scholarly journals A Context-Aware System for Smart Home Applications

2005 ◽  
pp. 298-305 ◽  
Author(s):  
Wen-Yang Wang ◽  
Chih-Chieh Chuang ◽  
Yu-Sheng Lai ◽  
Ying-Hong Wang
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Context Aware System

scholarly journals A non-intrusive context-aware system for ambient assisted living in smart home

2013 ◽  
Vol 3 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Willy Allègre ◽  
Thomas Burger ◽  
Jean-Yves Antoine ◽  
Pascal Berruet ◽  
Jean-Paul Departe
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Context Aware ◽  
Context Aware System

Machine Learning Based Adaptive Context-Aware System for Smart Home Environment

2015 ◽  
Vol 9 (11) ◽  
pp. 55-62 ◽  
Author(s):  
M. Humayun Kabir ◽  
M. Robiul Hoque ◽  
Hyungyu Seo ◽  
Sung-Hyun Yang
Keyword(s):  
Machine Learning ◽  
Home Environment ◽  
Smart Home ◽  
Context Aware ◽  
Smart Home Environment ◽  
Context Aware System

Inference of Human Intentions in Smart Home Environments

2013 ◽  
Vol 1 (2) ◽  
pp. 26-42
Author(s):  
Katsunori Oyama ◽  
Carl K. Chang ◽  
Simanta Mitra
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Context Aware ◽  
Different Types ◽  
Human Intention ◽  
Smart Home Environment ◽  
System Requirements ◽  
Context Aware System ◽  
Context Models

Most of context models have limited capability in involving human intention for system evolvability and self-adaptability. Human intention in context aware systems can evolve at any time; however, context aware systems based on these context models can provide only standard services that are often insufficient for specific user needs. Consequently, evolving human intentions result in changes in system requirements. Moreover, an intention must be analyzed from tangled relations with different types of contexts. In the past, this complexity has prevented researchers from using computational methods for analyzing or specifying human intention in context aware system design. The authors investigated the possibility for inferring human intentions from contexts and situations, and deploying appropriate services that users require during system run-time. This paper presents an inference ontology to represent stepwise inference tasks, and then evaluate contexts surrounding a user who accesses PCs through a case study of the smart home environment.

Boolean Control Network Based Modeling for Context-Aware System in Smart Home

2016 ◽  
Vol 10 (4) ◽  
pp. 65-76
Author(s):  
M. Humayun Kabir ◽  
M. Robiul Hoque ◽  
Hyungyu Seo ◽  
Sung-Hyun Yang
Keyword(s):  
Smart Home ◽  
Control Network ◽  
Context Aware ◽  
Boolean Control Network ◽  
Context Aware System

scholarly journals A Context-Aware System Infrastructure for Monitoring Activities of Daily Living in Smart Home

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Qin Ni ◽  
Ana Belén García Hernando ◽  
Iván Pau de la Cruz
Keyword(s):  
Daily Living ◽  
Smart Home ◽  
Context Aware ◽  
Level Data ◽  
Common Activity ◽  
Context Knowledge ◽  
Monitoring Activities ◽  
Upper Level ◽  
Context Aware System ◽  
High Level

We propose a three-layered context-aware architecture for monitoring activities of daily life in smart home. This architecture provides for the inclusion of functionalities that range from low-level data collection to high-level context knowledge extraction. We have also devised an upper-level ontology to model the context in which the activities take place. This enables having a common activity-related context representation, on which to infer and share knowledge. Furthermore, we have begun to implement a platform that realizes our architecture and ontology, making use of Microsoft’s Lab of Things (LoT) platform, being the preliminary results on this task also described in the paper.

Algorithms for Rule Generation and Matchmaking in Context-Aware System

2009 ◽  
Vol 20 (10) ◽  
pp. 2655-2666 ◽  
Author(s):  
Dong LIU ◽  
Xiang-Wu MENG ◽  
Jun-Liang CHEN ◽  
Ya-Mei XIA
Keyword(s):  
Context Aware ◽  
Rule Generation ◽  
Context Aware System
Sign in / Sign up

Export Citation Format

Share Document