Human activity recognition using wearable sensors: review, challenges, evaluation benchmark

R Abdel-Salam, R Mostafa, M Hadhood - International Workshop on Deep …, 2021 - Springer
Recognizing human activity plays a significant role in the advancements of human-
interaction applications in healthcare, personal fitness, and smart devices. Many papers …

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects

MM Islam, S Nooruddin, F Karray… - Computers in biology and …, 2022 - Elsevier
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 …

Human activity recognition based on wearable sensor data: A standardization of the state-of-the-art

A Jordao, AC Nazare Jr, J Sena… - arXiv preprint arXiv …, 2018 - arxiv.org
Human activity recognition based on wearable sensor data has been an attractive research
topic due to its application in areas such as healthcare and smart environments. In this …

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

HF Nweke, YW Teh, MA Al-Garadi, UR Alo - Expert Systems with …, 2018 - Elsevier
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

[PDF][PDF] A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline.

H Liu, Y Hartmann, T Schultz - Healthinf, 2022 - scitepress.org
Many researchers devote themselves to studying various aspects of Human Activity
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …

Deep learning and model personalization in sensor-based human activity recognition

A Ferrari, D Micucci, M Mobilio… - Journal of Reliable …, 2023 - Springer
Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …

A survey on wearable human activity recognition: innovative pipeline development for enhanced research and practice

Y Huang, Y Zhou, H Zhao, T Riedel… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …

Different approaches for human activity recognition: A survey

Z Hussain, M Sheng, WE Zhang - arXiv preprint arXiv:1906.05074, 2019 - arxiv.org
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Wearable computing for Internet of Things: A discriminant approach for human activity recognition

W Lu, F Fan, J Chu, P Jing… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …

Comparison of feature learning methods for human activity recognition using wearable sensors

F Li, K Shirahama, MA Nisar, L Köping, M Grzegorzek - Sensors, 2018 - mdpi.com
Getting a good feature representation of data is paramount for Human Activity Recognition
(HAR) using wearable sensors. An increasing number of feature learning approaches—in …