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WP3 Physiological feedback

WP3 Physiological feedback. April 28 th 2009. WP3 Physiological feedback.

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WP3 Physiological feedback

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  1. WP3 Physiological feedback April 28th 2009

  2. WP3 Physiological feedback 3.1 Identify performance factors (Sarah Huges)3.2 System design & implementation (Richy Tynan)3.3 Sweat patch integration (Shirley Coyle)3.4 Deployment & data gathering (Greg May)3.5 Real-time querying (Ken Conroy)3.6 Visualisation & feedback (Hyowon Lee)

  3. Physiological Monitoring Key Areas • Monitoring heart rate and respiratory rate • Link physiology to events (video) • Evaluate training methods • Individualisation of training programmes • Compare responses on different surfaces • Hard court vs. clay court • Hydration – sweat rate and composition • Tracking limb movements during execution of strokes

  4. Physiological Monitoring Heart Rate & Respiratory Rate • Between points (recovery) and in preparation for a serve • Average across sets • Rate of change • % of max • Ability to link HR/RR to video (time code physiological responses to events) • Tidal volume?

  5. Urgent Requests – Tennis Coach • A user-friendly interface with drawing tools (e.g. draw lines/circles etc.), and a split-screen with the ability to slow down and pause. • Meet with CLARITY to find out what software is currently available • Watch/monitor to display HR/RR in real time • Possibility of using the FM software on his iphone • Update on developments in relation to the development of targets that can be placed in various areas of the court and when the ball hits the target a sound is generated etc. • Like to collect information during real (competitive) games - the anxiety/stress levels differ during training and competition • Possibility of access to FM vest for an upcoming tourament • Physiological monitoring (PM) becomes important when > 14 yrs • To date monitoring has been too time consuming and interrupts training routines – need for plug and play innocuous monitoring • Explore the possibility of a jumpsuit-type garment with accelerometers built into each of the joints that can track limb movement during the execution of a stroke etc.

  6. Plans Immediate Future • Monitor HR (Holter) and RR during competitive hard court and clay court games • Linking physiological and ubisense/video data • Measure pH and sweat rate?

  7. pH sensor Issues with current design for tennis demonstrator: Integration with other technologies, FM vests, motes Long “priming” time - Need to reduce amount of sample needed – microfluidic device For 1st demonstrator - Develop a visual display, wristband/headband using pH dyes to measure pH – no additional microprocessors/wireless devices needed - Visible to the player, coach and possible video analysis

  8. pH wristband/barcode 6 pH = 2 4 DYNAMIC PROCESS 2 pH = 13 Visual Display relating to pH Could be integrated into straps for WIMUs

  9. pH barcode PERFORMANCE

  10. pH barcode PERFORMANCE

  11. pH sensor development 25mm 7mm BIOTEX pH sensor

  12. pH sensor - Microfluidics Lilypad Arduino - control LEDs and data transfer Microfluidic pH sensor with paired LED detection Pump Less Wearable Microfluidic Device for Real Time pH Sweat Monitoring F. Benito-Lopez, S. Coyle, R. Byrne, Alan Smeaton, Noel O'Connor, D. Diamond submitted to Eurosensors 2009

  13. Ubisense Querying Update 28 April 2009

  14. User Requirements The Relationship between User Requirements and Data Harvesting User Interface High-level requirements Sensed Data Analysis Transformation Processing System Database

  15. Processing Enrichment of Ubisense Structural Player ID, (x,y,z), Timestamp Semantic Zonal information Side Number of entries “change side” states

  16. Analysis Addressing User defined queries With high->low-level query transformation Requirements -> logic -> xPath/Java Translations in progress Detect Serve Server Location Time Notate Game boundaries Construction of knowledge base

  17. Next Steps • Build version 1 of UbiSense analysis • Addressing 25% of user queries • Currently one manual step required • Paper submission planned for 15th May (DMSN) • Focus on making system fully automated • Collaborate with Damien to compare results using different techniques • Implement further queries • Velocity • Point Boundaries

  18. Some HCI Issues Role of Human-Computer Interaction in Tennis Demo? - Design fancy User-Interfaces for the Demonstrators

  19. Some HCI Issues • 1. Fulfilling Coach’s Wishlist… • … Is this enough? • 2. Target Interaction Platforms • - Novel scenarios coupled with new platforms

  20. 1. Fulfilling Coach’s Wishlist • Conventional Software Development Lifecycle • 1. Establishing Requirements, but… • Novel Technology Development Lifecycle • - No precedence of use • - No cultural readiness • “End-user is not always right” • - End-users don’t know technical possibilities • - We (technology people) know • - Innovation doesn’t happen by asking end-users • Separate agenda/item to highlight novel possibilities to coaches

  21. 2. Target Interaction Platform • Novel platforms for Novel technology? • - Consider near-future scenarios, not now • Web 2.0 (Desktop PC, Laptop) • Mobile • Interactive TV • TableTop • Large display Wall • Wearable • => Each provides different interaction possibilities • => Each brings about new possible scenarios

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