AMBIENT INTELLIGENCE

Presented

By:

Shifali Jindal

Contents

Introduction

History

Key Characteristics

Architecture

Technologies

Steps of Ambient Intelligence

Applications

Advantages

Issues

Research Work

Future Scope

Conclusion

References

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.

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.

KEY CHARACTERISTICS

Human Centric technologies that are:

Embedded

Context Aware

Personalized

Adaptive

Anticipatory

Architecture

An Holistic Approach

Architecture

Technological Perspective

Technologies

Ambient Intelligence builds on three recent keytechnologies:

Ubiquitous Computing means integration ofmicroprocessors into everyday objects likefurniture, clothing, white goods, toys, even paint.

Ubiquitous Communication enables theseobjects to communicate with each other and theuser by means of ad-hoc and wireless networking.

An Intelligent User Interface enables theinhabitants of the AmI environment to control andinteract with the environment in a natural (voice,gestures) and personalized way (preferences,context).

Technologies

Other technologies used for implementing AmIare:

Bluetooth Low Energy

RFID

Ict Implant

Sensors

Software Agents

Affective Computing

Nanotechnology

Biometrics

Technologies

Steps of ambient intelligence

Main Steps for AmI:

Steps of ambient intelligence

Sensing

Sensors

Ambient or body

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

Steps of ambient intelligence

Acting

Home automation systems(lights, doors,

windows, temperature,…)

User Interfaces or Wearable

devices(notification, information, alerting,…)

Robots

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”)

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.

Applications

Public Transportation sector:

Public transport can benefit from extratechnology including satellite services, GPS-based spatial location, vehicle identification,image processing and other technologies tomake transport more fluent and hence moreefficient and safe.

Education Services:

Education-related institutions may usetechnology to create smart classrooms wherethe modes of learning are enhanced.

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.

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.

Advantages

Reduced Human Efforts and machine

interactions.

Increased Information, Connectivity and

Leisure

Future Ready Ambience.

Issues

Privacy and security.

Interoperability.

Reliability.

Resource constraints.

Research Work

Internet Fridge

Karotz

Moores Cloud

HomeOS

SmartTvs

CeNSE

Connected Cars

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.

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.

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