A Diallo, C Diallo - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Applying deep learning to IoT data classification would yield deeper and more useful insights. IoT field is very wide and has several applications. In this paper we focus on smart …
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes …
H Fang, C Hu - Proceedings of the 33rd Chinese control …, 2014 - ieeexplore.ieee.org
There is a topic of interest for many researchers about human activities recognition in recent years. In this paper, we propose the research to recognize human activities by deep learning …
R Kolkar, V Geetha - 2021 13th International conference on …, 2021 - ieeexplore.ieee.org
To understand the human activities and anticipate his intentions Human Activity Recognition (HAR) research is rapidly developing in tandem with the widespread availability of sensors …
The research on human activity recognition has provided novel solutions to many applications like health care, sports, and user profiling. Considering the complex nature of …
Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort …
L Babangida, T Perumal, N Mustapha… - IEEE sensors …, 2022 - ieeexplore.ieee.org
A smart home, which is an extension of a traditional home, is equipped with ubiquitous sensors embedded in consumer appliances, connected via sensing technologies such as …
HD Mehr, H Polat - 2019 7th International Istanbul Smart Grids …, 2019 - ieeexplore.ieee.org
Vision-based human activity recognition in smart homes has become a significant issue in terms of developing the next generation technologies which can improve healthcare and …
Human activity recognition using smart home sensors is one of the bases of ubiquitous computing in smart environments and a topic undergoing intense research in the field of …