Recent advances digital imaging /certified fixed orthodontic courses by India...Indian dental academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Indian dental academy provides dental crown & Bridge,rotary endodontics,fixed orthodontics,
Dental implants courses.for details pls visit www.indiandentalacademy.com ,or call
0091-9248678078
This presentation is about new technologies that come handy for doctors to do medical things easier and better.
It was collected as a student presentation in university.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
Recent advances digital imaging /certified fixed orthodontic courses by India...Indian dental academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Indian dental academy provides dental crown & Bridge,rotary endodontics,fixed orthodontics,
Dental implants courses.for details pls visit www.indiandentalacademy.com ,or call
0091-9248678078
This presentation is about new technologies that come handy for doctors to do medical things easier and better.
It was collected as a student presentation in university.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
Implementation of Ear Biometrics as Emerging Technology in Human Identification System ...............1
B. Srinivasan and V. K. Narendira Kumar
Determining the Security Enhancement of Biometrics in Internet Passport Scheme using Cryptographic
Algorithms ........................................................................................................................................1
B. Srinivasan and V. K. Narendira Kumar
Novel Image Fusion Techniques using DCT .........................................................................................1
V. P. S. Naidu
High Performance Data mining by Genetic Neural Network ................................................................1
Dadmehr Rahbari
Parallel Ensemble Techniques for Data Mining Application .................................................................1
M. Govindarajan
A Hybrid Cryptosystem for Image using Chaotic Mapping ...................................................................1
Nidhi Sethi and Sandip Vijay
Investigating Factors Affecting Adoption and Implementation of m-Government in the South African
Department of Home Affairs: An on-going Research ..........................................................................1
Maleshoane Sepeame and Emmanuel Babatunde Ajala
Prospects of Thermal Management Techniques in Microprocessor Architecture .................................1
Ajaegbu Chigozirim, Shodiya A.S and Kuyoro Shade O.
Capacity Based Clustering Model for Dense Wireless Sensor Networks ...............................................1
S. R. Boselin Prabhu and S. Sophia
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Iris recognition for personal identification using lamstar neural networkijcsit
One of the promising biometric recognition method is Iris recognition. This is because the iris texture provides many features such as freckles, coronas, stripes, furrows, crypts, etc. Those features are unique for different people and distinguishable. Such unique features in the anatomical structure of the iris make it
possible the differentiation among individuals. So during last year’s huge number of people have been
trying to improve its performance. In this article first different common steps for the Iris recognition system
is explained. Then a special type of neural network is used for recognition part. Experimental results show high accuracy can be obtained especially when the primary steps are done well.
Expo Day: Neuroenginnering, BPI, Arrowsmith Program & ARPFSharpBrains
Selected Summit Sponsors and Partners showcase their most promising brain health & enhancement initiatives and solutions.
Noon-1pm. From tomorrow’s neuroengineering to today’s brain health
*Dr. Randal Koene, Lead Scientist at Kernel, discusses future directions of neuroenginnering and human computer interfaces.
*Dr. Leanne Young, Executive Director of the Brain Performance Institute at UT-Dallas Center for BrainHealth presents the new 62,000-square-foot Brain Performance Institute.
1-1.30pm. Debbie Gilmore, Executive Director of The Arrowsmith Program, will present plans to better equip 100+ schools helping students with special needs.
1.30-2pm. Dr. Chris Walling, Chairman of the Educational Advisory Committee at The Alzheimer’s Research and Prevention Foundation (ARPF), will present the new Brain Longevity Therapy Training.
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Design and Implementation of Optical Palm Scannerdbpublications
This paper proposes the method of designing and implementation of optical palm scanner. An individual’s palm lines do not significantly change after a certain age. This paper explains the method of extracting clear palm print image. This image will highlight creases and ridges pattern in the palm which will be distinct to each disorders and diseases. This image can further be used by physician to monitor the health state of individual.
Implementation of Ear Biometrics as Emerging Technology in Human Identification System ...............1
B. Srinivasan and V. K. Narendira Kumar
Determining the Security Enhancement of Biometrics in Internet Passport Scheme using Cryptographic
Algorithms ........................................................................................................................................1
B. Srinivasan and V. K. Narendira Kumar
Novel Image Fusion Techniques using DCT .........................................................................................1
V. P. S. Naidu
High Performance Data mining by Genetic Neural Network ................................................................1
Dadmehr Rahbari
Parallel Ensemble Techniques for Data Mining Application .................................................................1
M. Govindarajan
A Hybrid Cryptosystem for Image using Chaotic Mapping ...................................................................1
Nidhi Sethi and Sandip Vijay
Investigating Factors Affecting Adoption and Implementation of m-Government in the South African
Department of Home Affairs: An on-going Research ..........................................................................1
Maleshoane Sepeame and Emmanuel Babatunde Ajala
Prospects of Thermal Management Techniques in Microprocessor Architecture .................................1
Ajaegbu Chigozirim, Shodiya A.S and Kuyoro Shade O.
Capacity Based Clustering Model for Dense Wireless Sensor Networks ...............................................1
S. R. Boselin Prabhu and S. Sophia
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Iris recognition for personal identification using lamstar neural networkijcsit
One of the promising biometric recognition method is Iris recognition. This is because the iris texture provides many features such as freckles, coronas, stripes, furrows, crypts, etc. Those features are unique for different people and distinguishable. Such unique features in the anatomical structure of the iris make it
possible the differentiation among individuals. So during last year’s huge number of people have been
trying to improve its performance. In this article first different common steps for the Iris recognition system
is explained. Then a special type of neural network is used for recognition part. Experimental results show high accuracy can be obtained especially when the primary steps are done well.
Expo Day: Neuroenginnering, BPI, Arrowsmith Program & ARPFSharpBrains
Selected Summit Sponsors and Partners showcase their most promising brain health & enhancement initiatives and solutions.
Noon-1pm. From tomorrow’s neuroengineering to today’s brain health
*Dr. Randal Koene, Lead Scientist at Kernel, discusses future directions of neuroenginnering and human computer interfaces.
*Dr. Leanne Young, Executive Director of the Brain Performance Institute at UT-Dallas Center for BrainHealth presents the new 62,000-square-foot Brain Performance Institute.
1-1.30pm. Debbie Gilmore, Executive Director of The Arrowsmith Program, will present plans to better equip 100+ schools helping students with special needs.
1.30-2pm. Dr. Chris Walling, Chairman of the Educational Advisory Committee at The Alzheimer’s Research and Prevention Foundation (ARPF), will present the new Brain Longevity Therapy Training.
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Design and Implementation of Optical Palm Scannerdbpublications
This paper proposes the method of designing and implementation of optical palm scanner. An individual’s palm lines do not significantly change after a certain age. This paper explains the method of extracting clear palm print image. This image will highlight creases and ridges pattern in the palm which will be distinct to each disorders and diseases. This image can further be used by physician to monitor the health state of individual.
Phone As A Sensor Technology: mHealth and Chronic Disease Eric Larson
The mHealth “revolution” has promised to deliver in-home healthcare that parallels the care we might receive in a physician’s office. However, the panacea of digital health has proven to be more problematic and messy than its vision, especially for collecting and interpreting medical quantities from the home. In this talk I will discuss several successful projects for sensing medical quantities from a mobile phone using the embedded sensors (i.e., camera, microphone, accelerometer) and how these projects can increase compliance as well as enhance doctor patient relationships. I will focus on the reliability and calibration of the sensing and the role of computer scientists and engineers in the future of mHealth.
A summary of ongoing research we have been working on at the University of Washington. I gave this in August 2011 at Georgia Tech. My take on how signal processing shapes the projects of UbiComp, turning a novel idea into a robust reality.
1. eric c. larson | eclarson.com
PupilWare
Assistant Professor Computer Science and Engineering
towards pervasive cognitive load measurement
using commodity devices
6. Subtle Pupillary Response
1940 1950 1960 1970 1980 1990 2000 2010 2015
1943 Blood alcohol
proportional to
pupil size
1947 First
scientific studies
of light reflex
1950 Pupil size
decreases with
age
1959 Pupil size projector
invented, by Hess and
Polt
1960 Pupil size
and visual
stimuli
1961-1969 Indicator of
preference, fatigue
1966 Pupil size
& memory
1967 Pupil size
& processing
difficulty
1968 Pupil size
maintained
during thought
1983 First digital
device for capturing
pupil size
1989 Apparatus for
desktop imaging of
pupil
1995 First handheld
digital pupillometer
2005-2012 Validation of eye trackers for pupil
measurements
2008 Framework for
measuring digital
interruption cost
7. 1940 1950
1943 Blood alcohol
proportional to
pupil size
1947 First
scientific studies
of light reflex
1950 Pupil size
decreases with
age
Skoglund, 1943 Thompson 1947 & Delauney 1949 Birren, 1950
8. 1950 19
udies
x
1950 Pupil size
decreases with
age
1959 Pupil size projector
invented, by Hess and
Polt
Hess and Polk, 1959-1960
12 mm
4 mm
4.2 mm
9. 1960
59 Pupil size projector
ented, by Hess and
lt
1960 Pupil size
and visual
stimuli
preference, f
Hess and Polk, 1959-1960 Hess and Polk, 1960
10. 1960 1970
ctor
d
1960 Pupil size
and visual
stimuli
1961-1969 Indicator of
preference, fatigue
• schizophrenia and neurotic diagnosis (Rubin 1964)
• sexual orientation (Hess 1965)
• political preference (Hess 1965)
• pleasant taste (Hess 1965)
• infant object recognition and preferential looking
(Fitzgerald et al.1967)
• musical pitch interpretation (Kahneman and Beatty 1967)
• fatigue, alertness, and sleep deprivation (Lowenstein and
Loewenfeld 1964, Bartlett et al. 1967)
Consensus:
-pupil dilation indicated something pleasing
-not a strict measure of emotion
-related but not proportional to arousal
11. 1966 Pupil size
& memory
1967 Pupil size
& processing
difficulty
1968 Pupil size
maintained
during thought
Kahneman and Beatty, 1966 Hess and Polk, 1967 Bradshaw, 1968
Eventually the processing of the brain and
use of working memory came to be
understood as cognitive load
12. 1966 Pupil size
& memory
1967 Pupil size
& processing
difficulty
1968 Pupil size
maintained
during thought
Kahneman and Beatty, 1966 Hess and Polk, 1967 Bradshaw, 1968
Eventually the processing of the brain and
use of working memory came to be
understood as cognitive load
klingner, 2012
Digit Span Task
13. 1960 1970 1980
ctor
d
1960 Pupil size
and visual
stimuli
1961-1969 Indicator of
preference, fatigue
1966 Pupil size
& memory
1967 Pupil size
& processing
difficulty
1968 Pupil size
maintained
during thought
1983 First digital
device for capturing
pupil size
14. 1980 1990
1983 First digital
device for capturing
pupil size
1989 Apparatus for
desktop imaging of
pupil
Jones and Smith, 1983 Carter, 1989
16. 2000 2010
2005-2012 Validation of eye trackers for pupil
measurements
2008 Framework for
Klingner et al., 2005-2012
$500+ USD
17. 2010 20152008 Framework for
measuring digital
interruption cost
Iqbal and Bailey, 2008
Use of cognitive load for
real time user awareness is
becoming more of a
possibility
19. the webcam
~15 x 15 pixels
dilations are mostly sub-pixel
highly affected by noise and lighting
HD 1280x720
20. Study
Can baseline cognitive load be measured,
compared to a gold standard pupillometer?
Can subtle variations be measured, compared
to a remote eye tracker?
Age: (mean=23, range=19-38)
Sex: 7 Male, 5 Female
Color: Lighter Eyes: 7, Brown: 5
Vision: Corrected-to-normal, 2
12 participants
42. Conclusions and Future
Research
+about as accurate as gaze tracking
+within 0.5mm of pupillometer
-dark eyes, reflection
-complex stimuli
-privacy
-off axis eye and head pose
-accounting for light reflex
i.e., screen brightness changes
ubiquitous?
43. markers of pain
sympathetic nerve damage
head injury
context aware
computing
attention
Future Work and
Applications
fatigue and
sleep deprivation
comprehension and
cognitive disability
45. eric c. larson | eclarson.com
Assistant Professor Computer Science and Engineering
eclarson.com
eclarson@smu.edu
@ec_larson
PupilWare
towards pervasive cognitive load measurement
using commodity devices
Suku NairSohail Rafiqi
Chatchai
Wangwiwattana
Ephrem
Fernandez
Jasmine Kim