Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes

A Natani, A Sharma, T Perumal - Applied Intelligence, 2021 - Springer
Advances in smart home technology and IoT devices had made us capable of monitoring
human activities in a non-intrusive way. This data, in turn, enables us to predict the health …

Recognizing multi-resident activities in non-intrusive sensor-based smart homes by formal concept analysis

J Hao, A Bouzouane, S Gaboury - Neurocomputing, 2018 - Elsevier
Activity recognition is one of the most important prerequisites for smart home applications. It
is a challenging topic due to the high requirements for reliable data acquisition and efficient …

Multi-resident type recognition based on ambient sensors activity

Q Li, W Huangfu, F Farha, T Zhu, S Yang… - Future Generation …, 2020 - Elsevier
With the development of sensing and intelligent technologies, ambient sensor-based activity
recognition is attracting more attention for a wide range of applications. One of the …

Multi-Label kNN classifier with Online Dual Memory on data stream

X Wang, P Kuntz, F Meyer… - … conference on data …, 2021 - ieeexplore.ieee.org
Due to an ever-increasing demand for analyzing the large volumes of information issuing
from high-speed data streams, multi-label stream classification is replacing the traditional …

Tracking and recognizing the activity of multi resident in smart home environments

R Mohamed, T Perumal, MN Sulaiman… - Journal of …, 2017 - jtec.utem.edu.my
Tracking and recognizing the functional activities in a smart home environment using
ambient sensor technology is becoming an interesting field to discover. Its passive and …

MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition

E Ramanujam, T Perumal - Journal of Ambient Intelligence and …, 2023 - Springer
Smart home automation is protective and preventive measures that are taken to monitor
elderly people in a non-intrusive manner using simple and pervasive sensors termed …

Easy-to-deploy living activity sensing system and data collection in general homes

T Matsui, K Onishi, S Misaki, M Fujimoto… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Emergence of smart appliances and high performance IoT devices is promoting studies on
more functional and intelligent home services using these devices. Especially, in developed …

[图书][B] Sensor-based human activity recognition: Overcoming issues in a real world setting

T Sztyler - 2019 - search.proquest.com
The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

[PDF][PDF] Multi-Headed Deep Learning Models to Detect Abnormality of Alzheimer's Patients.

SM Ammal, PS Manoharan - Computer Systems Science & …, 2023 - cdn.techscience.cn
The elders with AD exhibit various abnormalities in their activities, such as sleep
disturbances, wandering aimlessly, forgetting activities, etc., which are the strong signs and …

Learning from smart home data: Methods and challenges of data acquisition and analysis in smart home solutions

M Antić, I Papp, S Ivanović… - IEEE Consumer Electronics …, 2020 - ieeexplore.ieee.org
As the adoption rate of commercial smart home solutions increases, it drives the
development of novel system features, needed to support advanced user scenarios. Being …