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Smart Home Technologies

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Intelligent Environments

Environments that use technology to assist inhabitants by automating task components
Aimed at improving inhabitants’ experience and task performance
NOT: large number of electronic gadgets

Objectives of Intelligent Environments

Improve Inhabitant experience:
Optimize inhabitant productivity
Minimize operating costs
Improve comfort
Simplify use of technologies
Ensure security
Enhance accessibility

Requirements for Intelligent Environments

Acquire and apply knowledge about tasks that occur in the environment
Automate task components that improve efficiency of inhabitant tasks
Provide unobtrusive human-machine interfaces
Adapt to changes in the environment and of the inhabitants
Ensure privacy of the inhabitants

Existing Projects

Academic
Georgia Tech Aware Home
MIT Intelligent Room
Stanford Interactive Workspaces
UC Boulder Adaptive House
UTA MavHome Smart Home
TCU Smart Home

Stanford Interactive Workspaces

Large wall and tabletop interactive displays
Scientific visualization
Mobile computing devices
Computer-supported cooperative work
Distributed system architectures

Microsoft Easy Living

Camera-based person detection and tracking
Geometric world modeling for context
Multimodal sensing
Biometric authentication
Distributed systems
Ubiquitous computing

Challenges in Intelligent Environments

Home design and sensor layout
Communication and pervasive computing
Natural interfaces
Management of available data
Capture and interpretation of tasks
Decision making for automation
Robotic control
Large-scale integration
Inhabitant privacy

Prediction & Decision Making

How to extract and represent inhabitants’ task patterns?
What patterns should be maintained?
How to determine the actions to automate?
To what level should tasks be automated?