AIMC Topic: Recognition, Psychology

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An Efficient Human Instance-Guided Framework for Video Action Recognition.

Sensors (Basel, Switzerland) Dec 12, 2021
In recent years, human action recognition has been studied by many computer vision researchers. Recent studies have attempted to use two-stream networks using appearance and motion features, but most of these approaches focused on clip-level video ac...
Humans Neural Networks, Computer Human Activities Recognition, Psychology Motion Vision, Ocular
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Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.

Sensors (Basel, Switzerland) Dec 11, 2021
UNLABELLED: Background and motivation: Every year, millions of Muslims worldwide come to Mecca to perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has installed about 5000 closed circuit television (CCTV) came...
Humans Crowding Videotape Recording Neural Networks, Computer Recognition, Psychology
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A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities.

Sensors (Basel, Switzerland) Dec 9, 2021
In recent years, a plethora of algorithms have been devised for efficient human activity recognition. Most of these algorithms consider basic human activities and neglect postural transitions because of their subsidiary occurrence and short duration....
Humans Algorithms Human Activities Recognition, Psychology Deep Learning
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Gesture-Based Human Machine Interaction Using RCNNs in Limited Computation Power Devices.

Sensors (Basel, Switzerland) Dec 8, 2021
The use of gestures is one of the main forms of human machine interaction (HMI) in many fields, from advanced robotics industrial setups, to multimedia devices at home. Almost every gesture detection system uses computer vision as the fundamental tec...
Algorithms Gestures Image Processing, Computer-Assisted Humans Neural Networks, Computer Recognition, Psychology
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Real-Time Detection of Cook Assistant Overalls Based on Embedded Reasoning.

Sensors (Basel, Switzerland) Dec 2, 2021
Currently, the target detection based on convolutional neural network plays an important role in image recognition, speech recognition and other fields. However, the current network model features a complex structure, a huge number of parameters and ...
Computers Problem Solving Recognition, Psychology Neural Networks, Computer
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HARTH: A Human Activity Recognition Dataset for Machine Learning.

Sensors (Basel, Switzerland) Nov 25, 2021
Existing accelerometer-based human activity recognition (HAR) benchmark datasets that were recorded during free living suffer from non-fixed sensor placement, the usage of only one sensor, and unreliable annotations. We make two contributions in this...
Support Vector Machine Humans Human Activities Neural Networks, Computer Recognition, Psychology Machine Learning
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A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition.

Nutrients Nov 10, 2021
BACKGROUND: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older patients and can cause malnutrition and aspiration pneumonia. This study aimed to develop a simple screening test using image recognition with a low r...
Body Mass Index Sarcopenia Machine Learning Algorithms Cross-Sectional Studies Pneumonia, Aspiration Diagnostic Imaging Malnutrition Female Male Aged Recognition, Psychology Japan Humans Deglutition Disorders Aged, 80 and over Mental Recall
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Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports Nov 3, 2021
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...
Music Recognition, Psychology Acoustics Sound Motivation Semantics Humans Models, Statistical Attention Neural Networks, Computer Speech Noise Research Design Models, Theoretical Learning Algorithms
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A GRU-Based Method for Predicting Intention of Aerial Targets.

Computational intelligence and neuroscience Nov 2, 2021
Since a target's operational intention in air combat is realized by a series of tactical maneuvers, its state presents the characteristics of temporal and dynamic changes. Depending only on a single moment to take inference, the traditional combat in...
Neural Networks, Computer Recognition, Psychology Intention
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Target Recognition of SAR Images Based on SVM and KSRC.

Computational intelligence and neuroscience Oct 31, 2021
A synthetic aperture radar (SAR) target recognition method combining linear and nonlinear feature extraction and classifiers is proposed. The principal component analysis (PCA) and kernel PCA (KPCA) are used to extract feature vectors of the original...
Recognition, Psychology Principal Component Analysis Radar Algorithms Support Vector Machine
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