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 …

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 …

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 …

Convergence of Machine Learning, Internet of Things, and computationally powerful single-
board computers has boosted research and implementation of smart spaces. Smart spaces …

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 …

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 …

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 …

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 …