AIMC Topic: Human Activities

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Intelligent Millimeter-Wave System for Human Activity Monitoring for Telemedicine.

Sensors (Basel, Switzerland) Jan 2, 2024
Telemedicine has the potential to improve access and delivery of healthcare to diverse and aging populations. Recent advances in technology allow for remote monitoring of physiological measures such as heart rate, oxygen saturation, blood glucose, an...
Humans Artificial Intelligence Telemedicine Exercise Human Activities Intelligence
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An improved human activity recognition technique based on convolutional neural network.

Scientific reports Dec 19, 2023
A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis...
Wearable Electronic Devices Human Activities Humans Neural Networks, Computer Software Algorithms
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MAG-Res2Net: a novel deep learning network for human activity recognition.

Physiological measurement Nov 28, 2023
Human activity recognition (HAR) has become increasingly important in healthcare, sports, and fitness domains due to its wide range of applications. However, existing deep learning based HAR methods often overlook the challenges posed by the diversit...
Neural Networks, Computer Algorithms Humans Deep Learning Human Activities Exercise
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Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Oct 13, 2023
Sensor-based human activity recognition (HAR) is a task to recognize human activities, and HAR has an important role in analyzing human behavior such as in the healthcare field. HAR is typically implemented using traditional machine learning methods....
Recognition, Psychology Female Unsupervised Machine Learning Labor, Obstetric Human Activities Machine Learning Pregnancy Humans
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Self-Attention-Based Deep Convolution LSTM Framework for Sensor-Based Badminton Activity Recognition.

Sensors (Basel, Switzerland) Oct 10, 2023
Sensor-based human activity recognition aims to classify human activities or behaviors according to the data from wearable or embedded sensors, leading to a new direction in the field of Artificial Intelligence. When the activities become high-level ...
Neural Networks, Computer Artificial Intelligence Humans Human Activities
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Real-Time Sensor-Embedded Neural Network for Human Activity Recognition.

Sensors (Basel, Switzerland) Sep 28, 2023
This article introduces a novel approach to human activity recognition (HAR) by presenting a sensor that utilizes a real-time embedded neural network. The sensor incorporates a low-cost microcontroller and an inertial measurement unit (IMU), which is...
Neural Networks, Computer Humans Human Activities Movement Recognition, Psychology
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Anthropogenic fingerprints in daily precipitation revealed by deep learning.

Nature Aug 30, 2023
According to twenty-first century climate-model projections, greenhouse warming will intensify rainfall variability and extremes across the globe. However, verifying this prediction using observations has remained a substantial challenge owing to lar...
Global Warming Hydrology Tropical Climate Climate Models Human Activities Rain Pacific Ocean Deep Learning Weather Neural Networks, Computer Temperature
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An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME.

Sensors (Basel, Switzerland) Aug 27, 2023
Electroencephalography (EEG) is a non-invasive method employed to discern human behaviors by monitoring the neurological responses during cognitive and motor tasks. Machine learning (ML) represents a promising tool for the recognition of human activi...
Electroencephalography Human Activities Humans Artificial Intelligence Machine Learning
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A Deep Regression Approach for Human Activity Recognition Under Partial Occlusion.

International journal of neural systems Aug 19, 2023
In real-life scenarios, Human Activity Recognition (HAR) from video data is prone to occlusion of one or more body parts of the human subjects involved. Although it is common sense that the recognition of the majority of activities strongly depends o...
Human Activities Humans Neural Networks, Computer
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Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition.

Scientific reports Jul 26, 2023
In the field of machine intelligence and ubiquitous computing, there has been a growing interest in human activity recognition using wearable sensors. Over the past few decades, researchers have extensively explored learning-based methods to develop ...
Humans Neural Networks, Computer Algorithms Recognition, Psychology Movement Human Activities
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