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smart environment


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  • 1. How smart are our environments?An updated look at the state of the art 學生:徐欣佑
  • 2. Introduction
    • Define a smart environment as
      • Able to acquire and apply knowledge about the environment
      • Can adapt inhabitant's preferences and requirements to improve their experience
  • 3. The type of experience that individuals wish
    • Safety of inhabitants
    • Reduction of cost of maintaining the inhabitants
    • Resource optimization(energy or bandwidth)
    • Task automation
  • 4. The components of a smart environment
    • Perception of the environment is a bottom-up process
    • Action execution flows top-down
  • 5. Technologies
    • Smart devices and embedded systems
      • Sensors,controllers
    • Wireless mobile communications
      • Wireless LANs, ad hoc sensor network
    • Computing paradigms
      • Distributed,grid computing
    • Middleware
  • 6. Role of physical components in smart environments
    • Physical components such as
      • Sensors and controllers
    • Smart environment as an intelligent agent
  • 7. Sensors for smart environment
  • 8. Intelligent spoon and interactive tea kettle
    • Temperature,viscosity,time
  • 9. Pervasive computing and middleware issues
    • Pervasive or ubiquitous computing
      • Where you want
      • When you want
      • What you want
      • How you want
  • 10. Major challenges in pervasive computing
    • Invisibility and Unawareness
    • Service discovery
    • Interoperability and Heterogeneity
    • Mobility
    • Privacy and security
  • 11. Location-aware services
    • Context (location and activity) awareness
      • Current activity state of the user
      • The characteristics of their environment
    • Mobility and activity creat an uncertainty of their state
      • Minimize this uncertainty as captured by Shannon’s entropy measure
  • 12. Mobility / activity tracking
    • Predict future mobility and actions
      • Reduce the location uncertainty
      • Minimizes the entropy
      • Help device automation and efficient resource management
    • Single and multiple inhabitant
  • 13. Natural interfaces for smart environments
    • Designers need to consider
      • Usability of the interface
      • End-user friendly
      • The adaptiveness of the interface
  • 14. The gesture recognition
  • 15. Facial expression recognition
    • When the driver is sleepy
  • 16. Inhabitant modeling
    • Base on three characteristics
      • The data that are used to build the model
      • The type of model that is built
      • The nature of the model-building algorithm
  • 17. Health monitoring and assistance
    • Annual rate of change by age range
  • 18. Goals of environmental assistive technology
  • 19. Assurance,support,assessment
    • Making sure the individual is safe and performing routine activities
    • Helping individual compensate for impairment
    • Determining physical or cognitive status
  • 20. Conclusions and ongoing challenges
    • Multiple inhabitants in a single environment
    • The fusion of different type environment
    • Security and privacy