je computer besturen met je ogen en je hersenen jaap ham 2018-06-19آ je computer besturen met je...
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Je computer besturen met je ogen en je hersenen
Jaap Ham
19-06-18 1 MAMEM presenta
Introduc
Associate editor of the Interna
Jaap Ham j.r.c.ham@tue.nl Research Group: Human Technology Interac
19-06-18 5
MAMEM: Mul
MAMEM Visie
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Patient & Clinician Academia & Research Industry & Society
Brain electrical signals
Eye movements
Perspiration & Heart Rate
WP2 WP3 WP4 WP5 WP6 WP7
WP1 (Project Management) & WP8 (Dissemination, Exploitation & Fostering Innovation)
and others …
Author
and others …
Share
vvvP and others …
Manage
Persuasive Design
+ Ψ =
MAMEM Visie
19-06-18 7
Patient & Clinician Academia & Research Industry & Society
Brain electrical signals
Eye movements
Perspiration & Heart Rate
WP2 WP3 WP4 WP5 WP6 WP7
WP1 (Project Management) & WP8 (Dissemination, Exploitation & Fostering Innovation)
and others …
Author
and others …
Share
vvvP and others …
Manage
Persuasive Design
+ Ψ =
MAMEM Visie
19-06-18 8
Patient & Clinician Academia & Research Industry & Society
Brain electrical signals
Eye movements
Perspiration & Heart Rate
WP2 WP3 WP4 WP5 WP6 WP7
WP1 (Project Management) & WP8 (Dissemination, Exploitation & Fostering Innovation)
and others …
Author
and others …
Share
vvvP and others …
Manage
Persuasive Design
+ Ψ =
Consor
Van Eindhoven tot Tel Aviv
19-06-18 MAMEM Review, Luxembourg, September 16th, 2016 10
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
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GazeTheWeb browser
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Devices for signal capturing & recording
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Eye-tracking • Heavy-weight (SMI REDn Scien
• C/C++ interfaces for LabSteamingLayer built upon the SDKs of each device
MAMEM Review, Luxembourg, September 16th, 2016 17
Eye tracker setup/calibra
System architecture & implementa
Translate eye-gaze signals into controls
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eyeGUI
GazeTheWeb
• Adoptable layout defined by XML files
• Visual elements for gaze-based interac
Translate EEG signals into controls
19-06-18 MAMEM Review, Luxembourg, September 16th, 2016 20
Features Classifier Time (s) Accuracy (%)
PWelch
Linear SVM 5.98 86.43
RBF SVM 5.95 87.14
MLR 6.05 87.86
LDA 5.78 70.71
PYAR
Linear SVM 5.72 87.14
RBF SVM 5.78 87.86
MLR 5.6 88.57
LDA 5.65 79.29
DWT
Linear SVM 5.86 89.29
RBF SVM 5.86 90.71
MLR 5.66 88.57
LDA 5.66 87.86
CSP
Linear SVM 6.99 83.57
RBF SVM 7.09 83.57
MLR 5.69 85
LDA 5.81 85.71
CSP with FB
Linear SVM 5.63 84.29
RBF SVM 7.08 84.29
MLR 5.69 85.71
LDA 6.36 89.29
Subject ID Op]mal Default
S001 99.99 98.55
S002 99.13 87.82
S003 47.82 34.78
S004 97.82 77.17
S005 26.08 30.43
S006 83.47 86.08
S007 98.26 60
S008 42.02 31.88
S009 99.99 99.99
S010 96.52 92.17
S011 98.26 98.26
Mean Acc. 80.85 72.47
SSVEPs SMRs
ErrPs
• Reliable setup of EEG sensor infrastructure
• In-house experimental protocols
• Replicate SoTA results
• Focus in on-line and low-cost BCIs
WP3
How to combine ET & EEG
19-06-18 MAMEM Review, Luxembourg, September 16th, 2016 21
• Cope with the Midas Touch problem in eye-tracking interfaces using the Senso- Motoric-Rhythms (EEG)
• Facilitate error-correc
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
Wie zijn de gebruikers?
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Example of req.Descrip]onRelevant Dimension
Compa
Task 1: User Profiles & Personas
Ø Spinal cord injury disorder Ø Neuromuscular disorders Ø Parkinson’s Disorder
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Model users using Personas
19-06-18 MAMEM Review, Luxembourg, September 16th, 2016 25
• Based on requirements
• User needs and computer habits
• Medical condi
Usage scenarios
19-06-18 MAMEM Review, Luxembourg, September 16th, 2016 26
• Basic tasks
• Intended for training and familiarizing with the system
• Sophis
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S]muleren tot gebruik
• Veldtest 1: Gebruikers in het lab • MAMEM aanpassen
– Sociale inclusie – S
Stimuleren
19-06-18 WP5 - User modelling and interface design, Luxemburg, September 2016 28
1. User acceptance and
training engagement
2. Keep using to increase social
participation
How to influence the acceptance and use of MAMEM technology for the different target groups?
19-06-18 29
Persuasive Design
19-06-18 MAMEM Review, Luxembourg, September 16th, 2016 30
• Interven
Games om te leren
31
Games bedenken
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b) Ac
Zoek de tovenaar
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Zoek de tovenaar
19-06-18 35
Nog meer beinvloeding: Scores
19-06-18 36
Playorm Communica
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
Alle deelnemers werden beter
19-06-18 39
SCI, PD, NMD werden beter
19-06-18 40
Able-bodied warden beter
19-06-18 WP5 - User modelling and interface design, Florence, June 2017 41
In de games, maar ook in 4 web-taken
19-06-18 WP5 - User modelling and interface design, Florence, June 2017 42
Steeds sneller typen
19-06-18 WP5 - User modelling and interface design, Florence, June 2017 43
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
Usage in non-controlled environments
Laboratory Environment
Heavy-weight infrastructure
Training processes
Phase I Home
Environment
Light-weight infrastructure
Monitor on- line ac
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
Sociale inclusie
19-06-18 47
• Methodology synthesizing digital indicators with social inclusion areas
• Par
19-06-18 48
Computer monitored ac
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
MAMEM Dashboard / Homepage
19-06-18 50
S
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
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19-06-18 WP5 - User modelling and interface design, Florence, June 2017 54
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MAMEM Dashboard / Homepage
19-06-18 65
• MAMEM bouwen – Technisch – Gebruikers in beeld brengen – S
Je computer besturen met je ogen en je hersenen
Jaap Ham
19-06-18 67 MAMEM presenta