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Minimally Invasive Gathering of Body Context Information from Garment Interactions

Minimally Invasive Gathering of Body Context Information from Garment Interactions. Sarah Brady, Dermot Diamond National Centre for Sensor Research, Dublin City University. Lucy Dunne, Barry Smyth Smart Media Institute, University College Dublin. Wearable Sensing.

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Minimally Invasive Gathering of Body Context Information from Garment Interactions

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  1. Minimally Invasive Gathering of Body Context Information from Garment Interactions Sarah Brady, Dermot Diamond National Centre for Sensor Research, Dublin City University Lucy Dunne, Barry Smyth Smart Media Institute, University College Dublin

  2. Wearable Sensing • Sensor-based user monitoring for Context awareness • Awareness of: user’s physiological state, environment, social setting • Reduces cognitive load of wearable technology • Minimizes necessary amount of integrated technology • Garment Integration • Minimally invasive sensing (vs. standard body sensing technologies) • Minimizes degree of adaptation required by user • Maximizes user comfort (physical, social)

  3. Data Extraction from Garment Interactions • Exploiting natural movements, garment features, and textile structures to obtain information • Detection of physical interactions between body and garment • Using garment/textile as sensor • Intelligent textiles, monitoring of textile changes • Minimizing foreign concepts/components • Eases user acceptance of innovation

  4. Pressure-Sensitive Foam • Polyurethane foam, coated with conductive polypyrrole polymer • Pressure results in detectable increase in conductance • Soft, washable sensor • Foam substrate allows detection of deformations of the structure: bends and compressive forces • Does not rely on extension of fabric

  5. Garment Layout 2 layer garment: easy integration of additional sensor locations Removable sensors/ circuits

  6. Breathing Monitor 20% difference in relative resistance

  7. Shoulder Movement 100% difference in relative resistance

  8. Neck Movement/Posture Extension: 80% difference in relative resistance Flexion: 30% difference in relative resistance

  9. Shoulder Blade Pressure 60% difference in relative resistance

  10. Problems • Sensor baseline drift: 26.6% of total resistance per minute, due to hysteresis in foam substrate (after 2 hr relax period resistance returns to “normal”) • Sensor oxidation: gradual reduction in resistance over time due to oxidation of polymeric backbone • Precision of sensor: presence of noise

  11. Future Directions • Wireless sensor networks • Integration of pressure sensors into Mote networks

  12. Future Directions • Activity monitoring • Coarse detection of arm position

  13. Future Directions • Sensitive Sock for Neuropathy

  14. Future Directions • Integration of additional sensor types • Contextual information from multiple sources • Agent-based collaboration between wireless sensor nodes • Determination of noise vs. signal

  15. Questions? (the end)

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