A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
Automated cognitive health assessment in smart homes using machine learning
AR Javed, LG Fahad, AA Farhan, S Abbas… - Sustainable Cities and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) provides smart solutions for future urban communities to
address key benefits with the least human intercession. A smart home offers the necessary …
address key benefits with the least human intercession. A smart home offers the necessary …
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Advanced internet of things for personalised healthcare systems: A survey
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 …
new research topic in many academic and industrial disciplines, especially in healthcare …
A collaborative healthcare framework for shared healthcare plan with ambient intelligence
The fast propagation of the Internet of Things (IoT) devices has driven to the development of
collaborative healthcare frameworks to support the next generation healthcare industry for …
collaborative healthcare frameworks to support the next generation healthcare industry for …
Human activity recognition using inertial sensors in a smartphone: An overview
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …
processing, portability, and power of sensing, have greatly changed people's lives. Today …
A deep learning approach to on-node sensor data analytics for mobile or wearable devices
The increasing popularity of wearable devices in recent years means that a diverse range of
physiological and functional data can now be captured continuously for applications in …
physiological and functional data can now be captured continuously for applications in …
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 …