Sensor-based datasets for human activity recognition–a systematic review of literature

E De-La-Hoz-Franco, P Ariza-Colpas, JM Quero… - IEEE …, 2018 - ieeexplore.ieee.org
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

Human activity recognition data analysis: History, evolutions, and new trends

PP Ariza-Colpas, E Vicario, AI Oviedo-Carrascal… - Sensors, 2022 - mdpi.com
The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care 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 …

Wearable sensor‐based human activity recognition in the smart healthcare system

F Serpush, MB Menhaj, B Masoumi… - Computational …, 2022 - Wiley Online Library
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

[HTML][HTML] New machine learning approaches for real-life human activity recognition using smartphone sensor-based data

D Garcia-Gonzalez, D Rivero… - Knowledge-Based …, 2023 - Elsevier
In recent years, mainly due to the application of smartphones in this area, research in human
activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide …

Human activity recognition: A survey

C Jobanputra, J Bavishi, N Doshi - Procedia Computer Science, 2019 - Elsevier
Abstract Human Activity Recognition (HAR) has been a challenging problem yet it needs to
be solved. It will mainly be used for eldercare and healthcare as an assistive technology …

Challenges in sensor-based human activity recognition and a comparative analysis of benchmark datasets: A review

AD Antar, M Ahmed, MAR Ahad - 2019 Joint 8th International …, 2019 - ieeexplore.ieee.org
Human Activity Recognition using embedded sensors has lately made renowned
development and is drawing growing attention in numerous application domains including …

Neural network ensembles for sensor-based human activity recognition within smart environments

N Irvine, C Nugent, S Zhang, H Wang, WWY Ng - Sensors, 2019 - mdpi.com
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-
driven approaches rely on good quality data during training, however, a shortage of high …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

[PDF][PDF] Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments.

JL Reyes-Ortiz, A Ghio, X Parra, D Anguita… - ESANN, 2013 - esann.org
The rise of ubiquitous computing systems in our environment is engendering a strong need
for novel approaches of human-computer interaction. Either for extending the existing range …