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Intelligent action recognition and dance movement optimization based on multi-threshold image segmentation
Because the motion detection data saves the motion details and records the motion trajectory, the data has high accuracy and is widely used in...
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A multi-modal framework for continuous and isolated hand gesture recognition utilizing movement epenthesis detection
Gesture recognition, having multitudinous applications in the real world, is one of the core areas of research in the field of human-computer...
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CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals
Physiological signals, such as EEG and eye movements, have emerged as promising research topics in emotion recognition due to their inherent...
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Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models
Greater eyes-focused eye movement pattern during face recognition is associated with better performance in adults but not in children. We test the...
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Emotion-specific AUs for micro-expression recognition
The Facial Action Coding System (FACS) comprehensively describes facial expressions with facial action units (AUs). It is a well-used technique by...
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The Recognition of Ankle Movement Patterns Using LDA
This paper proposes a recognition system of ankle movement patterns with two channels of surface electromyography (sEMG) signals. Six parts of shank...
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Eye-movement patterns in skilled Arabic readers: effects of specific features of Arabic versus universal factors
This study aims to shed light on the contribution of universal versus language specific factors on reading. We examined eye movements of Arabic...
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SOP: acute hyperkinetic movement disorders
IntroductionMovement disorders emergencies describe acute-onset neurological conditions in which a delay of recognition and treatment may cause...
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Advancing autism prediction through visual-based AI approaches: integrating advanced eye movement analysis and shape recognition with Kalman filtering
In the recent past, the global prevalence of autism spectrum disorder (ASD) has witnessed a remarkable surge, underscoring its significance as a...
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Randomness impacts the building of specific priors, visual exploration, and perception in object recognition
Recognising objects is a vital skill on which humans heavily rely to respond quickly and adaptively to their environment. Yet, we lack a full...
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Finger Movement Recognition via High-Density Electromyography of Intrinsic and Extrinsic Hand Muscles
Surface electromyography (sEMG) is commonly used to observe the motor neuronal activity within muscle fibers. However, decoding dexterous body...
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Hand Movement Recognition and Analysis Based on Deep Learning in Classical Hand Dance Videos
Hand movement recognition is one of hot research topics in the field of computer vision, which has received extensive research interests. However,...
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Recognition of Aerobics Movement Posture Based on Multisensor Movement Monitoring
In the traditional attitude recognition methods, the final recognition rate is low because of the inadequate processing of the motion attitude data....
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Hand Movement Recognition Using Dynamical Graph Convolutional Neural Network in EEG Source Space
Brain-computer interface (BCI) has been widely used in the field of medical rehabilitation related to hand movement. However, the single-handed...
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Human movement monitoring and behavior recognition for intelligent sports using customizable and flexible triboelectric nanogenerator
Effective collection, recognition, and analysis of sports information is the key to intelligent sports, which can help athletes to improve their...
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Movement Pattern Recognition in Boxing Using Raw Inertial Measurements
In the paper, a new machine-learning technique is proposed to recognize movement patterns. The efficient system designed for this purpose uses an...
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Movement Disorders in Neurocritical Care
Movement disorder emergencies can occur either de novo or as an acute worsening of a preexisting movement disorder. Movement disorder emergency can...
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Using Eye Movement Features for Secure Authentication
The protection of data requires the implementation of security and privacy measures. A computer system’s first line of defiance is user...
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Surface electromyogram, kinematic, and kinetic dataset of lower limb walking for movement intent recognition
Surface electromyogram (sEMG) offers a rich set of motor information for decoding limb motion intention that serves as a control input to Intelligent...
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Recognition capability of one’s own skilled movement is dissociated from acquisition of motor skill memory
When we have rehearsed a movement using an object, we can reproduce the movement without holding the object. However, the reproduced movement...
