TECHNICAL SEMINAR ON
Blue Eyes
Technology
A. VAMSHI KRISHNA
RNO : 160119737119
Contents:
The Term Blue Eye
Introduction
What is Blue Eye Technology?
Literature Survey
System Overview
II
Implementation
Blue Eyes Enabled Devices
Applications
Conclusion
References
The Term Blue Eye
Blue
From Bluetooth
Eye
From Eye Movement
• Aims at creating computational machines
that have perceptual and sensory ability like
those of human beings.
• The basic idea behind this technology is to
give computer human power.
• It has the ability to gather information about
you and interact with you through special
techniques like facial recognition, speech
recognition, etc.
Introduction
What is Blue Eye Technology ?
brain involvement
The Complex Solution for Human-Operator Conscious
monitoring.
It Involves:-
Triggering user-defined actions
It involvement monitoring.
1. Conscious brain
Involves
2. Triggering user-defined actions.
Data recording
3. Data recording.
4. Use of Biometrics.
Literature Survey:
Title
Authors
Year
Advantages
Disadvantages
1. Blue Eye
Technology for
Authentication
and Security
M. Manikandan,
P. Rajesh
2021
Proposes the use
of Blue Eye
Technology for
authentication
and security
purposes.
Limited discussion
of potential
security risks
2019
Shows how Blue
Eye Technology
can be used to
recognize and
analyze emotions
in real-time.
Limited accuracy
of emotion
recognition
2. A Real-Time
P. C.
Emotion
Siddalingaswamy,
Recognition
R. N. Uma
System Using Blue
Eye Technology
Title
Authors
Year
Advantages
Disadvantages
3.A Framework for
Implementing Blue
Eye Technology in
Smart Homes
Kritika Singh,
R. S. Anand
2020
Offers a framework for
implementing Blue Eye
Technology in smart
homes
Lacks empirical
validation of
proposed
framework
4.The Impact of
Emotions on Web
Browsing Behaviour:
A Study of Blue Eye
Technology
Saima Khan,
Sehrish Ilyas
2019
Shows how Blue Eye
Technology can be used
to analyze web browsing
behaviour and improve
user experiences.
Limited sample
size
System Overview:
Bluetooth technology provides means for creating a personal
area network linking the operators and the central system.
Data Acquisition Unit:
• Atmel 89C52 microcontroller - system core
• Jazz Multi sensor interface
Central System Unit:
• Connection Manager
• Data Logger Module
• Data Analysis Module
• Visualization Module
Implementation:
01
It Involves 4 categories:
1. Facial Recognition
02
2. Touch Recognition
3. Speech Recognition
03
4. Eye Tracking
04
Facial Recognition
Face Recognition Software:
• Ideal for collecting the human
emotions data from facial expressions.
• The software analyzes the
expressions happy, sad, angry,
surprised, scared, disgusted and
neutral.
Touch Recognition
1. Emotion Mouse
• An important element of incorporating emotion
into computing is for productivity for computer
user.
• Track the emotions of a user just by touching
on it.
• Collect the user’s physical and physiological inf
ormation by just a mere touch.
Touch Recognition
2. Sentic Mouse
• It is a modified computer mouse.
• Includes a directional pressure sensor for
aiding in recognition of emotional valence.
• To quantify human emotions and map the
m into predictive model of emotion theory.
Speech Recognition
Artificial Intelligence Speech Recognition
• It involves studying the thought processes of
human beings and it deals with representing
those processes via machines.
• Natural language processing (NLP) refers to
artificial intelligence methods of communicating
with a computer
• The input words are scanned and matched agai
nst internally stored known words.
Eye Tracking
1. Expression Glasses
• A wearable device that allows any viewer
to see a graphical view of the wearer's fac
ial expressions.
• The image used for this glass uses
electricity sensors.
• Identify meaningful expressions such as
confusion or interest using use pattern
recognition pattern recognition.
Eye Tracking
2. Manual And Gaze Input Cascaded(MAGIC)
•Computer could move the cursor by
direction of the user’s eyes.
•Improvement over the traditional eye
gaze systems.
•Reduce physical efforts and fatigue,
greater accuracy.
Blue Eyes Technology enabled devices
PONG
Robot
POD
Car
Applications:
•
•
•
•
•
•
Survey working environment
Flight control servers
Video games
Automobile Industries
Power stations
Operation theaters
Conclusion:
• In the future, ordinary household devices such as television,
refrigerators, and evens may be able to do their jobs when we
look at them and speak to them.
• Provides more delicate and user-friendly facilities in computing
devices.
• Gap between the electronic and physical world is reduced.
• The computers can run using implicit commands instead of the
explicit command.
References:
•https://irejournals.com/formatedpaper/1700654.pdf
•https://www.scribd.com/
•https://www.ijert.org/a-survey-on-blue-eyes-technology
•https://www.engpaper.com/blue-eyes-technology.html
•https://krazytech.com/
THANK
YOU!