mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification

mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification

The emerging research on automatic identification of user’s contexts from the cross-domain environment in ubiquitous and pervasive computing systems has proved to be successful. Monitoring the diversified user’s contexts and behaviors can help in controlling lifestyle associated to chronic diseases...

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Bibliographic Details
Main Authors: Muhammad Asif Razzaq, Claudia Villalonga, Sungyoung Lee, Usman Akhtar, Maqbool Ali, Eun-Soo Kim, Asad Masood Khattak, Hyonwoo Seung, Taeho Hur, Jaehun Bang, Dohyeong Kim, Wajahat Ali Khan
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
context-awareness
ontologies
reasoning
fusioning
human behavior identification
Online Access:https://www.mdpi.com/1424-8220/17/10/2433

Internet

https://www.mdpi.com/1424-8220/17/10/2433

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