Paper Info
Title
IoT based activity recognition among smart home residents.
Abstract
Activity recognition in smart home environment is actively pursued for accessing changes in physical and behavioral profiles of home dwellers. Various activity recognition solutions have been previously proposed to implement a system with wearable sensors and smartphones. Although such solutions are widely integrated, the availability of the activity data in seamless way still poses interesting research challenges. Internet of Things (IoT) is seen as new paradigm, revolutionizing consumer electronics by extending Internet connectivity to many physical objects associated with consumer's daily life. In this paper, an Internet of Things (IoT) based activity recognition framework is proposed for activity monitoring within consumer home network. Our proposed Elgar framework handles management of activity recognition via IoT services in an IoT environment with multiple devices. The performance evaluation done pointed that the proposed system can robustly identify the activities using IoT in smart home environment with high accuracy. Hence, this system could be reliably deployed into a consumer product for the usage of home dwellers.
Year
Venue
Keywords
2017
IEEE Global Conference on Consumer Electronics
Internet of Things (IoT),Smart Homes,Activity Recognition,Elgar Framework
Field
DocType
ISSN
Activity recognition,Wearable computer,Computer science,Server,Internet of Things,Home automation,Internet access,Multimedia
Conference
2378-8143
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Thinagaran Perumal13010.78
Y. L. Chui200.34
Mohd Anuaruddin Bin Ahmadon3610.13
shingo46431.04