Publication Type : Book Chapter
Publisher : Springer Nature Switzerland
Source : Studies in Computational Intelligence
Url : https://doi.org/10.1007/978-3-031-38281-9_12
Campus : Amaravati
School : School of Computing
Department : Computer Science and Engineering
Year : 2023
Abstract : The term “Ambient Intelligence” describes physical environments that are perceptive to and responsive to human presence. It has been made possible by developments in machine learning and contactable sensors. In this paper, we will discuss about how AmI technology might assist people with various physical, mental or chronic illnesses. We examine how this technology could enhance our comprehension of the hidden areas of healthcare. Early implementations in hospitals may soon allow for more effective clinical processes and raise patient safety in operating rooms and intensive care units. We focus on the four key facets of reliability, that is, privacy, fairness, transparency and research ethics. We will also concentrate on a few technological problems and potential solutions associated with acquiring knowledge from a huge cluster of data and detecting unexpected events in clinical settings. By carefully utilizing this technology, we would be able to comprehend the intricate interactions between the crucial human behaviours and physical environment.
Cite this Research Publication : Sagnik Ghosh, Dibyendu Mehta, Shubham Kumar, Sushruta Mishra, Baidyanath Panda, Naga Srinivasu Parvathaneni, Illuminating Unexplored Corners in Healthcare Space Using Ambience Intelligence, Studies in Computational Intelligence, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-38281-9_12