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Smart Home Technologies. CSE 4392 / CSE 5392 Spring 2006 Manfred Huber huber@omega.uta.edu. Intelligent Environments. Environments that use technology to assist inhabitants by automating task components Aimed at improving inhabitants’ experience and task performance

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smart home technologies
Smart Home Technologies

CSE 4392 / CSE 5392

Spring 2006

Manfred Huber

huber@omega.uta.edu

intelligent environments
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
Objectives ofIntelligent Environments
  • Improve Inhabitant experience:
    • Optimize inhabitant productivity
    • Minimize operating costs
    • Improve comfort
    • Simplify use of technologies
    • Ensure security
    • Enhance accessibility
requirements for intelligent environments
Requirements forIntelligent 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
examples of intelligent environments
Examples of Intelligent Environments
  • Intelligent Workspaces
    • Automatic note taking
    • Simplified information sharing
    • Optimized climate controls
    • Automated supply ordering
examples of intelligent environments6
Examples of Intelligent Environments
  • Intelligent Vehicles
    • Location-aware navigation systems
    • Task-specific navigation
    • Traffic-awareness
examples of intelligent environments7
Examples of Intelligent Environments
  • Smart Homes
    • Optimized climate and light controls
    • Item tracking and automated ordering for food and general use items
    • Automated alarm schedules to match inhabitants’ preferences
    • Control of media systems
existing projects
Existing Projects
  • Academic
    • Georgia Tech Aware Home
    • MIT Intelligent Room
    • Stanford Interactive Workspaces
    • UC Boulder Adaptive House
    • UTA MavHome Smart Home
    • TCU Smart Home
existing projects9
Existing Projects
  • Industry
    • General Electric Smart Home
    • Microsoft Easy Living
    • Philips Vision of the Future
    • Verizon Connected Family
georgia tech aware home
Georgia Tech Aware Home
  • Perceive and assist occupants
  • Aging in Place (crisis support)
  • Ubiquitous sensing
    • Scene understanding, object recognition
    • Multi-camera, multi-person tracking
    • Context-based activity
  • Smart floor
  • http://www.cc.gatech.edu/fce/ahri/
mit intelligent room
MIT Intelligent Room
  • Support natural interaction with room
    • Speech-based information access
    • Gesture recognition
    • Movement tracking
    • Context-aware automation
  • http://www.ai.mit.edu/projects/aire/
stanford interactive workspaces
Stanford Interactive Workspaces
  • Large wall and tabletop interactive displays
  • Scientific visualization
  • Mobile computing devices
  • Computer-supported cooperative work
  • Distributed system architectures
  • http://iwork.stanford.edu/
uc boulder adaptive house
UC Boulder Adaptive House
  • Infer patterns and predict actions
  • Machine learning for automation
  • HVAC, water heater, lighting control
  • Goals:
    • Reduce occupant manual control
    • Improve energy efficiency
  • http://www.cs.colorado.edu/~mozer/house/
uta mavhome smart home
UTA MavHome Smart Home
  • Learning of inhabitant patterns
  • Learn optimal automation strategies
  • Goals
    • Maximize comfort and productivity Minimize cost
    • Ensure security
  • http://ranger.uta.edu/smarthome/
tcu smart home
TCU Smart Home
  • Inhabitant Prediction
  • Smart entertainment control
  • Smart kitchen recipe services
  • Household staff modeling
  • http://personal.tcu.edu/~lburnell/crescent/crescent.html
general electric smart home
General Electric Smart Home
  • Appliance control interfaces
  • Climate control
  • Energy management devices
  • Lighting control
  • Security systems
  • Consumer Electronics Bus (CEBus)
  • http://www.geindustrial.com/cwc/home
microsoft easy living
Microsoft Easy Living
  • Camera-based person detection and tracking
  • Geometric world modeling for context
  • Multimodal sensing
  • Biometric authentication
  • Distributed systems
  • Ubiquitous computing
  • http://research.microsoft.com/easyliving/
philips vision of the future
Philips Vision of the Future
  • Less obtrusive technology
  • Technology devices
    • Interactive wallpaper
    • Control wands
    • Intelligent garbage can
  • http://www.design.philips.com/vof
verizon connected family
Verizon Connected Family
  • Remote monitoring of the home
  • Entry authentication
  • Integrated, pervasive communications
  • Centralized data management
challenges in intelligent environments
Challenges inIntelligent 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
sensors
Sensors
  • How many and what type?
  • How to interpret sensor data?
  • How to interface with sensors?
  • Are sensors active or passive?
communications
Communications
  • What medium and protocol?
  • How to handle bandwidth limitations?
  • What structure does the communication infrastructure have?
data management
Data Management
  • How to store all the data?
  • What data is stored?
  • How is data distributed to the pervasive computing infrastructure?
prediction decision making
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?
automation
Automation
  • How are the tasks automated?
  • How are actuators controlled?
  • How is safety ensured?
system integration
System Integration
  • How to achieve extensibility?
  • Should the system be centralized or decentralized?
  • How to integrate existing technology components?
  • How to make integration and interface intuitive?
privacy
Privacy
  • How to ensure that inhabitant information remains private?
  • What data should be gathered?
  • How should personal data be maintained and used?
course topics
Course Topics
  • Sensing
  • Networking
  • Databases
  • Prediction and Data Mining
  • Decision Making
  • Robotics
  • Privacy Issues
example scenario
Example Scenario
  • Smart kitchen item tracking
    • Sense and monitor items in the kitchen
    • Predict usage patterns
    • Automatically generate shopping lists based on usage patterns
    • Automatically retrieve replacement items