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 …
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
A federated learning system with enhanced feature extraction for human activity recognition
With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …
Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population
Over the last decade, there has been considerable and increasing interest in the
development of Active and Assisted Living (AAL) systems to support independent living. The …
development of Active and Assisted Living (AAL) systems to support independent living. The …
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 …
Enabling technologies for the internet of health things
JJPC Rodrigues, DBDR Segundo, HA Junqueira… - Ieee …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the most promising technologies for the near future.
Healthcare and well-being will receive great benefits with the evolution of this technology …
Healthcare and well-being will receive great benefits with the evolution of this technology …
Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning
AM Ghosh, K Grolinger - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Rapid growth in numbers of connected devices including sensors, mobile, wearable, and
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …
Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …
because of the increasing availability of environmental and wearable sensors for collecting …
A novel IoT-perceptive human activity recognition (HAR) approach using multihead convolutional attention
Together with the fast advancement of the Internet of Things (IoT), smart healthcare
applications and systems are equipped with increasingly more wearable sensors and …
applications and systems are equipped with increasingly more wearable sensors and …
[HTML][HTML] Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …
intelligence (AI)—infused applications and platforms that support their users in need in …