Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects

MM Islam, S Nooruddin, F Karray… - Computers in biology and …, 2022 - Elsevier
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning

D Bouchabou, SM Nguyen, C Lohr, B LeDuc… - Sensors, 2021 - mdpi.com
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

Human activity recognition based on multienvironment sensor data

Y Li, G Yang, Z Su, S Li, Y Wang - Information Fusion, 2023 - Elsevier
With the development of artificial intelligence and the broad application of sensors, human
activity recognition (HAR) technologies based on noninvasive environmental sensors have …

Advanced internet of things for personalised healthcare systems: A survey

J Qi, P Yang, G Min, O Amft, F Dong, L Xu - Pervasive and mobile …, 2017 - Elsevier
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …

Recognizing detailed human context in the wild from smartphones and smartwatches

Y Vaizman, K Ellis, G Lanckriet - IEEE pervasive computing, 2017 - ieeexplore.ieee.org
The ability to automatically recognize a person's behavioral context can contribute to health
monitoring, aging care, and many other domains. Validating context recognition in the wild is …

The elderly's independent living in smart homes: A characterization of activities and sensing infrastructure survey to facilitate services development

Q Ni, AB Garcia Hernando, IP De la Cruz - Sensors, 2015 - mdpi.com
Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments

A Jalal, S Kamal, D Kim - Sensors, 2014 - mdpi.com
Recent advancements in depth video sensors technologies have made human activity
recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR …

A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living

ARM Forkan, I Khalil, Z Tari, S Foufou, A Bouras - Pattern Recognition, 2015 - Elsevier
This research aims to describe pattern recognition models for detecting behavioural and
health-related changes in a patient who is monitored continuously in an assisted living …

Developing smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis

F Zhang, APC Chan, D Li - Safety science, 2023 - Elsevier
As aging problem gets severe, more elderly people require better residences to support their
later lives. Considering complicated safety and health risks the elderly would encounter …

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 …