[HTML][HTML] Deep learning for human activity recognition on 3d human skeleton: survey and comparative study
Human activity recognition (HAR) is an important research problem in computer vision. This
problem is widely applied to building applications in human–machine interactions …
problem is widely applied to building applications in human–machine interactions …
Human activity recognition in cyber-physical systems using optimized machine learning techniques
Abstract Human Activity Recognition (HAR) is an active research topic as it finds use in
many real-world applications such as health monitoring and biometric user identification …
many real-world applications such as health monitoring and biometric user identification …
Human activity recognition and prediction: overview and research gaps
D Nagpal, S Gupta - 2023 IEEE 8th International Conference …, 2023 - ieeexplore.ieee.org
With several applications in the disciplines of healthcare, human-computer interaction,
assistive learning, and many others, Human Actions Recognition, or HAR, is a trending …
assistive learning, and many others, Human Actions Recognition, or HAR, is a trending …
[HTML][HTML] Human activity prediction based on forecasted IMU activity signals by sequence-to-sequence deep neural networks
Human Activity Recognition (HAR) has gained significant attention due to its broad range of
applications, such as healthcare, industrial work safety, activity assistance, and driver …
applications, such as healthcare, industrial work safety, activity assistance, and driver …
A WiFi-based method for recognizing fine-grained multiple-subject human activities
MG Moghaddam, AAN Shirehjini… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Device-free human activity recognition (HAR) has gained attention in recent years. While
much has been done in coarse-grained HAR, the recognition of fine-grained human …
much has been done in coarse-grained HAR, the recognition of fine-grained human …
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Background With the rapid development of technology, human activity recognition (HAR)
from sensor data has become a key element for many real-world applications, such as …
from sensor data has become a key element for many real-world applications, such as …
DeepTransHAR: a novel clustering-based transfer learning approach for recognizing the cross-domain human activities using GRUs (Gated Recurrent Units) …
Deep learning models have gained widespread acceptance in recent decades for their
ability to recognize human activities. In terms of automated feature extraction capability and …
ability to recognize human activities. In terms of automated feature extraction capability and …
[HTML][HTML] A Review of Tags Anti-Collision Identification Methods Used in RFID Technology
L Wang, Z Luo, R Guo, Y Li - Electronics, 2023 - mdpi.com
With radio frequency identification (RFID) becoming a popular wireless technology, more
and more relevant applications are emerging. Therefore, anti-collision algorithms, which …
and more relevant applications are emerging. Therefore, anti-collision algorithms, which …
VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors
The use of audio and video modalities for Human Activity Recognition (HAR) is common,
given the richness of the data and the availability of pre-trained ML models using a large …
given the richness of the data and the availability of pre-trained ML models using a large …
RecurrentHAR: a novel transfer learning-based deep learning model for sequential, complex, concurrent, interleaved, and heterogeneous type human activity …
Smartphone sensor-based Human Activity Recognition (HAR) is a significant facilitator for
many real-world applications such as smart homes, personal healthcare, and illness …
many real-world applications such as smart homes, personal healthcare, and illness …