A review of machine learning-based human activity recognition for diverse applications

F Kulsoom, S Narejo, Z Mehmood… - Neural Computing and …, 2022 - Springer
Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

A review of occupant-centric building control strategies to reduce building energy use

S Naylor, M Gillott, T Lau - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Abstract Building Energy Management is identified as a key part of the move towards
localised energy generation and control. The significant discrepancy between building …

Activity recognition in smart homes with self verification of assignments

LG Fahad, A Khan, M Rajarajan - Neurocomputing, 2015 - Elsevier
Activity recognition in smart homes provides valuable benefits in the field of health and
elderly care by remote monitoring of patients. In health care, capabilities of both performing …

Key feature identification for recognition of activities performed by a smart-home resident

SF Tahir, LG Fahad, K Kifayat - Journal of Ambient Intelligence and …, 2020 - Springer
Activity recognition is beneficial for continuous health monitoring of smart-home residents,
such as patients and elderly people, living in the privacy of their home. We propose an …

Feature selection and data balancing for activity recognition in smart homes

LG Fahad, SF Tahir, M Rajarajan - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Activities performed in the same location in a smart home share common features and thus
become difficult to classify. We propose an activity recognition approach that identifies key …

Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges

A Bimpas, J Violos, A Leivadeas, I Varlamis - Computer Networks, 2024 - Elsevier
The advent of pervasive computing and ambient intelligence has opened up new
possibilities for the development of intelligent systems that can adapt to the needs of their …

Integration of discriminative and generative models for activity recognition in smart homes

LG Fahad, M Rajarajan - Applied Soft Computing, 2015 - Elsevier
Activity recognition in smart homes enables the remote monitoring of elderly and patients. In
healthcare systems, reliability of a recognition model is of high importance. Limited amount …

A semantic approach for enhancing assistive services in ubiquitous robotics

N Ayari, A Chibani, Y Amirat, E Matson - Robotics and Autonomous …, 2016 - Elsevier
Abstract The Ambient Intelligence (AmI) technologies have the potential to create intelligent
environments with new generation of assistive services, enhanced with ubiquitous robots …

Designing an intelligent home media center

I Đurić, V Ratković-Živanović, M Labus… - Facta Universitatis …, 2015 - casopisi.junis.ni.ac.rs
This paper presents design and implementation of a personal intelligent home media center.
The primary goal was to increase the quality of life with the use of ambient intelligence in …

[PDF][PDF] 带有同步预测的WBAN 时序数据融合算法

王汝言, 翟美玲, 吴大鹏 - 通信学报, 2015 - infocomm-journal.com
提出一种带有同步预测的时序数据融合算法, 利用多分辨率分析特性对采集的原始数据进行预
处理, 挖掘反映人体生理状态的本质特征, 进而采用同步预测机制在感知节点和汇聚节点处分别 …