CONTEXT-AWARE REASONING ENGINE WITH HIGH LEVEL KNOWLEDGE FOR SMART HOME

2011 ◽  
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
High Level ◽  
Reasoning Engine

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.

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

scholarly journals Context-aware decision making under uncertainty for voice-based control of smart home

2017 ◽  
Vol 75 ◽  
pp. 63-79 ◽  
Author(s):  
Pedro Chahuara ◽  
François Portet ◽  
Michel Vacher
Keyword(s):  
Decision Making ◽  
Smart Home ◽  
Decision Making Under Uncertainty ◽  
Context Aware

A Differentially Private Context-Aware Edge-Cloud-Enabled Nursing System in Smart Home

2021 ◽  
Author(s):  
Gang-Ting Liu ◽  
Qi-Wen Li ◽  
Dan-Hong Wang ◽  
Ruo-Bing Ren ◽  
Hai-Tao Chou ◽  
...  
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Private Context

A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

2009 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Rough Set Theory ◽  
Research Problem ◽  
Information Model ◽  
Context Aware ◽  
Sensor Platform ◽  
Smart Home Environment ◽  
Manual Assistance

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm

2021 ◽  
Vol 17 (4) ◽  
pp. 41-59
Author(s):  
Deeba K. ◽  
Saravanaguru R. A. K.
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Smart Devices ◽  
Context Aware ◽  
Healthcare Applications ◽  
Context Aware Computing ◽  
Context Reasoning ◽  
Reasoning System ◽  
High Level

Today, IoT-related applications play an important role in scientific world development. Context reasoning emphasizes the perception of various contexts by means of collection of IoT data which includes context-aware decision making. Context-aware computing is used to improve the abilities of smart devices and is increased by smart applications. In this paper, context-aware for the internet of things middleware (CAIM) architecture is used for developing a rule-based system using CA-RETE algorithm. The objective of context-aware systems are concentrated on 1) context reasoning methodologies and analyzing how the technologies will involve enhancing the high-level context data, 2) framework of context reasoning system, 3) implementation of CA-RETE algorithm for predicting gestational diabetes mellitus in healthcare applications.

Enablement of IoT Based Context-Aware Smart Home With Fog Computing

Fog Computing ◽  
2018 ◽  
pp. 251-263 ◽  
Author(s):  
Maggi Bansal ◽  
Inderveer Chana ◽  
Siobhan Clarke
Keyword(s):  
Smart Home ◽  
Fog Computing ◽  
Context Aware ◽  
Monitoring And Control ◽  
Context Processing ◽  
Context Aware Computing ◽  
Smart Lighting ◽  
Human In The Loop ◽  
Smart Appliances ◽  
Situational Information

The recent advent of Internet of Things (IoT), has given rise to a plethora of smart verticals- smart homes being one of them. Smart Home is a classic example of IoT, wherein smart appliances connected via home gateways constitute a local home network to assist people in activities of daily life. Smart Home involves IoT-based automation (such as smart lighting, heating, surveillance etc.), remote monitoring and control of smart appliances. Besides automation, human-in-the-loop is a unique characteristic of Smart home to offer personalized services. Understanding the human behavior requires context processing. Thus, enablement of Smart home involves two prominent technologies IoT and context-aware computing. Further, local devices lying in the smart home have the implicit location and situational information, hence fog computing can offer real-time smart home services. In this paper, the authors propose ICON (IoT-based CONtext-aware) framework for context-aware IoT applications such as smart home, further ICON leverages fog-based IoT middleware to perform context-aware processing.

High-Level Design and Implementation of a Home Autonomous System Based on CPS Modeling

2018 ◽  
pp. 121-142
Author(s):  
Basman M. Alhafidh ◽  
William H. Allen
Keyword(s):  
Smart Home ◽  
Autonomous System ◽  
Machine Learning Algorithms ◽  
Design And Implementation ◽  
Use Of Resources ◽  
User Data ◽  
Level Design ◽  
High Level ◽  
Accuracy Of Prediction ◽  
User Actions

The process used to build an autonomous smart home system based on cyber-physical systems (CPS) principles has recently received increased attention from researchers and developers. However, there are many challenges to be resolved before designing and implementing such a system. In this chapter, the authors present a high-level design approach that simulates a smart home system by implementing three levels of the 5C architecture used in CPS modeling and uses well-known machine learning algorithms to predict future user actions. The simulation demonstrates how users will interact with the smart home system to make more efficient use of resources. The authors also present results from analyzing real-world user data to validate the accuracy of prediction of user actions. This research illustrates the benefits of considering CPS principles when designing a home autonomous system that reliably predicts a user's needs.

Sign in / Sign up

Export Citation Format

Share Document