2. Contents
Introduction
History
Key Characteristics
Architecture
Technologies
Steps of Ambient Intelligence
Applications
Advantages
Issues
Research Work
Future Scope
Conclusion
References
3. INTRODUCTION
Ambient Intelligence (AmI) is an emerging
discipline that brings intelligence to our every –
day environments and make those
environments sensitive to us.
Ambient Intelligence is a network of hidden
intelligent interfaces that recognize our
presence and mould our environment to our
immediate needs.
4. HISTORY
1998, ‘Philips’ sets out with a vision of 2020,
where a user friendly consumer electronic
industry would exist.
1999, Oxygen Alliance
2002, HomeLab
European Commission used the vision in FP6.
2004, First EUSAI was held, followed by many
conferences to date.
5. KEY CHARACTERISTICS
Human Centric technologies that are:
Embedded
Context Aware
Personalized
Adaptive
Anticipatory
8. Technologies
Ambient Intelligence builds on three recent key
technologies:
Ubiquitous Computing means integration of
microprocessors into everyday objects like
furniture, clothing, white goods, toys, even paint.
Ubiquitous Communication enables these
objects to communicate with each other and the
user by means of ad-hoc and wireless networking.
An Intelligent User Interface enables the
inhabitants of the AmI environment to control and
interact with the environment in a natural (voice,
gestures) and personalized way (preferences,
context).
9. Technologies
Other technologies used for implementing AmI
are:
Bluetooth Low Energy
RFID
Ict Implant
Sensors
Software Agents
Affective Computing
Nanotechnology
Biometrics
12. Steps of ambient intelligence
Sensing
Sensors
Ambient or body
13. Steps of ambient intelligence
Reasoning
Needed to provide responsiveness and
adaptability
Interpret and recognize context and activity
Context detection and context awareness
Mobility tracking
Activity recognition, activity prediction
Decision making
14. Steps of ambient intelligence
Acting
Home automation systems(lights, doors,
windows, temperature,…)
User Interfaces or Wearable
devices(notification, information, alerting,…)
Robots
15. Steps of ambient intelligence
Interacting with Users
Traditional user interfaces: web, mobiles
Home fixtures
Natural user interfaces:
Speech, gesture, body motion tracking,
emotions, facial expressions, attention,…
Interaction bypasses ICT
equipment(“disappearing computer”)
16. Applications
Smart Homes:
Ambient Intelligence is allowing the home
itself to possess intelligence and make
decisions regarding its state and interactions
with its residents.
Health – Related Applications:
Hospitals can increase the efficiency of their
services by monitoring patients’ health and
progress by performing automatic analysis of
activities in their rooms.
17. Applications
Public Transportation sector:
Public transport can benefit from extra
technology including satellite services, GPS-
based spatial location, vehicle identification,
image processing and other technologies to
make transport more fluent and hence more
efficient and safe.
Education Services:
Education-related institutions may use
technology to create smart classrooms where
the modes of learning are enhanced.
18. Applications
Emergency services:
Safety-related services like fire brigades can
improve the reaction to a hazard by locating
the place more efficiently and also by
preparing the way to reach the place in
connection with street services.
19. Applications
Production-oriented places:
Companies can use RFID sensors to tag
different products and track them along the
production and commercialization processes.
This allows identifying the product path from
production to consumer and helps improving
the process by providing valuable information
for the company on how to react to favorable
demand and unusual events like products that
become unsuitable for sale.
20. Advantages
Reduced Human Efforts and machine
interactions.
Increased Information, Connectivity and
Leisure
Future Ready Ambience.
22. Research Work
Internet Fridge
Karotz
Moores Cloud
HomeOS
SmartTvs
CeNSE
Connected Cars
23. Future Scope
Many AmI applications relying upon wireless
sensors are at the mercy of the battery life for
the sensors.
Challenge is to model multiple residents in an
environment.
Challenge for AmI researches is to design self-
testing and self-repairing AmI software.
Issues related to security and privacy for AmI
systems.
24. Conclusion
Ambient Intelligence is establishing fast as an
area where a confluence of topics can coverage
to help society through technology. There are
still many challenges ahead and improvements
are needed at all levels: infrastructure,
algorithms and human-computer interaction for
AmI systems to be widely accepted and more
important of all, be useful to society.