[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 …

[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 …

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 …

Hybrid convolutional neural network ensemble for activity recognition in mobile phones

JH Chan, HJ Lim, NS Hoang, JH Lim, K Nguyen… - Soft Computing for …, 2021 - Springer
The increasing importance of human activity recognition in Ambient Assisted Living systems
(AAL) has brought a tremendous growth in research efforts in the field. Amongst these, the …

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] Home Automation with Machine Learning for Activity Recognition

S Kulkarni, G Kumbharkar, S Shinde… - Int. J. Eng. Sci. Comput., 2019 - ii4journal.org
Activity recognition plays an important role in providing assistance and care for users in
smart homes. Multi-sensors can provide assistance to human by collecting the data of …

Human activity recognition using temporal convolutional network

N Nair, C Thomas, DB Jayagopi - … of the 5th international Workshop on …, 2018 - dl.acm.org
Human activity recognition using wearable sensors is an area of interest for various domains
like healthcare, surveillance etc. Various approaches have been used to solve the problem …

A fine-tuning based approach for daily activity recognition between smart homes

Y Yu, K Tang, Y Liu - Applied Sciences, 2023 - mdpi.com
Daily activity recognition between different smart home environments faces some
challenges, such as an insufficient amount of data and differences in data distribution …

Human Activity Behavioural Pattern Recognition in Smart Home with Long-Hour Data Collection

R Kolkar, V Geetha - SN Computer Science, 2023 - Springer
The research on human activity recognition has provided novel solutions to many
applications like health care, sports, and user profiling. Considering the complex nature of …

End-to-end deep learning-based human activity recognition using channel state information

CH Hsieh, JY Chen, CM Kuo, P Wang - Journal of Internet …, 2021 - jit.ndhu.edu.tw
The automatic recognition of human activities in the house using Channel State Information
(CSI) has received wide attention due to the potential use of wide range of intelligent …