"Combinando NFC y Datos en la Etiqueta RFID para Apoyar AAL" presentada por Diego López de Ipiña


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Combinando NFC y Datos en la Etiqueta RFID para Apoyar AAL
Diego López de Ipiña, Ignacio Díaz-de-Sarralde y José Bravo
Sesión "Aplicaciones médicas y asistivas de RFID"

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"Combinando NFC y Datos en la Etiqueta RFID para Apoyar AAL" presentada por Diego López de Ipiña

  1. 1. Twitting Care Events: Assessing the Data-on-Tag approach in NFC-supported AAL<br />Diego López-de-Ipiña+, Ignacio Díaz-de-Sarralde+, and José Bravo*<br />+Facultad de Ingeniería & Tecnológico Fundación Deusto, Universidad de Deusto,<br />Avda. Universidades 24, 48007, Bilbao, SPAIN<br />*MAmIResearchLab, Universidad de Castilla La Mancha, <br />Ciudad Real, SPAIN<br />{dipina, isarralde}@deusto.es, Jose.Bravo@uclm.es<br />
  2. 2. Contents<br />Introduction<br />Objectives & Features<br />Related Work<br />RFID tags as portable databases<br />An NFC-supported platform <br />Posting AAL care logs to Twitter<br />Conclusion<br />
  3. 3. Introduction<br />Technology:<br />RFID is mainly used to uniquely identify objects<br />However, passive HF RFID tags allow significant data storage (up to 4K)<br />RFID technology is proving as a key enabler of Internet of Things (IoT) <br />The RFID data-on-tag approach makes immediate access to touched or pointed object’s<br />Domain:<br />AAL aims to increase our quality of life and autonomy and to reduce the need for being institutionalised or aiding it when it happens<br />Elderly care centres are challenging environments from the data gathering and publishing perspective. <br />Solution: <br />NFC technology + RFID data on tag in order to gather lifelogs of residents and publish them BOTH on the intranet and Internet<br />
  4. 4. Objectives<br />This work has a two-fold objective:<br />Experimental: Evaluate how much data can actually be stored in HF RFID tags<br />Practical: Combine the RFID data-on-tag approach with NFC to improve data management in a care centre, where:<br />RFID tags can serve as temporary repositories of care events<br />Interactions between residents’ RFID wristbands and staff’s NFC mobiles can improve care data management and keep relatives up-to-date<br />
  5. 5. Related Work<br />NFC technology operating on 13.56MHz combines the functionality of a RFID reader device and a RFID transponder into one integrated circuit<br />NFC read/write mode allows NFC devices to access data from an object with an embedded RFID tag<br />The combination of NFC technology and RFID tags has been used in the last few years in several research projects related to medicine and caretaking <br />However, so far RFID applications have not incorporated custom data directly onto RFID tags <br />Still prevails a generic lack of standardization, only alleviated by initiatives such as the Continua Health Alliance <br />
  6. 6. CareTwitter Features<br />Supports caretaker on structured patient data recollection and storage<br />Allows collected data to be used efficiently<br />By enabling easy and clean data writing and reading of RFID tags with NFC phones<br />By relying patient activity to relatives via Twitter<br />Research novel RFID applications in daily use<br />Uses HF RFID tags as embeddable and portable DB<br />Proposes optimal data encoding and compression<br />
  7. 7. RFID Tags as Portable Databases<br />The NFC Forum specifies a data-packaging format called NDEF (NFC Data Exchange Format) to exchange information between an NFC device and another NFC device or an NFC tag<br />Evaluation of HF RFID tags as tools to store data:<br />Select a set of easily wearable tags (ISO 15693-compatible) with as much storage capacity as possible and still compatible with NFC<br />Identify the maximum number of useful bytes storable in the selected tags<br />Develop a new efficient mechanism to store data on HF RFID tags<br />7<br />
  8. 8. Storage Capabilities of a 4K Mifare Watch<br />
  9. 9. Efficient Recording of Data in HF RFID Tags<br />Analysing evaluating data, it was decided that only one record NDEF messages should be used<br />No standard on the data structures used by care centres to keep data on their interns was found<br />Therefore, we have developed our data structures and encoding mechanisms:<br />A Range Encoding Compression of previously encoded and serialized messages is proposed. <br />
  10. 10. A Platform to Enhance Care Data Management<br />Caretaking is a suitable domain for combining NFC technology and the RFID data-on-tag approach in order to enhance the data gathering process<br />Elderly people are looked after at different domains (elderly people’s homes or their families’, the residence itself) and by different people (relatives or residence staff), making very difficult to reconcile the information gathered<br />Some issues:<br />Residents do not always stay and sleep at the care centre<br />Data capture is not highly prioritised<br />IT support at care centres and family homes is diverse<br />
  11. 11. Analysis of Data Collected in Caretaking<br />
  12. 12. An NFC-supported Platform<br /><ul><li>Features:
  13. 13. Assists the caretaker in the data gathering process
  14. 14. Allows for anywhere at any time multi-user gathering of data
  15. 15. Allows for asynchronous care data reporting
  16. 16. Integrated components</li></li></ul><li>CareTwitter Mobile Client<br />
  17. 17. CareTwitter proposes a special purpose compressed serialization method in order to maximize the usage of HF RFID tags’ storage:<br />Stringified – human readable string. E.g. 2009/10/08T09:57:00:35609912 @Home:Woke Up<br />Encoded – transformation of a stringified care log into a more optimal representation. E.g. 35609912#2##1254988620907#4<br />Serialized encoded – it is a byte representation of a care log<br />Compressed serialized encoded – applies to it the Range Encoding compression algorithm <br />CareTwitter Care Log Encoding<br />
  18. 18. Care Data Encoding Classes<br />
  19. 19. CareTwitter Care Log Encoding<br />
  20. 20. Populating Twitter with Care Logs<br />The CareTwitter AAL platform does not only keep custom data to enhance the daily activities in a care centre but ...<br />It also exports part of that data to the external Twitter micro-blogging service from which relatives and friends can follow the lifelog of residents<br />
  21. 21. CareTwitter @ Work<br />
  22. 22. Conclusion<br />CareTwitter stores a log for every new care procedure applied on the resident’s RFID wristband, following a data-on-tag approach<br />It uses RFID tags as mini databases<br />CareTwitter makes data stay at any time with the resident and be available in real-time and without relying on wireless links <br />Our experiments show that the storage capacity of 1K (wristband) or 4K (watch) Mifare RFID tags, aided by CareTwitter’s custom-built compressed serialized encoded data serialization format, is sufficient for storing the care logs of a whole day<br />The integration of CareTwitter with Twitter proves the high potential of using interactions with everyday objects or people to automatically publish data into Internet<br />In this case, the lifelog of a resident is available to authorized users<br />