RFID and Autoidentification

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Dave Parry
AURA Lab, Auckland University of Technology
http://elena.aut.ac.nz/homepages/aura_rfid/
(30/09/09, MHealth Workshop, 12.15)

Published in: Health & Medicine
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RFID and Autoidentification

  1. 1. RFID and Autoidentification Dave Parry Director AUT RFID (AURA) laboratory [email_address] http://elena.aut.ac.nz/homepages/aura_rfid/
  2. 2. Agenda <ul><li>What is RFID/Autoidentification ? </li></ul><ul><li>Use in healthcare </li></ul><ul><li>Use for supporting the visually impaired </li></ul>
  3. 3. R adio F requency Id entification RFID <ul><li>Introduced in World War II. </li></ul><ul><li>Involves interrogation – reply sequence. </li></ul><ul><li>Low power. </li></ul><ul><li>Unlike Barcode – no line of sight required </li></ul>
  4. 4. Passive RFID Action RFID tag RFID Interrogator 1. Interrogator sends RF pulse 2. Tag picks up pulse, energises chip 4. Interrogator interprets data 3. Data from chip, broadcast back
  5. 5. Types of Tag   Radio Frequency used Tag Class EPC – electronic product code - www.epcglobalinc.org/ EPC Device Class Definition Programming Class 0 “ read only” passive tags Programmed by the manufacturer Class 1 “ write-once, read-many” passive tags Programmed by the customer, can’t be reprogrammed Class 2 Rewritable passive tags Reprogrammable Class 3 Semi-passive tags Reprogrammable Class 4 Active tags Reprogrammable Band Unlicensed Frequency Reading Range LF 125-134.2 KHz <0.5 meter HF 14.56 MHz ~ 1 meter UHF 865.5-867.6 MHz (Europe) 915 MHz (US) ~ 4 to 5 meters Microwave 2.4 GHz ~1 meter
  6. 6. The RFID Niche Cost Intelligence Mobile phones SunSpots, Motes Laptops PDA’s RFID
  7. 7. Autoidentification <ul><li>Self-describing objects </li></ul><ul><li>Linking digital to physical worlds </li></ul><ul><li>Can use RFID but also Barcodes. Bluetooth Zygbee etc. </li></ul>
  8. 8. RFID in healthcare <ul><li>Patient and equipment tracking </li></ul><ul><li>Cold chain for Pharmaceuticals (DHL) </li></ul><ul><li>Anti –smoking </li></ul><ul><li>Anti –counterfeiting </li></ul><ul><li>Home support </li></ul>
  9. 9. Mhealth RFID <ul><li>Linking RFID to mobile devices </li></ul><ul><li>As a low cost information storage device. </li></ul><ul><li>Can embed URL’s in tags to link from physical world to the web </li></ul>
  10. 10. Near Field Communications(NFC) <ul><li>Identified as a means of payment </li></ul>
  11. 11. “ Intelligent bag” <ul><li>The intelligent bag “knows” what is inside it, and what isn’t- and should be. </li></ul><ul><li>Uses a set of RFID labelled objects, along with an RFID labelled bag </li></ul><ul><li>Database driven </li></ul>
  12. 12. Sequence of actions Turn system on Use tag to choose function Return to waiting state Perform function System User Text to speech Present tagged objects
  13. 13. “ Where are my glasses ?” <ul><li>Short term memory loss common in the elderly (20-25%) </li></ul><ul><li>Aging in place and assisting people with the activities of daily living are becoming increasingly important </li></ul><ul><li>Other groups – such as those with acquired brain injury (ABI) also need support </li></ul>
  14. 14. Solution requirements <ul><li>Provide a means of locating objects in the home. </li></ul><ul><li>Unobtrusive and acceptable. </li></ul><ul><li>Usable by older people and those with reduced vision. </li></ul><ul><li>Cheap and useful. </li></ul><ul><li>Supports information flow – activity measurement as a by-product ! </li></ul>
  15. 15. Representing location
  16. 16. Principles <ul><li>Put the detector on the person </li></ul><ul><ul><li>Then you just need one, and the interface is ubiquitous </li></ul></ul><ul><ul><li>For privacy you can turn it off </li></ul></ul><ul><li>Change tag density as needed </li></ul><ul><li>Convert the data stream to “higher level” information. </li></ul><ul><li>Add information to the tags as needed </li></ul><ul><li>No unnecessary infrastructure </li></ul>
  17. 17. Movement recording
  18. 18. Other applications <ul><li>Characterisation of behaviour </li></ul><ul><ul><li>Are people moving ? </li></ul></ul><ul><ul><li>What are they doing ? </li></ul></ul><ul><ul><li>Are they well ? </li></ul></ul><ul><li>Interventions to change behaviour </li></ul><ul><ul><li>More exercise ? </li></ul></ul><ul><ul><li>Reminders </li></ul></ul><ul><li>Assistance for blind/partially sighted </li></ul><ul><li>Hazardous environments and fire </li></ul>
  19. 19. Possible uses <ul><li>Activity monitoring and energy expenditure </li></ul><ul><li>Compliance with therapy and rehabilitation </li></ul><ul><li>Early warning of decline in health status </li></ul><ul><li>Acute warnings – lack of movement etc. </li></ul><ul><li>Automated “aide memoir” </li></ul><ul><li>Not just for the elderly </li></ul>
  20. 20. Challenges & Extensions <ul><li>User interface design </li></ul><ul><li>Size of the reader </li></ul><ul><li>Tag placement </li></ul><ul><li>Infer activity from location movement and objects present (Motifs) </li></ul><ul><li>“ In kitchen, with cup and kettle, move to fridge, making a cup of tea” </li></ul><ul><li>Communication of this information.. </li></ul>
  21. 21. Conclusions <ul><li>RFID is a relatively mature technology, but cost and acceptability issues remain. </li></ul><ul><li>There are a wide range of application and research areas available. </li></ul><ul><li>Growth in this sector seems set to continue </li></ul>

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