Publication Type : Book Chapter
Publisher : Springer Nature Switzerland
Source : Studies in Computational Intelligence
Url : https://doi.org/10.1007/978-3-031-38281-9_11
Campus : Amaravati
School : School of Computing
Department : Computer Science and Engineering
Year : 2023
Abstract : Ambient intelligence (AmI), a new paradigm in artificial intelligence, seeks to enhance people's abilities by utilizing sensitive digital surroundings that are responsive to human requirements, routines, activities, and emotions. With the use of perceptive communications that are intrusive, covert, and proactive, future society will be able to communicate with humans and machines in novel ways. Such AmI technology is a result of cutting-edge interaction paradigms. An appropriate choice for developing a variety of workable solutions, notably in the field of healthcare. To provide the necessary context for the scientific community, this survey will explore the development of AmI approaches in the healthcare industry. We will discuss the infrastructure and technology required to implement AmI's vision, such as smart environments and wearable medical technologies. The most recent artificial intelligence (AI) development approaches used to produce AmI systems in the healthcare area will be outlined. making use of a variety of learning strategies (to learn from user interaction), reasoning techniques (to reason about the aims and objectives of users), and planning approaches (for organising activities and interactions). We'll also go over the possible advantages of AmI technology for those with various long-term physical, mental, or emotional conditions. In order to determine new avenues for future studies, we will showcase some of the successful case studies in the field and examine current and upcoming difficulties.
Cite this Research Publication : Sreemoyee Samanta, Adrija Mitra, Sushruta Mishra, Naga Srinivasu Parvathaneni, Ambient Healthcare: A New Paradigm in Medical Zone, Studies in Computational Intelligence, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-38281-9_11