Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
[HTML][HTML] IoT in smart cities: A survey of technologies, practices and challenges
AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
[HTML][HTML] Latest research trends in fall detection and prevention using machine learning: A systematic review
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …
growing percentage of people of old age requires urgent development of fall detection and …
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 …
[HTML][HTML] IoT in healthcare: A scientometric analysis
This paper reviews scientific articles and patents about Internet of Things (IoT) in healthcare.
The aim is to explore both the domain of research and the one of practice simultaneously …
The aim is to explore both the domain of research and the one of practice simultaneously …
A survey of emergencies management systems in smart cities
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …
interact with each other. As most people now live in urban areas, cities are experiencing …
[HTML][HTML] Deep convolutional neural network with rnns for complex activity recognition using wrist-worn wearable sensor data
S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - mdpi.com
Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …
impact topic of research within human-centered computing. In the last decade, successful …
[HTML][HTML] An intelligent non-invasive real-time human activity recognition system for next-generation healthcare
Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
[HTML][HTML] Towards secure and intelligent internet of health things: A survey of enabling technologies and applications
With the growth of computing and communication technologies, the information processing
paradigm of the healthcare environment is evolving. The patient information is stored …
paradigm of the healthcare environment is evolving. The patient information is stored …