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 …
A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset
The automatic recognition of human falls is currently an important topic of research for the
computer vision and artificial intelligence communities. In image analysis, it is common to …
computer vision and artificial intelligence communities. In image analysis, it is common to …
Docker-based intelligent fall detection using edge-fog cloud infrastructure
Health sector is a life critical domain, which requires fast and intelligent decisions. Artificial
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …
[HTML][HTML] Static and dynamic activity detection with ambient sensors in smart spaces
S Shelke, B Aksanli - Sensors, 2019 - mdpi.com
Convergence of Machine Learning, Internet of Things, and computationally powerful single-
board computers has boosted research and implementation of smart spaces. Smart spaces …
board computers has boosted research and implementation of smart spaces. Smart spaces …
Application of convolutional neural networks for fall detection using multiple cameras
Currently one of the most important research issue for artificial intelligence and computer
vision tasks is the recognition of human falls. Due to the current exponential increase in the …
vision tasks is the recognition of human falls. Due to the current exponential increase in the …
Vision-based obstacle avoidance for UAVs via imitation learning with sequential neural networks
This paper explores the feasibility of a framework for vision-based obstacle avoidance
techniques that can be applied to unmanned aerial vehicles, where such decision-making …
techniques that can be applied to unmanned aerial vehicles, where such decision-making …
A mobile cloud collaboration fall detection system based on ensemble learning
Falls are one of the major causes of accidental or unintentional injury death worldwide.
Therefore, this paper proposes a reliable fall detection algorithm and a mobile cloud …
Therefore, this paper proposes a reliable fall detection algorithm and a mobile cloud …
[PDF][PDF] Autonomous Navigation for Mobile Robots: Machine Learning-based Techniques for Obstacle Avoidance
B Park - 2019 - core.ac.uk
Autonomous navigation of unmanned aerial vehicles (UAVs) has posed several challenges
due to the limitations regarding the number and size of sensors that can be attached to the …
due to the limitations regarding the number and size of sensors that can be attached to the …