Ambient intelligence is an emerging discipline that brings intelligence to everyday environments through hidden interfaces that recognize users and adapt to their needs. It is built on technologies like ubiquitous computing, communication and intelligent user interfaces. The key steps involve sensing a user's environment and activities, reasoning to interpret context and predict needs, and acting by automating systems or providing notifications. Applications include smart homes, healthcare, transportation, education and more. Challenges remain around privacy, interoperability, reliability and resource constraints.

1. AMBIENT INTELLIGENCE
Presented
By:
Shifali Jindal

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

6. Architecture
 An Holistic Approach

7. Architecture
 Technological Perspective

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

10. Technologies

11. Steps of ambient intelligence
 Main Steps for AmI:

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.

21. Issues
 Privacy and security.
 Interoperability.
 Reliability.
 Resource constraints.

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.

25. Reference
 www.jaise-journal.org
 www.dke.univie.ac.at/extern/bi.../ss2002/Ambi
ent-Intelligence.pdf
 www.irisa.fr/lande/lande/icse-
proceedings/icse/p43.pdf