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Human action recognition: A taxonomy-based survey, updates, and opportunities
Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …
accurately identify and interpret human actions. One of the most challenging issues for …
Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
[HTML][HTML] Lstm networks using smartphone data for sensor-based human activity recognition in smart homes
Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …
momentum in recent years, both in research and industrial applications. From the abstract …
A federated learning system with enhanced feature extraction for human activity recognition
With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …
Deep-learning-enhanced human activity recognition for internet of healthcare things
Along with the advancement of several emerging computing paradigms and technologies,
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
Variational LSTM enhanced anomaly detection for industrial big data
With the increasing population of Industry 4.0, industrial big data (IBD) has become a hotly
discussed topic in digital and intelligent industry field. The security problem existing in the …
discussed topic in digital and intelligent industry field. The security problem existing in the …
Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey
Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …
and provide a response to the user and are finding more and more applications in our daily …
[HTML][HTML] Human activity recognition based on residual network and BiLSTM
Y Li, L Wang - Sensors, 2022 - mdpi.com
Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …
number of HAR models based on deep learning have been proposed. However, many …
Digital twin to improve the virtual-real integration of industrial IoT
Z Jiang, Y Guo, Z Wang - Journal of Industrial Information Integration, 2021 - Elsevier
Abstract The Industrial Internet of Things (IIoT) brings value-added services to traditional
devices and has become an important business and technology mode in the industry 4.0 …
devices and has become an important business and technology mode in the industry 4.0 …
The role of emergent technologies in the dynamic and kinematic assessment of human movement in sport and clinical applications
Physical activity analysis assessment has been a concern throughout human history. The
intersection of technological growth with sports has given rise to a burgeoning field known …
intersection of technological growth with sports has given rise to a burgeoning field known …