Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Leveraging machine learning and big data for smart buildings: A comprehensive survey

B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

[HTML][HTML] A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition

AB Sargano, P Angelov, Z Habib - applied sciences, 2017 - mdpi.com
Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

[HTML][HTML] 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 …

IoT sensor-based activity recognition

MAR Ahad, AD Antar, M Ahmed - IoT Sensor-Based Activity Recognition, 2020 - Springer
The accelerometer was invented in 1783. Though the initial purpose of using accelerometer
was to validate the principles of Newtonian physics, with the advancement of the technology …

Metaheuristic algorithms for healthcare: Open issues and challenges

CW Tsai, MC Chiang, A Ksentini, M Chen - Computers & Electrical …, 2016 - Elsevier
Inspired by the observation that a healthcare system usually involves various intelligent
technologies from different disciplines, especially metaheuristics and data mining, this paper …

A survey of evolutionary algorithms for supervised ensemble learning

HEL Cagnini, SCND Dôres, AA Freitas… - The Knowledge …, 2023 - cambridge.org
This paper presents a comprehensive review of evolutionary algorithms that learn an
ensemble of predictive models for supervised machine learning (classification and …

Intelligent decision support for real time health care monitoring system

ASM Salih, A Abraham - … for Industrial Advancement: Proceedings of the …, 2015 - Springer
In the health care monitoring, data mining is mainly used for classification and predicting the
diseases. Various data mining techniques are available for classification and predicting …

[PDF][PDF] A review of ambient intelligence assisted healthcare monitoring

A Salih, A Abraham - International Journal of Computer …, 2013 - wsc9.softcomputing.net
Care Monitoring (HCM) and support to patients with Chronic Diseases (CD) especially the
disabled, and elderly. Ambient Intelligence (AmI) for healthcare monitoring and personalized …

Towards the evolution of smart home environments: A survey

A Bejarano, B Fernandez, M Jimeno… - … of Automation and …, 2016 - pure.urosario.edu.co
Current lifestyles and technologies have inspired new ways to manage home appliances
free of restrictions previously imposed by distance and time. So-called home automation …