Importance of Ambient Intelligence (AmI) with Special Reference to Artificial Intelligence: An Analytical Study

Authors

  • Dr. Geetanjali Amarawat  Associate Professor, Degree Engineering (Computer Science), Shree Swaminarayan Vishwamangal Gurukul College, Kalol-Gandhinagar, India
  • Vaghela Falguni Vinodbhai  Research Scholar, Department of Computer Science & Engineering, Madhav University, Abu Road, Rajasthan, India

DOI:

https://doi.org//10.32628/CSEIT2064120

Keywords:

Ambient Intelligence, (AmI), Artificial Intelligence (AI), Ubiquitous Computing, Ubiquitous Communication, User Interface, Emotional Intelligence

Abstract

Human life is now going in such an environment where technologies become closer friends and family members. We prefer our cell phones to utilize our times rather than spending it with family members. Even we do more interaction with machines with compare to humans. Ambient Intelligence (AmI) is a modern technology in Computer Science and Information Technology (IT) that has potential for great impact in the future. The concept of AmI is that the people will be surrounded by intelligent objects that can sense the context and Situation and that can respond according to the desire of the people. AmI is a multidisciplinary area that combines the features of many areas in Computer Science. In last five years, we have seen significant advancement in various technologies that is mainly in three key area, that are Virtual Environments, Mobile Communication and Sensors. By combining these three areas we get the new technique named as Ambient Intelligence (AmI).

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Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. Geetanjali Amarawat, Vaghela Falguni Vinodbhai, " Importance of Ambient Intelligence (AmI) with Special Reference to Artificial Intelligence: An Analytical Study, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1324-1328, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT2064120