WP3 Physiological feedback

UNIVERSITY COLLEGE DUBLIN DUBLIN CITY UNIVERSITY TYNDALL NATIONAL INSTITUTE

WP3 Physiological feedback

April 28th 2009


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)


– 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

Physiological MonitoringPhysiological Monitoring

Key AreasKey Areas


– 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?

Physiological MonitoringPhysiological Monitoring

Heart Rate & Respiratory RateHeart Rate & Respiratory Rate


1. 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.

2. Meet with CLARITY to find out what software is currently available

3. Watch/monitor to display HR/RR in real time

4. Possibility of using the FM software on his iphone

5. 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.

6. Like to collect information during real (competitive) games - the anxiety/stress levels differ during training and competition

7. Possibility of access to FM vest for an upcoming tourament8. Physiological monitoring (PM) becomes important when > 14 yrs 9. To date monitoring has been too time consuming and interrupts training

routines – need for plug and play innocuous monitoring10.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.

Urgent Requests – Tennis CoachUrgent Requests – Tennis Coach


– Monitor HR (Holter) and RR during competitive hard court and clay court games

– Linking physiological and ubisense/video data– Measure pH and sweat rate?

PlansPlans

Immediate FutureImmediate Future


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


pH wristband/barcode

Visual Display relating to pH

2

6

4

pH = 2

pH = 13

DYNAMICPROCESS

Could be integrated into straps for WIMUs


pH barcodePERFORMANCE


pH sensor development

Absorbent

pH sensor

Silicone gasket

Blue polyurethane layer pH sensor

BIOTEX pH sensor

7mm

25mm


pH sensor - Microfluidics

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

Microfluidic pH sensor with paired LED detection

Lilypad Arduino - control LEDs and data transfer


Ubisense Querying Update

28 April 2009


User Requirements• The Relationship between User Requirements and Data Harvesting

High-level requirements

SensedData

SystemDatabase

Processing

Analysis Transformation

User Interface


Processing

• Enrichment of Ubisense

• Structural– Player ID, (x,y,z), Timestamp

• Semantic– Zonal information– Side– Number of entries– “change side” states


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


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


Some HCI Issues

• Role of Human-Computer Interaction in Tennis Demo?– - Design fancy User-Interfaces for the

Demonstrators


Some HCI Issues

•1. Fulfilling Coach’s Wishlist… – … Is this enough?

•2. Target Interaction Platforms– - Novel scenarios coupled with new platforms –


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


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

WP3 Physiological feedback

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