Open Lecture Aarnout Brombacher - July 18, 2016
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Transcript of Open Lecture Aarnout Brombacher - July 18, 2016
18-Jun-12 (‹#›)/department Industrial Design
Quantified Self; improving health and vitality for recreational sporters using Big Data
Prof.dr.ir. A.C. (Aarnout) Brombacher Eindhoven University of Technology
– (Top)Sports can have a huge impact on national branding/reputation
– Sports/leading a healthy lifestyle can have a huge impact on health and vitality of large parts of the population
• Therefore sports can have a large impact on the national economy
• The field, however, is largely scattered…
The “double challenge”
• Develop a national research and innovation agenda for sports– Topsports– Vitality
• Do this together with sports/sporters, knowledge institutes, industry and public sector
• Increase mass, focus and yield of related knowledge (development) and innovation
• Develop an open network
photo: Peter van Aalst, Keerpuntanalyse in InnoSportLab De Tongelreep
Assignment
• Harry van Dorenmalen (chair), IBM• Martin Olde Weghuis, Ten Cate • Bas van Rens, Mylaps• Maurits Hendriks, NOC*NSF• Aarnout Brombacher, TU Eindhoven• Geri Bonhof, Sia-Raak• Eric van der Burg, Amsterdam• Antoinette Laan, Rotterdam/NISB• Bart Zijlstra, VWS
Supported by relevant government agencies (ZonMw, STW, NISB, VWS)
Topteam Sport
• Define Status Quo– National and International literature– Already existing initiatives* – Consult experts
• Build a team• Develop a joint Roadmap
*Sectorplan sportonderzoek, InnoSportNL, Sports & Technology, Business in Sport, Rapportage Sport, Sport in Beeld, Onderzoeksprogramma Sport, …
Approach
• Sport at Universities • Institutes• Research groups
Status Quo
• Sport at Universities of Applied Sciences
• Modern, health and sports related, ICT systems have the ability to gather real-time data from the human body on a 24/7 basis*. This can help to:– better understand relations between peoples vitality and
their behavioral patterns in daily life (including but not restricted to sports)
– better understand relations between actual sports achievements and activity patterns before, during and after sports
Example: Sports Data Valley
*Of course taking into account important issues such as privacy. The participation rate forthis type of research for sporters, however, is exceptionally large!
• Capture, process and store the data in a manner that allows meaningful combination with this and other data already existing in (bio-)informatics
• Transform the data into, for the sporter/coach/user/patient, meaningful information and models (statistics, data-mining, process-mining, pattern recognition and visualization techniques)
• Use this data to design fundamentally new value propositions that offer appealing low-threshold handles to take control of their own body using the above information
Process currently being implemented
• Centers, projects and ideas have been proposed
• The orchestration team is starting• Sports Data Valley is being set-up• A lots needs to be done but everybody is
eager to go!
Current status
18-Jun-12 (‹#›)/department Industrial Design
People, Sports and Vitality
a challenge and an opportunity!
Prof.dr.ir. A.C. (Aarnout) Brombacher Eindhoven University of Technology
18-Jun-12 (‹#›)/department Industrial Design
• TU/e research program
• Sponsored by TU/e board under the Impulse 1 program “Mine your own Body”
• 6 participating faculties (B, EE, ID, IE&IS, W&I, BMT)
• Close collaboration with several key-partners outside TU/e
• Fontys, University of Utrecht,
Research program People, Sports and Vitality
18-Jun-12 (‹#›)/department Industrial Design
• Measuring lifestyle/behavior in the field is (/was up to very recent) incredibly difficult. • You can not put people for longer time in labs
(fortunately…) • Tracing actual behavior in the field creates
several major problems • Technically (what do you measure, how do you
gather and process the information, how to create meaning)
• Legally • Ethically
Bottleneck: what is happening in the field
18-Jun-12 (‹#›)/department Industrial Design
• Two groups of people form a clear exception with respect to analyzing behavior in the field
• Sporters who want to have support to sport in a responsible manner and/or improve their performance
• People who want to adopt a healthier lifestyle as part of a recovery process after regular (medically supervised) therapy has ended
• These are our main target groups
Ethical/legal problems
18-Jun-12 (‹#›)/department Industrial Design
• Can we create new concepts/propositions that make sports/activities an attractive part of everyday life
• Can we create new concepts/propositions where technology creates added value for the sporters (/coaches) involved
• Can we validate these propositions in context
Key research questions
18-Jun-12 (‹#›)/department Industrial Design
Building and Architecture • Bert Blocken (wind climate and aerodynamics) • Pieter vd Wesemael (healthy cities)
Computer Science and Mathematics • Wil vd Aalst (process mining, bodily data)
Electrical Engineering • Peter de With (analysis of sports-video data) • Peter Balthus (sensors/actuators)
Industrial Design • Aarnout Brombacher ((on/near-body) field data acquisition, analysis and
design) • Loe Feijs (on-body design) • Caroline Hummels (design for societal transformation) • Panos Markopoulos (design for rehabilitation) • Ben Schouten (playfull interaction)
Industrial Engineering • Jan de Jonge (organizational psychology and sports)
Innovation Sciences • Wijnand IJsselsteijn (human technology interaction and sports)
Key chairs involved
18-Jun-12 (‹#›)/department Industrial Design
Data acquisition: Recent Revolution (2010-…)
Truly versatile portable real-time 24/7 data acquisition platform(Big Data)
18-Jun-12 (‹#›)/department Industrial Design
• Direct measurement • Position (GPS) / time • Acceleration • Activity type (walking/running/cycling)
• Measurement via connected sensors • Heart rate/ECG • Respiration • (EMG) • (Transpiration)
New possibilities, available with no/low threshold
18-Jun-12 (‹#›)/department Industrial Design
• Very little field data available on activity patterns of (adult) recreational sporters/non-sporters
• During sports/training (when, where, how)
• During recovery
• Even more difficult how to design propositions that, positively, affect these patterns
• Low participation and extreme drop-out rates for sports at ages beyond 15
• Successes exist but underlying mechanisms still under subject of further research (Vlaanderen Loopt)
Research problem not trivial
18-Jun-12 (‹#›)/department Industrial Design
Commercial apps are available but added value to end-users is limited
18-Jun-12 (‹#›)/department Industrial Design
• What groups (see work of dr. Steven Vos) would require what type of support • Motivation • Profile specific guidance and support
• How can we design suitable systems/products/services for this
• How can we measure the results • How do we interpret the data
Needed: specific support for specific profiles / user groups
18-Jun-12 (‹#›)/department Industrial Design
Another example: Smart Goals (Chris Heger, Mark de Graaf)
18-Jun-12 (‹#›)/department Industrial Design
• Research,
• on end-users level,
• data-centered
• based upon new, often low-cost, technology, • directly in the field
• New products/systems/services
• Using detailed on-body information (during sports activities and/or 24/7)
• To support wide ranges of sports (priority: running, swimming and football)
• On the level of both top-sporters as well as mass-markets
The future