Human activity recognition: Review, taxonomy and open challenges
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions
Ambient Assisted Living is a concept that focuses on using technology to support and
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …
Transfer learning approach for human activity recognition based on continuous wavelet transform
Over the last few years, human activity recognition (HAR) has drawn increasing interest from
the scientific community. This attention is mainly attributable to the proliferation of wearable …
the scientific community. This attention is mainly attributable to the proliferation of wearable …
Bidirectional long short-term memory with temporal dense sampling for human action recognition
Abstract Long Short-Term Memory networks are making significant inroads into improving
time series applications, including human action recognition. In a human action video, the …
time series applications, including human action recognition. In a human action video, the …
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 …
[HTML][HTML] A DCNN-LSTM based human activity recognition by mobile and wearable sensor networks
Abstract Systems for recognizing human activities are being developed as part of a larger
framework that will allow for continuous monitoring of human behavior in intelligent home …
framework that will allow for continuous monitoring of human behavior in intelligent home …
Artificial intelligence based approach for classification of human activities using MEMS sensors data
The integration of Micro Electronic Mechanical Systems (MEMS) sensor technology in
smartphones has greatly improved the capability for Human Activity Recognition (HAR). By …
smartphones has greatly improved the capability for Human Activity Recognition (HAR). By …
An improved human activity recognition technique based on convolutional neural network
R Raj, A Kos - Scientific Reports, 2023 - nature.com
A convolutional neural network (CNN) is an important and widely utilized part of the artificial
neural network (ANN) for computer vision, mostly used in the pattern recognition system …
neural network (ANN) for computer vision, mostly used in the pattern recognition system …
Multiresolution fusion convolutional network for open set human activity recognition
J Li, H Xu, Y Wang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In recent years, sensor-based human activity recognition (HAR) technology has been the
focus of extensive research and has been successfully applied to many aspects of people's …
focus of extensive research and has been successfully applied to many aspects of people's …
Accuracy comparison of CNN, LSTM, and Transformer for activity recognition using IMU and visual markers
MF Trujillo-Guerrero, S Román-Niemes… - IEEE …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) has applications ranging from security to healthcare.
Typically these systems are composed of data acquisition and activity recognition models. In …
Typically these systems are composed of data acquisition and activity recognition models. In …