ADLnet: A 1d-CNN for Activity of Daily Living Recognition in Smart Homes

F Salice, A Masciadri, G Di Blasio, M Venturelli… - … Computing and Ambient …, 2023 - Springer
Human activity recognition (HAR) systems enable continuous monitoring of human
behaviours in several areas, including activity of daily living (ADL) detection in ambient …

[PDF][PDF] Sensor-based human activity recognition in smart homes using depthwise separable convolutions

D Alghazzawi, O Rabie, O Bamasaq, A Albeshri… - Hum.-Cent. Comput. Inf …, 2022 - hcisj.com
The recent enhancement of computerized electronic gadgets has led to the acceptance of
smart home sensing applications, stimulating a need for related services and products. As a …

Recognizing Activities of Daily Living Using 1D Convolutional Neural Networks for Efficient Smart Homes

JS ARABIA - platform.almanhal.com
Human activity recognition is considered a challenging task in sensor-based monitoring
systems. In ambient intelligent environments, such as smart homes, collecting data from …

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 …

Leveraging Self-Supervised Learning for Human Activity Recognition with Ambient Sensors

H Chen, C Gouin-Vallerand, K Bouchard… - Proceedings of the …, 2023 - dl.acm.org
Human activity recognition (HAR) using ambient sensors has emerged as a promising
approach to telemonitoring daily activities and enhancing the elderly quality of life. Deep …

[PDF][PDF] Recognizing activities of daily living using 1D convolutional neural networks for efficient smart homes

S Alghamdi, E Fadel, N Alowidi - International Journal of …, 2021 - researchgate.net
Human activity recognition is considered a challenging task in sensor-based monitoring
systems. In ambient intelligent environments, such as smart homes, collecting data from …

Ensemble of deep autoencoder classifiers for activity recognition based on sensor modalities in smart homes

S Thomas, M Bourobou, J Li - … 2018, Zhengzhou, China, September 21-23 …, 2018 - Springer
Over the past few years, a particular interest has been focused toward activity recognition
domain. Indeed, human activity recognition pays more attention on the extraction of relevant …

Deep Learning based Human Activity Recognition in Smart Home

K Anbazhagan, G Swamy, R Janani… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) in the context of smart homes has attracted considerable
interest because to its potential to increase residents' quality of life, safety, and energy …

Human activity recognition using recurrent neural networks

D Singh, E Merdivan, I Psychoula, J Kropf… - … : First IFIP TC 5, WG 8.4 …, 2017 - Springer
Human activity recognition using smart home sensors is one of the bases of ubiquitous
computing in smart environments and a topic undergoing intense research in the field of …

Deep Learning Approaches for Recognizing Daily Human Activities Using Smart Home Sensors

W Sanpote, P Jantawong, N Hnoohom… - … on Digital Arts …, 2023 - ieeexplore.ieee.org
Nowadays, one of the most important objectives in health-related research is the
improvement of the living condition and well-being of people. Smart home systems can …