Microsoft Research Faculty Summit 2007

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  • 08/06/10 15:23 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 08/06/10 15:23 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 08/06/10 15:23 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 08/06/10 15:23 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Transcript

  • 1. Microsoft Research Faculty Summit 2007
  • 2. John A. Stankovic BP America Professor, UVA Microsoft Corporation
  • 3.
    • Problems of interest
    • Univ. of Virginia AlarmNet
    • Microsoft interactions
      • HealthGear
      • SensorMap
    • Summary
  • 4.
    • Home health care
  • 5.  
  • 6.
    • Home health care
    • (Large scale) assisted living facilities
  • 7.  
  • 8.
    • Home health care
    • (Large scale) assisted living facilities
    • Flexible targeting of care to a person’s health condition
    • Longitudinal studies
  • 9.
    • A ssisted L iving a nd R esidential M onitoring Net work
  • 10. Internet Internet Nurses Stations
  • 11. With Harvard
  • 12. With Harvard
  • 13. With MARC UVA Medical School
  • 14. * With the Univ. of Illinois
  • 15.
    • Activity of daily living classification
      • Five two-axis accelerometer network for classifying activities with a HMM
  • 16. Internet Internet PDAs Nurses Stations Dust Light Pollen Humidity Temperature Motion Activities
  • 17. Internet Internet Nurses Stations Privacy Security
  • 18.
    • Patients
    • Patients family and friends
    • Doctor – what advantages for them in treating patients
    • Nurse
    • Technician
    • Orderly
    • Admin
    • Social Worker
  • 19.
    • Personal medical data
    • Personal activity data
    • Environmental data
    • Contextual data
    • Longitudinal data
    • System Performance data
  • 20. Real- Time
  • 21. Internet Internet Privacy Security Internet Nurses Stations
  • 22. AlarmGate SW on stargate DB
  • 23.  
  • 24. Internet Internet Privacy Security Nurses Stations
  • 25. Circadian activity rhythm per room for 70 days
  • 26. Life Habits at-home Learning period Diurnal/nocturnal activity
  • 27.
    • Support for heterogeneous health care systems
      • Utilize Cell phones
      • BlueGate, WiGate, EtherGate
      • Unobtrusive body networks
    • Behavior based systems management
      • Exploiting circadian activity rhythms
  • 28. AlarmNet HealthGear Bluetooth IEEE 802.15.4 WiFi, Ethernet Alarms Any Data Blood Pressure Sensor, ECG, … WiGate Gateway PC, DB, AlarmNet Backend Pulse Oximeter Smart phone BlueGate Gateway POGA StarGate Gateway EtherGate Gateway SeeMote
  • 29. Bluetooth IEEE 802.15.4 AlarmNet HealthGear WiFi, Ethernet SeeMote WiGate BlueGate Pulse Oximeter Smart phone Motion, Light BP Scale Tripwire Pulse, SpO2 Dust ECG Switch Environmental
  • 30.
    • BlueGate
      • Bluetooth to MICAz, 802.15.4, 2.4GHzRF
      • Bluetooth to MICA2, 4xx/9xx MHz RF
    • WiGate
      • 802.15.4 to WiFi (802.11b/g)
    • EtherGate
      • 802.15.4 to wired Ethernet with POE
    • NordGate
      • Nordic RF (ECO mote, Poga2) to 802.15.4 and/or Bluetooth
  • 31.
    • Classify and detect ADLs - accelerometer
    • Two versions
      • Tmote-Mini based – 802.15.4 compatible (designed/built)
        • Fast design time using Tmote module
        • TinyOS compatible
        • PHY-compatible with ZigBee
      • Nordic RF chip based ( future work )
        • Smaller form factor/cost (expected 10x20mm w/o battery)
    RF, MCU, Accl. Li Ion Battery Antenna Main board
  • 32. Base Station Sensor network Backbone Activity pattern inference Through Circadian Activity Analysis Detection of irregular behaviors and anomalies Alerts and Messages for the caregivers Motion sensors Other Sensors Detection of multiple people Context Aware Power Management (CAPM) User Identification
  • 33.  
  • 34.
    • Publishing and searching private data streams
      • Privacy guarantees
        • Anonymous aggregates
      • Quality control for search results
        • Rank real-time/archived sensor data search results
  • 35.
    • AlarmNet
      • Privileged applications
      • One administrative domain
    • MetroNet
      • Public information
      • Many administrative domains
    • Must support
      • Privacy
      • Mobility
      • Data annotation
  • 36.
    • Rank data streams like PageRank algorithm ranks web pages
      • All data need not be at central databases
    • Aggregated streams created by users – can be ranked
  • 37.
    • Microsoft
    • Univ. of Virginia Medical School
    • Harvard: (some) body networks
    • Johns Hopkins: Triage mote
    • Univ. of Illinois: Smart clothing
    http://www.cs.virginia.edu/wsn/medical/
  • 38. © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.