Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University, 140401, Punjab, India
Abstract
Over the years, Recommender systems have emerged as a means to provide relevant content to the users, be it in the field of entertainment, social-network, health, education, travel, food or tourism. Further,with the expeditious development of Big Data and Internet of Things (IoT), technology
has successfully associated with our everyday life activities with smart healthcare being one. The global acceptance towards smart watches, wearable devices or wearable biosensors have paved the way for the evolution of novel applications for personalized eHealth and mHealth technologies.
The data gathered by wearables can further be interpreted using Machine learning algorithms and shared with healthcare experts to provide suitable recommendations. In this work, we study the role of recommender systems in IoT and Cloud and vice-versa. Further, we have analyzed the performance
of different machine learning techniques on SWELL dataset. Based on the results, it is observed that 2 Class Neural network performs the best with 98% accuracy.
Publisher
American Scientific Publishers
Subject
Electrical and Electronic Engineering,Computational Mathematics,Condensed Matter Physics,General Materials Science,General Chemistry
Cited by
8 articles.
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