Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review
E Ramanujam, T Perumal… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …
signals acquired through embedded sensors of smartphones and wearable devices. It has …
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
A systematic review of smartphone-based human activity recognition methods for health research
Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …
measurement of activities of daily living, making them especially well-suited for health …
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Ensem-HAR: An ensemble deep learning model for smartphone sensor-based human activity recognition for measurement of elderly health monitoring
Biomedical images contain a huge number of sensor measurements that can provide
disease characteristics. Computer-assisted analysis of such parameters aids in the early …
disease characteristics. Computer-assisted analysis of such parameters aids in the early …
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
A Sarkar, SKS Hossain, R Sarkar - Neural Computing and Applications, 2023 - Springer
Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
Trends in human activity recognition using smartphones
Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …
our society. Population security, crowd surveillance, healthcare support and living …
DeepThink IoT: the strength of deep learning in internet of things
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …
revolutionized technology in the twenty-first century, enabling humans and machines to …
Deep CNN hyperparameter optimization algorithms for sensor-based human activity recognition
S Raziani, M Azimbagirad - Neuroscience Informatics, 2022 - Elsevier
Human activity recognition (HAR) is an active field of research for the classification of human
movements and applications in a wide variety of areas such as medical diagnosis, health …
movements and applications in a wide variety of areas such as medical diagnosis, health …