AIMC Topic: Radar

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Application of Feedforward and Recurrent Neural Networks for Fusion of Data from Radar and Depth Sensors Applied for Healthcare-Oriented Characterisation of Persons' Gait.

Sensors (Basel, Switzerland) Jan 28, 2023
In this paper, the useability of feedforward and recurrent neural networks for fusion of data from impulse-radar sensors and depth sensors, in the context of healthcare-oriented monitoring of elderly persons, is investigated. Two methods of data fusi...
Neural Networks, Computer Delivery of Health Care Humans Walking Gait Aged Radar
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Deep Learning Multi-Class Approach for Human Fall Detection Based on Doppler Signatures.

International journal of environmental research and public health Jan 8, 2023
Falling events are a global health concern with short- and long-term physical and psychological implications, especially for the elderly population. This work aims to monitor human activity in an indoor environment and recognize falling events withou...
Humans Neural Networks, Computer Human Activities Radar Deep Learning Aged
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Exploration of Effective Time-Velocity Distribution for Doppler-Radar-Based Personal Gait Identification Using Deep Learning.

Sensors (Basel, Switzerland) Jan 5, 2023
Personal identification based on radar gait measurement is an important application of biometric technology because it enables remote and continuous identification of people, irrespective of the lighting conditions and subjects' outfits. This study e...
Radar Gait Fourier Analysis Ultrasonography, Doppler Humans Deep Learning
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A Network Model for Detecting Marine Floating Weak Targets Based on Multimodal Data Fusion of Radar Echoes.

Sensors (Basel, Switzerland) Nov 25, 2022
Due to the interaction between floating weak targets and sea clutter in complex marine environments, it is necessary to distinguish targets and sea clutter from different dimensions by designing universal deep learning models. Therefore, in this pape...
Artificial Intelligence Radar Probability
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Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications.

Sensors (Basel, Switzerland) Oct 21, 2022
Sensor fusion is the process of merging data from many sources, such as radar, lidar and camera sensors, to provide less uncertain information compared to the information collected from single source [...].
Vision, Ocular Radar Deep Learning Computers Algorithms
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Radar Target Detection Algorithm Using Convolutional Neural Network to Process Graphically Expressed Range Time Series Signals.

Sensors (Basel, Switzerland) Sep 11, 2022
Under the condition of low signal-to-noise ratio, the target detection performance of radar decreases, which seriously affects the tracking and recognition for the long-range small targets. To solve it, this paper proposes a target detection algorith...
Radar Signal-To-Noise Ratio Algorithms Neural Networks, Computer Time Factors
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Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.

Sensors (Basel, Switzerland) Aug 21, 2022
Fall detection in humans is critical in the prevention of life-threatening conditions. This is especially important for elderly people who are living alone. Therefore, automatic fall detection is one of the most relevant problems in geriatrics. Biora...
Learning Radar Aged Neural Networks, Computer Machine Learning Humans
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An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars.

Sensors (Basel, Switzerland) Jul 1, 2022
With the widespread use of multifunction radars (MFRs), it is hard for the traditional radar signal recognition technology to meet the needs of current electronic intelligence systems. For signal recognition of an MFR, it is necessary to identify not...
Neural Networks, Computer Deep Learning Computer Simulation Radar
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A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals.

Sensors (Basel, Switzerland) Jun 6, 2022
In order to prevent illegal intrusion, theft, and destruction, important places require stable and reliable human intrusion detection technology to maintain security. In this paper, a combined sensing system using anti-jamming random code signals is ...
Radar Support Vector Machine Humans
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Texture Image Classification Based on Deep Learning and Wireless Sensor Technology.

Computational intelligence and neuroscience May 24, 2022
The main purpose of the object detection process is to determine the category of the scene object and use the display 3D and 3D frame size. At present, in the case of 3D object detection, we can extract more accurate features by learning a large numb...
Radar Wireless Technology Algorithms Deep Learning Technology
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