Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
Non-intrusive human activity recognition and abnormal behavior detection on elderly people: A review
With the world population aging at a fast rate, ambient assisted living systems focused on
elderly people gather more attention. Human activity recognition (HAR) is a component …
elderly people gather more attention. Human activity recognition (HAR) is a component …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
Human activity recognition for elderly people using machine and deep learning approaches
There are more than 962 million people aged 60 and up globally. Physical activity declines
as people get older, as does their capacity to undertake everyday tasks, effecting both …
as people get older, as does their capacity to undertake everyday tasks, effecting both …
An edge computing based anomaly detection method in IoT industrial sustainability
X Yu, X Yang, Q Tan, C Shan, Z Lv - Applied Soft Computing, 2022 - Elsevier
In recent years, the evolving Internet of Things (IoT) technology has been widely used in
various industrial scenarios, whereby massive sensor data involving both normal data and …
various industrial scenarios, whereby massive sensor data involving both normal data and …
Elderly perception on the internet of things-based integrated smart-home system
An integrated smart home system (ISHS) is an effective way to improve the quality of life of
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …
Deep learning for radio-based human sensing: Recent advances and future directions
While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …
Dilated causal convolution with multi-head self attention for sensor human activity recognition
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 …
diverse fields such as healthcare and security. Yet, developing such systems poses inherent …
A survey of deep learning based models for human activity recognition
NS Khan, MS Ghani - Wireless Personal Communications, 2021 - Springer
Abstract Human Activity Recognition (HAR) is a process of recognizing human activities
automatically based on streaming data obtained from various sensors, such as, inertial …
automatically based on streaming data obtained from various sensors, such as, inertial …
Bias mitigation in federated learning for edge computing
Federated learning (FL) is a distributed machine learning paradigm that enables data
owners to collaborate on training models while preserving data privacy. As FL effectively …
owners to collaborate on training models while preserving data privacy. As FL effectively …