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Smart Homes

Smart Homes. Spring 2005 Computational Intelligence Seminar Series Presented by Kevin Harris. Outline. Displaying a need: US demographic trends Smart Homes Goals, Vocabulary, Technology, Challenges, & Functions

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Smart Homes

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  1. Smart Homes Spring 2005 Computational Intelligence Seminar Series Presented by Kevin Harris

  2. Outline • Displaying a need: US demographic trends • Smart Homes • Goals, Vocabulary, Technology, Challenges, & Functions • Paper: The Smart House for Older Persons and Persons With Physical Disabilities: Structure, Technology, Arrangements, and Perspectives • Project Websites

  3. In 2000, age 65+ 35.0 million people 53% 65-74 35% 75-84 12% 85+ 20.6 million women 14.4 million men 28% lived alone in households Displaying a need: US demographic trends

  4. Displaying a need: US demographic trends

  5. Displaying a need: US demographic trends • The elderly population will more than double between now and the year 2050, to 80 million. • About 1 in 5 US citizens (18.5%) will be elderly by 2030 • Between 1990 and 2020, the population age 65 to 74 is estimated to grow 74 percent, while the population under age 65 will increase only 24 percent. • Most of this growth should occur between 2010 and 2030, when the "baby boom" generation enters their elderly years. During that period, the number of elderly will grow by an average of 2.8 percent annually.

  6. Displaying a need: US demographic trends • The population 65 and over reported more disabilities: Self care, physical, sensory • Individuals older than 65 have four times the medical costs of younger Americans • Employee base working and paying taxes to finance Medicare is eroding: in 1980, 4.1 workers per beneficiary, in 2030, only 2.3:1 • Net cash flow of the Medicare Hospital Insurance Trust Fund is expected to go into a deficit in 2016 • Missouri is one of the twelve states withthe highest elderly population proportion (14% or more)

  7. Smart Homes • Automated homes, Domotics, Networked Homes, Intelligent homes • Electrical devices used in the home to enhance the quality of life by providing more control over the user’s environment • Monitor Activities • Behavioral aspects • Design Considerations

  8. Smart Home Goals • Contribute to a better quality of life by increasing self control, self esteem, and enabling self-fulfillment • Allow the elderly to remain independent in the home or age in place by making everyday life easier • Allow the home to adapt to the functional capabilities of the user • Use health monitoring for prevention and early intervention • Increase the efficiency of care services through the use of technology to provide care to people within their local environment • Improve social environment

  9. Types of Smart Houses • Smart house for: • People with movement disabilities • Older persons • People with low vision • Hearing impaired people • Cognitively impaired people • General population

  10. Smart Home Vocabulary • Assistive Technology • Bus System • Communication Protocols • Dependability • Plug and Play • Telemedicine • Telecare • Warden Call Systems

  11. Smart Home Technology • Four main types • Mains Born: X10 and Powerline • Busline: Konnex (formerly EIB, BatiBus, EHS) or LonWorks • Radio Frequency: Bluetooth (wireless) • Infrared: Various (wireless)

  12. Smart Home Technology • Challenges • Most systems have closed architectures • Most systems are supported by one manufacturer • A lack of standards for communication and interoperability to allow for plug and play • Creating a modular system that makes it easy to add/remove components, maintain, and update • Privacy and Security

  13. Smart Home Functions • Devices for automation and control of the home environment • Devices for health monitoring of important vital parameters • Devices for information exchange • Assistive devices • Leisure devices

  14. Control of systems Emergency help Temperature monitoring/ ventilation control Water and energy use Automatic lighting Door surveillance Cooker safety Property security Communications Water temperature control Window, blind, and curtain control On-line links ET and Edu services Cleaning functions Memory joggers/reminders Diary facility Lifestyle monitoring Medical monitoring Smart Home Functions

  15. SmartHome Technology • Video Monitoring • Health Monitors • Pulse, skin temperature, blood pressure, respiration, movement, gait, weight, posture, gestures • Fall Detectors • Tunstall • Tele-alarm • Pressure Mats • Motion Detectors

  16. Requirements of sensors • Noninvasive • Convenient to install, wear, and to use • No vibrations, noise, or light signaling during measurement • High reliability and long life • Wireless signal transmission • Automatic measurement

  17. Project Websites • University of Rochester, Center for Future Health http://www.futurehealth.rochester.edu/smart_home/ • The University of Florida, Gator-Tech Smart House http://www.rerc.ufl.edu/ • University of Virginia MARC Smarthouse http://smarthouse.med.virginia.edu • Georgia Institute of Technology, The Aware Home http://www.cc.gatech.edu/fce/ahri/ • Massachusetts Institute of Technology, House n http://architecture.mit.edu/house_n/

  18. Center for Future Health • University of Rochester • Pre-concept testing, concept testing, pilots, and prototype testing • Using infrared sensors, computers, biosensors, and video cameras in 5 rooms • Measurement of traditional vital signs (blood pressure, pulse, respiration) • Measurement of "new vital signs", such as gait, behavior patterns, sleep patterns, general exercise, rehabilitation exercises, and more

  19. Gator-Tech Smart House • The University of Florida • Focus is on older people with disabilities • Developing communications, home monitoring, and "smart" technology for older persons • Sensors embedded in the wall and floor • Smart phone that will allow residents to give commands to the house • RFIDs in food packaging • Computers with video teleconferencing capability

  20. The Aware Home • Georgia Institute of Technology • Senior adults • Project focus on social communication, memory aids, everyday home assistants, and activity recognition • The “Gesture Pendant” recognizes, and then translates gestures into commands for home appliances • Three story 5040 sq ft home that functions as a living laboratory

  21. House_n • Massachusetts Institute of Technology • The Changing Places/House_n Consortium has designed a unique “living laboratory” called the PlaceLab • Develop innovative user interface applications that help people easily control their environment, save resources, remain mentally and physically active, and stay healthy

  22. Sensor network Environmental sensing State sensors Location beacons Audio sensing Wearable biometric and motion sensors. Addressable lighting Environmental control Still image and video capture Context-aware experience sampling Activity recognition algorithms Image-based experience sampling Audio communication House_n Projects

  23. The End Comments or questions?

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