A systematic review of smartphone-based human activity recognition methods for health research

M Straczkiewicz, P James, JP Onnela - NPJ Digital Medicine, 2021 - nature.com
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 …

Human action recognition with deep learning and structural optimization using a hybrid heuristic algorithm

T Ozcan, A Basturk - Cluster Computing, 2020 - Springer
Human action recognition (HAR) is a popular subject for academic society and other
stakeholders. Nowadays it has a wide-spread use for lots of practical applications such as …

Human activity recognition from multiple sensors data using deep CNNs

Y Kaya, EK Topuz - Multimedia Tools and Applications, 2024 - Springer
Smart devices with sensors now enable continuous measurement of activities of daily living.
Accordingly, various human activity recognition (HAR) experiments have been carried out …

Enhancing effluent quality prediction in wastewater treatment plants through the integration of factor analysis and machine learning

J Lv, L Du, H Lin, B Wang, W Yin, Y Song, J Chen… - Bioresource …, 2024 - Elsevier
Precisely predicting the concentration of nitrogen-based pollutants from the wastewater
treatment plants (WWTPs) remains a challenging yet crucial task for optimizing operational …

Open Data Sets in Human Activity Recognition Research-Issues and Challenges: A Review

G Alam, I McChesney, P Nicholl… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Huge amounts of data are generated with the emergence of new sensor technologies.
Human activity recognition (HAR) datasets are generated from cameras, such as video or …

TASG: an augmented classification method for impersonal HAR

Z Zheng, J Du, L Sun, M Huo… - Mobile Information …, 2018 - Wiley Online Library
Human activity recognition (HAR) systems are widely used in our lives, such as healthcare,
security, and entertainment. Most of the activity recognition models are tested in the personal …

Validation of wired and wireless interconnected body sensor networks

A Talpur, FK Shaikh, N Baloch, E Felemban, A Khelil… - Sensors, 2019 - mdpi.com
Current medical facilities usually lead to a very high cost especially for developing countries,
rural areas and mass casualty incidents. Therefore, advanced electronic health systems are …

A systematic review of smartphone-based human activity recognition for health research

M Straczkiewicz, P James, JP Onnela - arXiv preprint arXiv:1910.03970, 2019 - arxiv.org
Background: Smartphones are now nearly ubiquitous; their numerous built-in sensors
enable continuous measurement of activities of daily living, making them especially well …

Novel evolutionary-EAC instance-learning-based algorithm for fast data stream mining in assisted living with extreme connectivity

S Hu, S Fong, W Song, K Cho, RC Millham, J Fiaidhi - Computing, 2021 - Springer
In modern healthcare, sensing technologies such as IoT empower the quality of assisted
living service by knowing what a resident is doing in real-time. Using extreme connectivity …

Visual Analytics for Automated Behavior Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and Challenges

ZS Syed, FK Shaikh, MSS Syed… - Intelligent Image and …, 2023 - taylorfrancis.com
Individuals' actions, interactions, and reactions to events involving them are referred to as
human behavior. Traditional research in understanding human behavior has been …