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Ambient Intelligence made by Shifali Jindal

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Ambient Intelligence

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Ambient Intelligence made by Shifali Jindal

  1. 1. AMBIENT INTELLIGENCE Presented By: Shifali Jindal
  2. 2. Contents  Introduction  History  Key Characteristics  Architecture  Technologies  Steps of Ambient Intelligence  Applications  Advantages  Issues  Research Work  Future Scope  Conclusion  References
  3. 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. 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. 5. KEY CHARACTERISTICS  Human Centric technologies that are: Embedded Context Aware Personalized Adaptive Anticipatory
  6. 6. Architecture  An Holistic Approach
  7. 7. Architecture  Technological Perspective
  8. 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. 9. Technologies  Other technologies used for implementing AmI are: Bluetooth Low Energy RFID Ict Implant Sensors Software Agents Affective Computing Nanotechnology Biometrics
  10. 10. Technologies
  11. 11. Steps of ambient intelligence  Main Steps for AmI:
  12. 12. Steps of ambient intelligence  Sensing Sensors Ambient or body
  13. 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. 14. Steps of ambient intelligence  Acting  Home automation systems(lights, doors, windows, temperature,…)  User Interfaces or Wearable devices(notification, information, alerting,…)  Robots
  15. 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. 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. 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. 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. 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. 20. Advantages  Reduced Human Efforts and machine interactions.  Increased Information, Connectivity and Leisure  Future Ready Ambience.
  21. 21. Issues  Privacy and security.  Interoperability.  Reliability.  Resource constraints.
  22. 22. Research Work  Internet Fridge  Karotz  Moores Cloud  HomeOS  SmartTvs  CeNSE  Connected Cars
  23. 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. 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. 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

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