AIMC Topic: Human Activities

Clear Filters Showing 61 to 70 of 331 articles

Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The popularity of wearable devices has increased the demands for the research on first-person activity recognition. However, most of the current first-person activity datasets are built based on the assumption that only the human-object interaction (...
Humans Semantics Human Activities Neural Networks, Computer Cues
View on PubMed DOI

A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors.

Sensors (Basel, Switzerland) Mar 29, 2024
Frameworks for human activity recognition (HAR) can be applied in the clinical environment for monitoring patients' motor and functional abilities either remotely or within a rehabilitation program. Deep Learning (DL) models can be exploited to perfo...
Healthy Volunteers Human Activities Activities of Daily Living Engineering Humans Deep Learning
View on PubMed DOI

PAR-Net: An Enhanced Dual-Stream CNN-ESN Architecture for Human Physical Activity Recognition.

Sensors (Basel, Switzerland) Mar 16, 2024
Physical exercise affects many facets of life, including mental health, social interaction, physical fitness, and illness prevention, among many others. Therefore, several AI-driven techniques have been developed in the literature to recognize human ...
Neural Networks, Computer Machine Learning Humans Human Activities Exercise Recognition, Psychology
View on PubMed DOI

A Combination Model of Shifting Joint Angle Changes With 3D-Deep Convolutional Neural Network to Recognize Human Activity.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2024
Research in the field of human activity recognition is very interesting due to its potential for various applications such as in the field of medical rehabilitation. The need to advance its development has become increasingly necessary to enable effi...
Motion Neural Networks, Computer Movement Deep Learning Human Activities Humans
View on PubMed DOI

Exploring the Possibility of Photoplethysmography-Based Human Activity Recognition Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Mar 1, 2024
Various sensing modalities, including external and internal sensors, have been employed in research on human activity recognition (HAR). Among these, internal sensors, particularly wearable technologies, hold significant promise due to their lightwei...
Human Activities Electrocardiography Humans Neural Networks, Computer Prospective Studies Photoplethysmography
View on PubMed DOI

Efficiently improving the Wi-Fi-based human activity recognition, using auditory features, autoencoders, and fine-tuning.

Computers in biology and medicine Feb 27, 2024
Human activity recognition (HAR) based on Wi-Fi signals has attracted significant attention due to its convenience and the availability of infrastructures and sensors. Channel State Information (CSI) measures how Wi-Fi signals propagate through the e...
Humans Machine Learning Human Activities
View on PubMed DOI

Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing.

Sensors (Basel, Switzerland) Feb 4, 2024
Traditional systems for indoor pressure sensing and human activity recognition (HAR) rely on costly, high-resolution mats and computationally intensive neural network-based (NN-based) models that are prone to noise. In contrast, we design a cost-effe...
Noise Neural Networks, Computer Movement Human Activities Humans Algorithms
View on PubMed DOI

Wireless body area sensor networks based human activity recognition using deep learning.

Scientific reports Feb 1, 2024
In the healthcare sector, the health status and biological, and physical activity of the patient are monitored among different sensors that collect the required information about these activities using Wireless body area network (WBAN) architecture. ...
Wearable Electronic Devices Human Activities Algorithms Deep Learning Neural Networks, Computer Humans
View on PubMed DOI

IMU-Based Fitness Activity Recognition Using CNNs for Time Series Classification.

Sensors (Basel, Switzerland) Jan 23, 2024
Mobile fitness applications provide the opportunity to show users real-time feedback on their current fitness activity. For such applications, it is essential to accurately track the user's current fitness activity using available mobile sensors, suc...
Machine Learning Humans Time Factors Exercise Neural Networks, Computer Human Activities
View on PubMed DOI

Comparative performance of machine learning models for the classification of human gait.

Biomedical physics & engineering express Jan 4, 2024
The efficacy of human activity recognition (HAR) models mostly relies on the characteristics derived from domain expertise. The input of the classification algorithm consists of many characteristics that are utilized to accurately and effectively cla...
Human Activities Walking Gait Algorithms Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals