AIMC Topic: Recognition, Psychology

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Optimization Algorithm of Moving Object Detection Using Multiscale Pyramid Convolutional Neural Networks.

Computational intelligence and neuroscience Mar 10, 2023
Object detection and recognition is a very important topic with significant research value. This research develops an optimised model of moving target identification based on CNN to address the issues of insufficient positioning information and low t...
Semantics Recognition, Psychology Algorithms Learning Neural Networks, Computer
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A New Deep-Learning Method for Human Activity Recognition.

Sensors (Basel, Switzerland) Mar 4, 2023
Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular approach in the field of human activity recognition. However, due to the variety of methods used for human activity recognition, we propose a new deep-learning model in...
Humans Human Activities Recognition, Psychology Neural Networks, Computer Deep Learning
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Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2023
Intelligent fault diagnosis aims to build robust mechanical condition recognition models with limited dataset. At this stage, fault diagnosis faces two practical challenges: (1) the variability of mechanical working conditions makes the collected dat...
Intelligence Recognition, Psychology Deep Learning Data Collection Working Conditions
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Rethinking Breast Cancer Diagnosis through Deep Learning Based Image Recognition.

Sensors (Basel, Switzerland) Feb 19, 2023
This paper explored techniques for diagnosing breast cancer using deep learning based medical image recognition. X-ray (Mammography) images, ultrasound images, and histopathology images are used to improve the accuracy of the process by diagnosing br...
Recognition, Psychology Mammography Neoplasms Entropy Deep Learning
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sEMG-Based Hand Gesture Recognition Using Binarized Neural Network.

Sensors (Basel, Switzerland) Jan 28, 2023
Recently, human-machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as a wearable system, has the advantage that users can easily and in...
Humans Neural Networks, Computer Electromyography Recognition, Psychology Gestures Algorithms Hand
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Towards a Safe Human-Robot Collaboration Using Information on Human Worker Activity.

Sensors (Basel, Switzerland) Jan 22, 2023
Most industrial workplaces involving robots and other apparatus operate behind the fences to remove defects, hazards, or casualties. Recent advancements in machine learning can enable robots to co-operate with human co-workers while retaining safety,...
Recognition, Psychology Intelligence Industry Robotics Humans Machine Learning
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Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks.

Sensors (Basel, Switzerland) Jan 6, 2023
To improve the accuracy of shallow neural networks in processing complex signals and cable fault diagnosis, and to overcome the shortage of manual dependency and cable fault feature extraction, a deep learning method is introduced, and a time-frequen...
Recognition, Psychology Neural Networks, Computer Computer Simulation Electric Impedance
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An AI-Inspired Spatio-Temporal Neural Network for EEG-Based Emotional Status.

Sensors (Basel, Switzerland) Jan 2, 2023
The accurate identification of the human emotional status is crucial for an efficient human-robot interaction (HRI). As such, we have witnessed extensive research efforts made in developing robust and accurate brain-computer interfacing models based ...
Humans Neural Networks, Computer Electroencephalography Recognition, Psychology Algorithms Emotions
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Hybrid Target Selections by "Hand Gestures + Facial Expression" for a Rehabilitation Robot.

Sensors (Basel, Switzerland) Dec 26, 2022
In this study we propose a "hand gesture + face expression" human machine interaction technique, and apply this technique to bedridden rehabilitation robot. "Hand gesture + Facial expression" interactive technology combines the input mode of gesture ...
Recognition, Psychology Robotics Hand Facial Expression Humans Algorithms Upper Extremity Gestures
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Improving Inertial Sensor-Based Activity Recognition in Neurological Populations.

Sensors (Basel, Switzerland) Dec 15, 2022
Inertial sensor-based human activity recognition (HAR) has a range of healthcare applications as it can indicate the overall health status or functional capabilities of people with impaired mobility. Typically, artificial intelligence models achieve ...
Humans Neural Networks, Computer Human Activities Artificial Intelligence Recognition, Psychology Machine Learning
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