A sequential deep learning application for recognising human activities in smart homes

D Liciotti, M Bernardini, L Romeo, E Frontoni - Neurocomputing, 2020 - Elsevier
The recent advancement and development of computer electronic devices has led to the
adoption of smart home sensing systems, stimulating the demand for associated products …

Dilated causal convolution with multi-head self attention for sensor human activity recognition

RA Hamad, M Kimura, L Yang, WL Woo… - Neural Computing and …, 2021 - Springer
Abstract Systems of sensor human activity recognition are becoming increasingly popular in
diverse fields such as healthcare and security. Yet, developing such systems poses inherent …

Two-layer hidden Markov model for human activity recognition in home environments

MH Kabir, MR Hoque, K Thapa… - International Journal of …, 2016 - journals.sagepub.com
Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for
everyday living. Recognition of ADLs is key element for building intelligent and pervasive …

Joint learning of temporal models to handle imbalanced data for human activity recognition

RA Hamad, L Yang, WL Woo, B Wei - Applied Sciences, 2020 - mdpi.com
Human activity recognition has become essential to a wide range of applications, such as
smart home monitoring, health-care, surveillance. However, it is challenging to deliver a …

Efficacy of imbalanced data handling methods on deep learning for smart homes environments

RA Hamad, M Kimura, J Lundström - SN Computer Science, 2020 - Springer
Human activity recognition as an engineering tool as well as an active research field has
become fundamental to many applications in various fields such as health care, smart home …

Activity recognition in smart homes

L Lu, C Qing-Ling, Z Yi-Ju - Multimedia Tools and Applications, 2017 - Springer
In recent years, activity recognition in smart homes is an active research area. It is an
important problem of Human Computer Interaction (HCI), and has many applications in HCI …

State-Space based Linear Modeling for Human Activity Recognition in Smart Space.

MH Kabir, K Thapa, JY Yang - Intelligent Automation & …, 2019 - search.ebscohost.com
Recognition of human activity is a key element for building intelligent and pervasive
environments. Inhabitants interact with several objects and devices while performing any …

Machine learning activity detection using ML. Net

A Alexan, A Alexan, O Ştefan - 2020 IEEE 26th International …, 2020 - ieeexplore.ieee.org
Our living environment is becoming more and more aware of our presence and starts to
react and interact with us. The smart house has long moved from concept to reality., as our …

Toward smart doors: A position paper

L Capogrosso, G Skenderi, F Girella, F Fummi… - … Conference on Pattern …, 2022 - Springer
Conventional automatic doors cannot distinguish between people wishing to pass through
the door and people passing by the door, so they often open unnecessarily. This leads to the …

WISE: web of object architecture on IoT environment for smart home and building energy management

J Yu, NK Lee, CS Pyo, YS Lee - The Journal of Supercomputing, 2018 - Springer
Fog computing extends cloud-based computing concept to the edge of the network, thus
enabling a breed of services and applications. Previous research topics on fog computing …