-Quan Nguyen, Thi-Lan Le   +7 more
doaj   +1 more source

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

Annals 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, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen, Mark Paine, Soohyun Lee, Amir Fazlollahi, Baibin (Ben) Wang, John D. O'Sullivan, Peter J. Nestor   +6 more
wiley   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan, Praveen Velammal, Kanmani Muthiah, Madhu Jatty, Christopher Adams   +4 more
wiley   +1 more source

Vision-based manipulative gesture recognition in a human-robot interaction scenario [PDF]

, 2008
Li Z. Vision-based manipulative gesture recognition in a human-robot interaction scenario. Bielefeld (Germany): Bielefeld University; 2008.Nowadays, many people are expecting an age of personal robots just as what happened in the evolution of computers ...
Li, Zhe
core  

Research on Gesture Recognition Method Based on Computer Vision

MATEC 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, Jiang Jie, Wei Yingmei, Kang Lai, Gao Yingying   +4 more
doaj   +1 more source

Myostatin/Smad3 in Spinal Muscular Atrophy: Biomarkers of Disease Severity and Treatment Response

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Given the role of Myostatin (MSTN) in muscle homeostasis and its modulation by current spinal muscular atrophy (SMA) therapies, we investigated serum MSTN and, for the first time, its downstream effector Smad3 as candidate non‐invasive biomarkers in SMA patients undergoing disease‐modifying therapies (DMTs).
Giorgia Riolo, Claudia Dosi, Stefano Parravicini, Riccardo Zanin, Marta Cheli, Eleonora Giacopuzzi Grigoli, Amalia Canciello, Francesca Andreetta, Riccardo Masson, Silvia Bonanno, Stefania Marcuzzo, Lorenzo Maggi   +11 more
wiley   +1 more source