Ambient Intelligence

Author:

Edeh Michael Onyema1ORCID,G. Ramesh2,Kumar Karan2,Pawale Satyam2,A. Abdullah2,J. Shreyas3

Affiliation:

1. Coal City University, Nigeria & Saveetha School of Engineering, SIMATS, Chennai, India

2. Alva's Institute of Engineering and Technology, India

3. Manipal Institute of Technology Bengaluru/Manipal Academy of Higher Education, Manipal, India

Abstract

This chapter examines the use of ambient intelligence (AmI) technologies to enhance autonomy and quality of life for those with cognitive decline, focusing on advancements in sensors. It proposes a framework to identify gaps and draws insights from applications such as ambient assistive living (AAL), human action recognition, and the industrial internet of things (IIoT). The study highlights technology's role in understanding occupant behavior, supporting services, and maintaining autonomy, addressing decentralized systems, blockchain, adaptive computing, and ethical concerns. The research stresses the need for further studies to ensure safe and effective sensor technology in real-world applications, emphasizing sensors' role in linking computational power with real-world scenarios.

Publisher

IGI Global

Reference28 articles.

1. Aarts, E. (2020). Ambient Intelligence. J. Denning (ed.) The Invisible Future. McGraw Hill, New York.

2. Ambient Intelligence;E.Aarts;The Invisible Future

3. Alladi, T., Agrawal, A., Gera, B., Chamola, V., & Yu, R. (2023). Ambient Intelligence for Securing Intelligent Vehicular Networks: Edge-Enabled Intrusion and Anomaly Detection Strategies.IEEE Internet of Things Magazine. IEEE.

4. Decentralized recommender system for ambient intelligence of tourism destinations serious game using known and unknown rating approach

5. BillinghurstM. (2010). Hartmut Seichter. Human-Centric Interfaces for Ambient Intelligence.

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