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

National Dutch Research- and Innovation-agenda Sports

– (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

Result: Output and Impact

Innovations that make a difference…

Ambition

Impact in•Sports•Society•Economy•Science

Ambition (II)

• 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

Presentating the Agenda to the Minister


People, Sports and Vitality

a challenge and an opportunity!

Prof.dr.ir. A.C. (Aarnout) Brombacher Eindhoven University of Technology


Major themes at TU/e level (Strategic Areas)

15


• 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


• 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


• 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


• 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


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


Data acquisition: Recent Revolution (2010-…)

Truly versatile portable real-time 24/7 data acquisition platform(Big Data)

http://www.google.nl/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&docid=FVHgNJ8oMoNZzM&tbnid=32g_dbsxULgKlM:&ved=0CAUQjRw&url=http://be.hardware.info/productinfo/193851/samsung-galaxy-s4-mini-black&ei=zqh4U9OkEaqm0wXi2IG4Dg&bvm=bv.66917471,d.d2k&psig=AFQjCNFrwUeg5n4hJSK0_xGDwQbm-KyUeA&ust=1400502855164178

http://www.google.nl/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&docid=82ea4Wg39dH1YM&tbnid=brdFi9Wg5noZ5M:&ved=0CAUQjRw&url=http://www.technobuffalo.com/2013/09/08/iphone-5s-concept-shows-off-a-home-button-with-a-ring-light/&ei=K6l4U_SjGYTI0QW_34HgBA&bvm=bv.66917471,d.d2k&psig=AFQjCNFezCSkVGlYxn5L7Kw5hUtoIHp5ww&ust=1400502815174885


• 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


• 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


Commercial apps are available but added value to end-users is limited


• 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


Research structure


A very recent example….


Another example: Smart Goals (Chris Heger, Mark de Graaf)


Some further examples…


• 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