Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.

1. AMBIENT INTELLIGENCE
Presented by
MANEESH B.S
Seminar
On

2. INTRODUCTION
VISION
TechnologiesUsedin AmI
SYSTEMFLOW
SCENARIOS
Componentsof AmI system
APPLICATIONS
Future
CHALLENGES
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3. ABSTRACT
Ambient intelligence(AmI)
is an emerging discipline that brings
intelligence to our every-day environments
and makes 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. Intelligence
The ability to learn
from experience, solve
problems, and use
knowledge to adapt to
new situations.

5. What’s involved in Intelligence?
 Ability to interact with the real world
 to understand, and act
 e.g., speech recognition and understanding
 e.g., image understanding
 e.g., ability to take actions, have an effect
 Reasoning and Planning
 modeling the external world, given input
 solving new problems, planning, and making decisions
 ability to deal with unexpected problems.
 Learning and Adaptation
 we are continuously learning and adapting
 our internal models are always being “updated”
 e.g., a baby learning to categorize and recognize animals

6. What is Artificial Intelligence?
John Mc Carthy
Artificial Intelligence is a branch of
Science Which deals with helping
machines find solution to complex
problem in a more human-like
fashion.
JOHN Mc CARTHY
regarded as the
FATHER of AI.
According to John Mc Carthy, “
The science and engineering of
making intelligent machine.”
The study and design of Intelligent Agent.

7. Academic Disciplines relevant to AI
 Philosophy Logic, methods of reasoning, foundations of
learning, language, rationality.
 Mathematics Formal representation and proof, algorithms,
computation.
 Probability/ modeling, learning from data
Statistics
 Economics utility, decision theory.
 Neuroscience neurons as information processing units.
 Psychology how do people behave, represent knowledge.
 Computer building fast computers
engineering
 Control theory design systems that maximize an
objective function over time

17. AMBIENT INTELLIGENCE: VISION
 Ambient Intelligence (AmI) will radically change how people interact with
technology.
 In AmI, people will be surrounded by a multitude of interconnected
embedded systems.
 These devices will be able to locate and recognize objects and people, as
well as people’s intentions.
 These interfaces recognize and respond to the presence and behaviors of
an individual in a personalized and relevant way.
 The vision of AmI is characterized by two key features:
* Intelligence
* Embedding
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25. INTRODUCTION
 Ambient Intelligence is a multi-disciplinary approach which aims to enhance
the way environments and people interact with each other.
 enriching an environment with technology
 a system can be built to take decisions to benefit the users of that
environment based on real-time information gathered and historical data
accumulated.
 The ultimate goal of the area is to make the places we live and work in more
beneficial to us.
 The achievement of Ambient Intelligence largely depends on the technology
deployed as well as on the intelligence of the software used for decision-
making.
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26. Technologies Used in AmI
 Radio Frequency Identification
 Microchip implant (human)
 Sensor
 Affective Computing
 Nanotechnology
 Biometrics
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27. Radio Frequency Identification
 Radio-frequency identification (RFID) is the use of a wireless non-
contact system that uses radio-frequency electronic fields to
transfer data from a tag attached to an object
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28. Microchip implant (human)
 A human microchip implant is an integrated circuit device or
RFID transponder encased in silicate glass and implanted in the body of
a human being. A typically contains a unique ID number that can be
linked
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29. Sensor
 A sensor is also called detector which is a convector that
measures a physical quantity and converts it into a signal
which can be read by an observer .
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30. Affective Computing
 Affective computing is the study and development of systems and
devices that can recognize human Affects
 Affecting computing is the machine should interpret the emotional
state of humans and adapt its behavior to them, giving an
appropriate response for those emotions.
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31. Nanotechnology
 Nanotechnology may be able to create many new materials and devices with a vast range
of medicine , electronics.
 nanotechnology is a relatively recent development in scientific research.
 These technology can be included in ambient intelligent technology.
Biometrics
 Biometrics refers to the identification of humans by their characteristics.
 A physiological biometric would identify by one’s voice ,DNA,hand print or behavioral.
 Behavioral biometrics are related to the behavior of a person. 31

32. Relation between AMI and other Computer Science areas
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33. SYSTEMFLOW
 sensors and devices to surround occupants of an environment with technology
that can provide accurate feedback to the system on the different contexts
which are continuously developing.
 The information collected has to be transmitted by a network and pre-
processed by what is called middleware.
 Active Database where the events are collected to record sensors that have
been stimulated and a reasoner which will apply spatio-temporal reasoning
and other techniques to take decisions
 As the interactors perform their tasks, some of these tasks will trigger sensors
and those in turn will activate the reasoning system
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34. 34

35. Smart Homes: example
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36. Technology available today is rich. Several artifacts and items in
a house can be enriched with sensors to gather information about
their use and in some cases even to act independently without
human intervention.
=>Examples
*electrodomestics (e.g., cooker and fridge)
* household items (e.g., taps, bed and sofa) and
* temperatur handling devices (e.g., air conditioning and radiators).
BENEFITS
 increased safety (e.g., by monitoring lifestyle patterns or the latest activities and
providing assistance when a possibly harmful situation is developing),
 comfort(e.g., by adjusting temperature automatically)
 economy (e.g., controlling the use of lights). 36

37. SCENARIOS
 Scenario 1: Smart Home.
=> environment is the house,
including the backyard and a portion of
the front door as these areas also have
sensors. Objects are plants, furniture, and
so on
 Scenario 2: Hospital room
=> where a patient is monitored
for health and security reasons.
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38.  Scenario 3: Underground station equipped with location sensors
to track the location of each unit in real-time.
 Scenario 4: School
=>where students are monitored on balancing their learning
experience.The objects within a classroom or play ground are tables and other
available elements. The interactors are students and teachers.
 Scenario 6: Production Line.
 =>sensors can track the flow of items at critical bottlenecks in the
system and the system can compare the current flow with a desired benchmark.
 Scenario 7: Public Surveillance.
 =>Streets can be equipped with sensors to measure passage of traffic
within the areas through which the fire brigade truck might go through in order
to reach the place where the emergency is located. 38

39. Components of AmI system
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Ambient
Intelligence
Intelligence
• Recognize the people that live in it,
adapt themselves to them, learn from
their behavior, and possibly show
emotion.
Ubiquity
• Surrounded by a multitude of
interconnected embedded
systems
Distribution
• Non-central systems control and computation

41. Ubiquitous computing
 any computing technology that permits human interaction away from a single
workstation.
 This includes pen-based technology, hand-held or portable devices, large-scale
interactive screens, wireless networking infrastructure, and voice or vision
technology
 In its ultimate form, ubiquitous computing means any computing device, while
moving with you, can build incrementally dynamic models of its various
environment and configure its services accordingly.
 The devices will be able to either "remember" past environments they operated
in, or proactively build up services in new environments 41

43. Ubiquitous communication
 introduction and expansion of wireless network technology
 enables flexible communication between interlinked devices that can be stationed in
various locations or can even be portable
User adaptive interfaces
 create a perceptive computer environment rather than one that relies solely on
active and comprehensive user input
 categories:
 Visual recognition (e.g. face, 3D gesture, and location) and output
 Sound recognition (e.g. speech, melody) and output
 Scent recognition and output
 Tactile recognition and output 43

44. APPLICATIONS
 Health-related applications
Hospitals can increase the efficiency of their services by monitoring patients’s health
and progress by performing automatic analysis of activities in their rooms.
 Public transportation sector
satellite services, GPS-based spatial location, vehicle identification, image processing
 Education services.
Education-related institutions may use technology to track studentsprogression on their
tasks, frequency of attendance
 Emergency services.
fire brigades can improve the reaction to a hazard by locating the place more efficiently
 Production-oriented places
Production-centred places like factories can self-organize according to the
production/demand ratio of the goods produced. 44

45. CHALLENGES
 Augment objects/environments with sensing, computing &
networking capability
 Sense & model the user’s behavior (offline/online)
 Infer the user’s current interests/intentions
 Design (proactive) interfaces that offer value without being
obnoxious, while being highly relevant
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51. future
 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.
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52. CONCLUSIONS
 AmI has a strong emphasis on forcing computing to make an effort to
reach and serve humans.
 This may sound the obvious expectation from computing systems but
the reality is that so far humans have to do the effort to specialize
themselves in order to enjoy the advantages of computing.
 It is expected that enforcing this requirement at the core of the area
will constitute a major driving force and a turning point in the history
of computer science.
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