use cases enabled by neuroscientific algorithms in AR/VR: 1) early detecting Alzheimer's, Parkinson's 2) early detecting ADHD and autism 3) medical eLearning

1. We leverage neuroscience and machine
vision to enable
▪ better medical care
▪ improved medical training
by building a “pulse watch for the brain”
TEASER
INFO
HUMAN ATTENTION
IN FOCUS

2. Our Eyes: “Mirror of the Brain“
Our founder and CEO Christian Kusmitsch, PhD is a
neuroscientist
His research field is human attention, advocating:
“eyes reflect brain activity“
One of his patents is applicable for this venture
By interpreting a set of eye-related parameters,
we can measure and predict mental load and detect
irregularities in brain activity

3. Non-invasive brain tracking is going mainstream
In the last three decades technologies to
measure heart-related signals were
conceptualized, developed and commercialized,
gradually reaching mass-market appeal.
biofeedback subject
cuffs, sensors & co.
traditional measurement methods modern, user-friendly solutions
>> Brain-monitoring is the next frontier in biofeedback and will enable various medical applications from early detection to improved training methods
EEG
data from wearable pulse measurement device
data from specialized AR glasses / high-end camera
1990 - 2020
2020 - 2030
We have the expert team, patent, partners and
customer pipeline to record, analyze and
interpret correlates of attention and
cognition (e.g. eye-movements, eye-blinks),
pointing at fatigue and mental irregularities.

4. The product
We partner with several high-end augmented
reality glasses manufacturers that enable us to
record eye-related parameters at very high spatial
and temporal resolution
We analyze and compare captured data to
individual history and the relevant peer group
Feedback to (individual,) doctor and pool of
specialists on the status and predicted pathway

5. Early detection use cases for children
Mental health and neuro-developmental disorders
Children have a high propensity to play cognitive games which can be used to
retrieve psychophysiological correlates of attention, e.g. blink rate speed changes.
Continuous behavioral monitoring facilitates more reliable early diagnosis (and
treatment) of neurological disorders.
The interpretation of unusual patterns can help detect warning signals for
pathological irregularities and changes in brain function like autism and ADHD
(attention deficit hyperactivity disorder).

6. Early diagnosis of aging-related neuro-degenerative disorders
Continuous monitoring of eye-related parameters can detect early signals of mental degradation and
neurodegenerative diseases, e.g. Parkinson’s and Alzheimer’s disease.
In this context, interpreting eye behavior serves as proxy for pathological
changes in brain function which can be induced by different factors.
Changes of neurotransmitters in the brain influence eye-movement
patterns which consequently significantly deviate from the norm.
Early detection can have significant benefits, enabling timely treatment
(e.g. cognitive training) to alleviate symptoms and improve quality of life.
We have submitted a research proposal to the European Commission’s call for Active Assisted Living (AAL):
http://www.aal-europe.eu/
Early detection use cases for elderly

7. Optimized curriculum design
Testing learning content with students in AR/VR environments allows for insights on apprehension and fatigue. This
enables optimization of content for easier, resource-efficient (e-)learning which results in better use of lab hours and
medical equipment.
Process mining and quality management
Learning new skills depends both on the viewer’s attention and the underlying device design and user experience.
By analyzing device usage in VR we can identify friction in the process and avoid accidents / inefficient use.
We have submitted a research proposal to the European Innovation
Council’s (EIC) Fast Track to Innovation (FTI) program with several
international partners from the public and private sector:
https://ec.europa.eu/programmes/horizon2020/en/h2020-section/fast-track-innovation-pilot
Microsoft HoloLens augmented reality support of surgical and learning environments demonstrating industry’s future
https://www.linkedin.com/posts/adamdanyal_techthatmatters-surgery-healthcare-activity-6647665003585511424-AvCo
https://www.linkedin.com/feed/update/urn:li:activity:6715284322758344704/
Improving medical education / training

8. Co-founders: Expertise in neuroscience, health and business
Christian Kusmitsch, PhD
Chief Executive Officer
• PhD in Neuroscience, University of Vienna
and University of California San Diego (UCSD)
• Brain researcher at the Institute of Public Health Vienna
• Management consultant focussing on pharma and healthcare
• Former R&D and innovation manager at UBIMET, a Red Bull company
Aladar Tepelea
business development
• Corporate finance and investor relations professional
• Partner in strategic innovation consultancy
• Connector to venture investors, lecturer on business development
• Former BlackRock and Novartis strategy manager

9. Technical team: Deep know-how of seasoned experts
Grischa Meyer, PhD
Chief Technology Officer
• Scientific Application/Infrastructure Specialist at Roche
• Full-stack Engineer at real-time speech analysis venture
• Founder of several technology startups
• Senior Software Engineer and Application Architect at
Monash University, responsible for architecture,
development, operations for open-source data
management solutions focused on large scientific data
• PhD in Biophysics from University of Queensland,
conducting several projects on software platforms,
including one on high-performance computing
Dipl.-Ing. Dr. Kurt Schröder
machine vision and hardware development
• Electrical and communication engineering studies at
the University of Technology in Vienna
• Habilitation in the field of high-power laser technology
• Professor at the Department of Nonconventional
Processing, Forming and Laser Technology (Faculty of
Mechanical Engineering), Vienna University of Technology
• Founder of iiNES - Innovative Engineering Solutions GmbH:
engineering advisory for electrical and mechanical engineering;
handling projects in hardware and software development
focusing on measurement engineering, automation engineering,
embedded systems, audio and video signal processing
Christian Stampf
machine learning and platform development
• Former automotive IT executive
• Deep learning setup and integration
• Web and App development for dashboard and backend
• Behavioral scientist, optimizing engagement metrics
• Long-standing work experience in China and Taiwan,
familiar with local cultural specificities

10. Christian Kronseder
data science
• Professor for data science at FHNW Switzerland, School of Life Sciences
• ETH and Oxford University Alumnus
Alexander Lorz
technology platform
• Founder aiso-lab: consulting enterprises on AI solutions
• PhD in Applied Mathematics, University of Cambridge
• Associate Professor at the Sorbonne and the Pierre and Marie Curie University
• Referee for journals and institutions, e.g. Nature Communications
Michael Schmutz
marketing
• Seasoned marketing and PR executive
• Strong background in marketing of innovative technical products
• Creative Director at Y&R, Wunderman
Advisory board: Broad range of expertise and large network
Alfred Stepan
finance
• Deputy Head of Finance at one of the market leaders in the health care sector
• Specialist in financing R&D infrastructure
Reinhard Stary
strategy
• Insurance top-executive, CEO/CFO/ board member in high-tech companies
• LBS and Columbia University Alumnus

11. Why now?
• Recent technological developments (high-quality camera affordability, increased frame-rates and resolution, faster CPUs,
scalable neural networks for deep learning) enable us to leverage the previously conducted research of the founder
• We own a patent that covers the functionalities and workflows of the product
• Working prototype for dry-eye detection is ready and can be adjusted to application-specific use cases
• Integrating further signals will enable us to add functionalities (e.g. pulse measured via camera filters, voice sentiment via
headsets)
• Trend to VR/AR and gamification is ideal for behavioral data collection (headsets) and combination of signals
• Self-measurement is a growing trend (e.g. fitbit, health apps), brain signals will be a further milestone on the road to the
'quantified self'
• Direct competition is overestimated: consumer(research) applications use eye-tracking to determine gaze direction for
identifying points of interest which is functionally fundamentally different from vision-based attention monitoring outside of
their scope.

12. We look for
• investors, ideally 'smart money', opening doors in relevant use case verticals
• corporates as clients or partners in research projects
• advisory board members with domain expertise or industry network
• grants and non-dilutive funding
• referral partners
ContactHUMANATTENTIONINFOCUS
Dr. Christian Kusmitsch, co-founder
CEO and Chief Neuroscientist
ckusmitsch@mindset-technologies.at
+43 664 511 2955
Vienna, Austria
Aladar Tepelea, co-founder
business development
aladar.tepelea@evitive.net
+41 77 9234 961
Zurich, Switzerland

13. Appendix

14. F.A.Q. – Frequently Asked Questions
• How are you different from eye-tracking applications?
For us gaze direction is less relevant, for our machine learning algorithms we use entirely different input variables (e.g. pupil
dilation, facial blood flow)
• Are you exclusively using the eyes for detecting activity / attention levels?
We also use additional signals like facial blood flow and depending on the use case, we can add signals like keystrokes,
(macro-)movement sensor data, voice inputs, etc.
• Why do you need external hardware – could you not just use phone / screen cameras?
In order to detect subtle signals like changes in blinking rate we need equipment which can process these kind of inputs.
At the same time, our calculations require high amounts of processing power. Therefore they should not run on the user’s
device, but on ours, externally (in order not to compromise performance).
Hence, we run on a specialized chipset combined with cloud analytics. This can change in the future as hardware
communication interfaces will advance.
• Are companies like Tobii competition for you?
Their company is focusing on gaze direction and eye-directed AR motion controls with comparatively low-resolution (of time)
cameras.
We use different signals, have different use cases and our partner Viewpoint System has the required hardware to record and
process the high-resolution, highly calculation-intensive data.

15. Deploying best-in-class hardware
View Point System (VPS) is a world-leading eye tracking system, made in Austria which
we use to track verious KPIs related to gaze direction, pupil size and blink frequency
Additionally, VPS 19 enables direct voiceline communication between headset user and experts

16. Our framework for
medical eLearning and
quality management to
reduce human error
through the use of virtual
reality learning
environments.
Project proposal has
been submitted to the
EU grant program
“Fast Track to Innovation“

17. Project architecture for our medical eLearning use case.
Project proposal has been submitted to the EU grant program
“Fast Track to Innovation“.

18. 2nd prio use cases: Clinical risk mitigation / insurance
• Trauma detection where imminent undetected impact is likely
(e.g. after accidents, surgeries, etc.)
Lowering risk for patients and reducing cost (less hospitalization)
through ambulant monitoring in combination with tele-medicine:
continuous supervision of pupils and light reflex reaction possible via
specialized camera and dedicated check-up for indications where
physical trauma has been diagnosed or is likely
• Pupils asymmetry diagnostics (pupil size and reflexes)
allow detection of post-traumatic skull-brain injuries and can be e.g.
effective indicators of bleedings post-surgery and in the healing
period. An effective high-quality monitoring solution supports clinical
work post-treatment.