HIT HAR: human image threshing machine for human activity recognition using deep learning models
In recent days, research in human activity recognition (HAR) has played a significant role in
healthcare systems. The accurate activity classification results from the HAR enhance the …
healthcare systems. The accurate activity classification results from the HAR enhance the …
Human worker activity recognition in a production floor environment through deep learning
A Mastakouris, G Andriosopoulou, D Masouros… - Journal of Manufacturing …, 2023 - Elsevier
One of the aims of the 4th industrial revolution is to seamlessly connect equipment and
personnel to enable a greater level of collaboration, which in turn will result in higher …
personnel to enable a greater level of collaboration, which in turn will result in higher …
Context-aware human activity recognition (CAHAR) in-the-Wild using smartphone accelerometer
Y Asim, MA Azam, M Ehatisham-ul-Haq… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
Convolutional neural network-based human activity recognition for edge fitness and context-aware health monitoring devices
The vital signs can vary significantly depending on the daily physical activities, which may
not be due to defects of the organs. Under remote human health-monitoring applications, for …
not be due to defects of the organs. Under remote human health-monitoring applications, for …
Action detection and recognition in continuous action streams by deep learning-based sensing fusion
N Dawar, N Kehtarnavaz - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
This paper presents a deep learning-based sensing fusion system to detect and recognize
actions of interest from continuous action streams, which contain actions of interest occurring …
actions of interest from continuous action streams, which contain actions of interest occurring …
Transfer learning for human activity recognition using representational analysis of neural networks
Human activity recognition (HAR) has increased in recent years due to its applications in
mobile health monitoring, activity recognition, and patient rehabilitation. The typical …
mobile health monitoring, activity recognition, and patient rehabilitation. The typical …
A low-cost real-time IoT human activity recognition system based on wearable sensor and the supervised learning algorithms
Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …
of health conditions. Among approaches of activity recognition systems were researched …
Ensemble residual network-based gender and activity recognition method with signals
Nowadays, deep learning is one of the popular research areas of the computer sciences,
and many deep networks have been proposed to solve artificial intelligence and machine …
and many deep networks have been proposed to solve artificial intelligence and machine …
Permutation importance based modified guided regularized random forest in human activity recognition with smartphone
Abstract Human Activity Recognition (HAR) is a burgeoning field of study due to its real-life
applications in the medical field, the e-health system, and elder care or care of physically …
applications in the medical field, the e-health system, and elder care or care of physically …
Enhanced human activity recognition using wearable sensors via a hybrid feature selection method
C Fan, F Gao - Sensors, 2021 - mdpi.com
The study of human activity recognition (HAR) plays an important role in many areas such as
healthcare, entertainment, sports, and smart homes. With the development of wearable …
healthcare, entertainment, sports, and smart homes. With the development of wearable …