AIMC Topic: Human Activities

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Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Network (Bristol, England) Dec 17, 2024
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainly in the areas of entertainment and surveillance in intelligent home environments. In this manuscript, Human Activity Recognition utilizing optimized ...
Telemedicine Human Activities Convolutional Neural Networks Attention Humans Neural Networks, Computer Algorithms
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Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity-A Review.

Sensors (Basel, Switzerland) Dec 13, 2024
Sensor-based Human Activity Recognition (HAR) is crucial in ubiquitous computing, analyzing behaviors through multi-dimensional observations. Despite research progress, HAR confronts challenges, particularly in data distribution assumptions. Most stu...
Human Activities Machine Learning Algorithms Humans
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VBCNet: A Hybird Network for Human Activity Recognition.

Sensors (Basel, Switzerland) Dec 5, 2024
In recent years, the research on human activity recognition based on channel state information (CSI) of Wi-Fi has gradually attracted much attention in order to avoid the deployment of additional devices and reduce the risk of personal privacy leakag...
Algorithms Human Activities Wireless Technology Humans Neural Networks, Computer
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Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises.

Computers in biology and medicine Nov 27, 2024
Physical rehabilitation plays a critical role in enhancing health outcomes globally. However, the shortage of physiotherapists, particularly in developing countries where the ratio is approximately ten physiotherapists per million people, poses a sig...
Wavelet Analysis Human Activities Humans Neural Networks, Computer Exercise Therapy
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DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Oct 29, 2024
With the proliferation of intelligent sensors integrated into mobile devices, fine-grained human activity recognition (HAR) based on lightweight sensors has emerged as a useful tool for personalized applications. Although shallow and deep learning al...
Humans Neural Networks, Computer Attention Pattern Recognition, Automated Algorithms Deep Learning Human Activities
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Improving Human Activity Recognition With Wearable Sensors Through BEE: Leveraging Early Exit and Gradient Boosting.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 18, 2024
Early-exiting has recently provided an ideal solution for accelerating activity inference by attaching internal classifiers to deep neural networks. It allows easy activity samples to be predicted at shallower layers, without executing deeper layers,...
Human Activities Machine Learning Deep Learning Bees Algorithms Wearable Electronic Devices Humans Pattern Recognition, Automated Neural Networks, Computer
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Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR).

Sensors (Basel, Switzerland) Aug 22, 2024
Human activity recognition (HAR) is a crucial task in various applications, including healthcare, fitness, and the military. Deep learning models have revolutionized HAR, however, their computational complexity, particularly those involving BiLSTMs, ...
Smartphone Human Activities Algorithms Deep Learning Humans Neural Networks, Computer
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Conceptualization of Cloud-Based Motion Analysis and Navigation for Wearable Robotic Applications.

Sensors (Basel, Switzerland) Aug 2, 2024
The behavior of pedestrians in a non-constrained environment is difficult to predict. In wearable robotics, this poses a challenge, since devices like lower-limb exoskeletons and active orthoses need to support different walking activities, including...
Human Activities Motion Cloud Computing Robotics Walking Algorithms Humans Wearable Electronic Devices
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Improving human activity classification based on micro-doppler signatures of FMCW radar with the effect of noise.

PloS one Aug 1, 2024
Nowadays, classifying human activities is applied in many essential fields, such as healthcare, security monitoring, and search and rescue missions. Radar sensor-based human activity classification is regarded as a superior approach in comparison to ...
Neural Networks, Computer Algorithms Humans Radar Signal-To-Noise Ratio Doppler Effect Human Activities
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FMCW Radar Human Action Recognition Based on Asymmetric Convolutional Residual Blocks.

Sensors (Basel, Switzerland) Jul 15, 2024
Human action recognition based on optical and infrared video data is greatly affected by the environment, and feature extraction in traditional machine learning classification methods is complex; therefore, this paper proposes a method for human acti...
Deep Learning Pattern Recognition, Automated Human Activities Radar Machine Learning Algorithms Humans Neural Networks, Computer
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