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Ignazio Aleo, Moveshelf Co-Founder, 21st June 2017
TOWARDS ACTIONABLE AND IMMERSIVE MOVEMENT ANALYSIS
100 years ago 25 years ago Trend
Source: History of Nephrology, Welch Allyn, Medisave, Kinsa
GENERAL DIGITIZATION OF HEALTHCARE
Assisted Analog Assisted DigitalUnassisted
VIRTUOUS CYCLE OF ACTIONABLE DATA INSIGHTS
Every time a new technology gives us the opportunity to massively
digitize content and such content becomes universally accessible, good
things happen
Source: Kleiner Perkins, Internet Trends 2017, National Institutes of Health, U.S, National Library of Medicine
(4/17), *Cumulative PubMed Publications, **Peer-reviewed articles on challenges in medical education
As technology developers we have been preparing this wave of digital
motion technology over the past 15 years. We have been working at
industry leading motion sensing and motion capture providers,
facilitating sensors’ integration in a wide range of professionals (e.g. full
body systems) and consumers products (e.g. wearables).
- We just crossed point 1) and we started working on 2)
HOW ABOUT BODY MOVEMENT DIGITIZATION ?
Source: Rock Health 2016 Consumer Survey (12/16)
Basic motion tracking technology is gaining adoption: a very large base
of wearable devices already exist and it is still growing YoY (+12% 2016)
WHERE DOES DIGITAL MOTION TECHNOLOGY STAND ?
Accelerometer
WHERE DOES DIGITAL MOTION TECHNOLOGY STAND ?
Comprehensive and accurate motion capture technologies are now
becoming accessible as new powerful tools are being pushed into
the market by technology leaders like Microsoft, Google, Facebook
and Apple.
Like books, photos and music before, human motions will also be
digitized on a massive scale and widely used, edited, viewed and
shared.
HOW IS THIS DATA ACCESSED ?
The hypergrowth of digital media as well as new VR/AR and
Machine Learning technologies are now providing
unparalleled opportunities in terms of accessibility and data
insights
Today, 3D human movement data cannot easily be accessed
and analyzed or be used and shared in meaningful ways.
HOWEVER
OUR GOALS
- Provide a dramatically simplified user experience to search, store, edit
and share 3D human motion data on digital and mobile media, including
in VR/AR.
- Build a scalable solution for 3D motion processing and analysis
algorithms on top of modern Machine Learning and AI technologies to
make human motion data meaningful, rich, predictive, informative and
entertaining.
- Sustain innovation and accessibility over digital motion data
WHAT IS TODAY’S TARGET AUDIENCE ?
As technology matures, we will be focusing on facilitating the
technology providers’ integration and working with existing
digital motion professionals:
- Sport scientists, biomechanics, gait analysis and
rehabilitation labs.
- Motion based content creators for entertainment
WHY DOES THIS MATTER ?
- An accessible, large amount of human digital motion data
will change how we play, work, learn and stay healthy.
- Applications will be found anywhere human motion and
movement performance play a central role
- After Mobile first and AI first, it must be Human first
HOW FAR DID WE GET ?
- We collected an initial library of over 3000 full body movements from
available motion databases
- We built an highly portable technology demonstrator to store and
ubiquitously access, explore and share data across platforms and widely
used digital media, in VR as well
- We are focusing on early development, our platform is currently
invitation only but we are happy to hear your feedback, so just get in
touch with us to discuss, hear and see more
FOLLOW OUR JOURNEY*
https://moveshelf.com
info@moveshelf.com
@moveshelf
Amsterdam @WW Metropool
*we are looking forward to meet talented people to help us exploring
these new technologies and opportunities much further.

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Ignazio Aleo - Moveshelf - HealthTech & The City - AmsterdamTechCity - 21 JUNE 2018

  • 1. Ignazio Aleo, Moveshelf Co-Founder, 21st June 2017 TOWARDS ACTIONABLE AND IMMERSIVE MOVEMENT ANALYSIS
  • 2. 100 years ago 25 years ago Trend Source: History of Nephrology, Welch Allyn, Medisave, Kinsa GENERAL DIGITIZATION OF HEALTHCARE Assisted Analog Assisted DigitalUnassisted
  • 3. VIRTUOUS CYCLE OF ACTIONABLE DATA INSIGHTS Every time a new technology gives us the opportunity to massively digitize content and such content becomes universally accessible, good things happen Source: Kleiner Perkins, Internet Trends 2017, National Institutes of Health, U.S, National Library of Medicine (4/17), *Cumulative PubMed Publications, **Peer-reviewed articles on challenges in medical education
  • 4. As technology developers we have been preparing this wave of digital motion technology over the past 15 years. We have been working at industry leading motion sensing and motion capture providers, facilitating sensors’ integration in a wide range of professionals (e.g. full body systems) and consumers products (e.g. wearables). - We just crossed point 1) and we started working on 2) HOW ABOUT BODY MOVEMENT DIGITIZATION ?
  • 5. Source: Rock Health 2016 Consumer Survey (12/16) Basic motion tracking technology is gaining adoption: a very large base of wearable devices already exist and it is still growing YoY (+12% 2016) WHERE DOES DIGITAL MOTION TECHNOLOGY STAND ? Accelerometer
  • 6. WHERE DOES DIGITAL MOTION TECHNOLOGY STAND ? Comprehensive and accurate motion capture technologies are now becoming accessible as new powerful tools are being pushed into the market by technology leaders like Microsoft, Google, Facebook and Apple. Like books, photos and music before, human motions will also be digitized on a massive scale and widely used, edited, viewed and shared.
  • 7. HOW IS THIS DATA ACCESSED ? The hypergrowth of digital media as well as new VR/AR and Machine Learning technologies are now providing unparalleled opportunities in terms of accessibility and data insights Today, 3D human movement data cannot easily be accessed and analyzed or be used and shared in meaningful ways. HOWEVER
  • 8. OUR GOALS - Provide a dramatically simplified user experience to search, store, edit and share 3D human motion data on digital and mobile media, including in VR/AR. - Build a scalable solution for 3D motion processing and analysis algorithms on top of modern Machine Learning and AI technologies to make human motion data meaningful, rich, predictive, informative and entertaining. - Sustain innovation and accessibility over digital motion data
  • 9. WHAT IS TODAY’S TARGET AUDIENCE ? As technology matures, we will be focusing on facilitating the technology providers’ integration and working with existing digital motion professionals: - Sport scientists, biomechanics, gait analysis and rehabilitation labs. - Motion based content creators for entertainment
  • 10. WHY DOES THIS MATTER ? - An accessible, large amount of human digital motion data will change how we play, work, learn and stay healthy. - Applications will be found anywhere human motion and movement performance play a central role - After Mobile first and AI first, it must be Human first
  • 11. HOW FAR DID WE GET ? - We collected an initial library of over 3000 full body movements from available motion databases - We built an highly portable technology demonstrator to store and ubiquitously access, explore and share data across platforms and widely used digital media, in VR as well - We are focusing on early development, our platform is currently invitation only but we are happy to hear your feedback, so just get in touch with us to discuss, hear and see more
  • 12. FOLLOW OUR JOURNEY* https://moveshelf.com info@moveshelf.com @moveshelf Amsterdam @WW Metropool *we are looking forward to meet talented people to help us exploring these new technologies and opportunities much further.