Ambient intelligence

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Ambient intelligence

  1. 1. WELCOME
  2. 2. AMBIENT INTELLIGENCE Presented by NIKHIL P.
  3. 3. INTRODUCTION
  4. 4. INTRODUCTION 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.
  5. 5. INTRODUCTION AmI refers to an exciting new paradigm in information technology, in which people are empowered through a digital environment that is aware of their presence and context and is sensitive, adaptive and responsive to their needs, habits, gestures and emotions. A key factor in AmI is the presence of Intelligence.
  6. 6. INTRODUCTION All this implies that the near future will bring us kitcheners that automatically switch off hot plates when we leave the apartment or, even more astonishing, TVs that automatically switch to another TV channel if it “judges” by our facial expressions that we don’t like the show which is on at the moment.
  7. 7. AmI Ambient Intelligence is based on three key technologies: ● Ubiquitous Computing, ● Ubiquitous Communication & ● Intelligent User Interfaces
  8. 8. Ubiquitous Computing Ubiquitous Computing means the integration of microprocessors into everyday objects like furniture, clothes or toys. Using ubiquitous computing, people will not be aware of the presence of computers, they will be in the background.
  9. 9. Ubiquitous Communication Ubiquitous Communication should enable these objects to communicate with each other and with the user.
  10. 10. Intelligent User Interface Intelligent User Interface enables the inhabitants of the AmI to control and interact with the environment in a natural (voice, gestures) and personalized way (preferences, context).
  11. 11. Ambient Intelligence Contributing technologies
  12. 12. AmI interaction
  13. 13. Ambient Intelligence ● Sensing ● Reasoning ● Acting
  14. 14. Generic architecture of AmI
  15. 15. Sensing ● ● ● ● Relies on sensory datas from the real world software algorithm perceives the environment and uses this information to reason about the environment and the action that can be taken to change the state of the environment Perception is accomplished using variety of sensors Sensors have been designed for position measurement, for detection of chemicals and humidity
  16. 16. Sensing ● ● ● Sensors are quite small and can be integrated into any AmI environment The sensor networks community has explored applications such as environmental monitoring, situational awareness, and structural safety monitoring A challenge particularly with wireless sensors and wireless sensor networks is resource management to support long-term data collection.
  17. 17. Sensing ● ● ● Making sense of sensor data is a complex task. Sensor data comes with unique features that challenge conventional data analysis techniques They generate large volumes of multidimensional data
  18. 18. Sensing ● User location -put sensors and cameras in the room -put all the detection and sensing hardware on the person
  19. 19. Sensing ● Status tracking -user can wear bio-metric sensors on the body -implant a micro-chip loaded with information into clothing
  20. 20. Sensing ● Analysing sensor data -centralized model(central server) -distributed model(onboard processing)
  21. 21. Reasoning ● ● Sensing and acting provide links between intelligent algorithms and the real world in which they operate. In order to make such algorithms responsive, adaptive, and beneficial to users, a number of types of reasoning must take place. -user modeling -activity prediction and recognition -decision making -spatial-temporal reasoning.
  22. 22. Reasoning User modeling ● Ability to model user behaviour ● User modelling approaches based on -data that is used -type of model that is built -nature of the model-building algorithm
  23. 23. Reasoning Activity Prediction & Recognition ● ● Ability to predict and recognize activities that occur in AmI environment Predicting resident locations, and even resident actions, allows the AmI system to anticipate the resident’s needs and assist with performing the action
  24. 24. Reasoning Decision Making ● ● Automatic decision making and control techniques are available For eg:- the AmI system may respond to a sensed health need by calling a medical specialist and sending health vitals using any available device (cell phone, email, or fax). If there is no response from the specialist, the AmI system would phone the nearest hospital and request ambulance assistance.
  25. 25. Reasoning Spatial Temporal Reasoning ● For a system to make sensible decisions it has to be aware of where the users are and have been during some period of time. These in-sights, together with other information, will provide important clues on the type of activities the user is engaged in and the most adequate response.
  26. 26. Reasoning Spatial Temporal Reasoning For eg:- Whenever someone turns on the cooker and leaves it unattended for more than 10 units of time, then the system has to take action. Consider a scenario in which
  27. 27. Acting ● ● Intelligent and assistive devices provide a mechanism by which AmI systems can execute actions and affect the system users. Another mechanism is through Robots
  28. 28. Human Computer Interaction ● AmI should be made easy to live so need to define human-centric computer interface, that are -context awareness -natural interface
  29. 29. Human Computer Interaction ● ● Context awareness” is a key to building AmI and associated applications. If devices can exploit emerging technologies to infer the current activity state of the user (e.g., whether the user is walking or driving, whether is at office, at home) and the characteristics of their environment, they can then intelligently manage both the information content and the means of information distribution. For eg:-, the embedded pressure sensors in the 'Aware Home' capture residents’ footfalls, and the home uses these data for position tracking and pedestrian recognition.
  30. 30. Human Computer Interaction ● Natural interface explicit input must now be replaced with more human-life communication capabilities and with implicit actions. The technologies including motion tracking, gesture recognition, facial expression recognition and emotion recognition, speech processing, and even whistle processing facilitate natural interactions with intelligent environments.
  31. 31. AmI ● Technical features Low cost devices They will be more specific computers for concrete applications, so they will not have the processor and hard disk requirements that general purpose computers have. High bandwidth Another requirement for ubiquitous computing is to have enough network bandwidth to allow that the communication between the different devices that are used.
  32. 32. AmI ● Technical features Low cost devices They will be more specific computers for concrete applications, so they will not have the processor and hard disk requirements that general purpose computers have. High bandwidth Another requirement for ubiquitous computing is to have enough network bandwidth to allow that the communication between the different devices that are used.
  33. 33. AmI Invisible filesystem Users should be able to access to data without knowing specific file names, location or format. Automatic Installation Some technical alternatives are the use of programming languages as Java, that are platform-independent and are moved easily from one computer to another.
  34. 34. AmI Personalize information one approach can be that every time a new person joins a community her/his personal profile needs to be added to every device. Privacy Issues system can record the actions of the users, their preferences, their locations... & some other people may access to these data. infrared or wireless radio communication use encryption to ensure security, but that is against the limited bandwidth of these technologies.
  35. 35. Privacy & Security Challenges ● ● ● AmI offers great benefits to users by customizing their environments and meeting their needs. AmI potentially gives more control to humans by making their environments more responsive to intended actions, and reducing the physical effort that is required to perform a task. At the same time, AmI can take away control when the environment performs the wrong action.
  36. 36. Privacy & Security Challenges ● ● AmI technologies can raise other security issues. At the sensor level, sensor reliability, handling errors, and installation errors can create security risks. To ensure security in sensor networks, the designer must consider these factors together with sensor communication channel reliability and security, and sensor data security.
  37. 37. AmI APPLICATIONS ● Smart Homes Ambient Intelligence is allowing the home itself to possess intelligence and make decisions regarding its state and interactions with its residents.
  38. 38. AmI APPLICATIONS ● 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
  39. 39. AmI 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.
  40. 40. AmI APPLICATIONS ● Education services: Education-related institutions may use technology to create smart classrooms where the modes of learning are enhanced
  41. 41. AmI 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.
  42. 42. AmI 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 favourable demand and unusual events like products that become unsuitable for sale
  43. 43. Ongoing Challenges ● ● ● ● 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 researchers is to design selftesting and self-repairing AmI software issues related to security and privacy for AmI systems
  44. 44. Conclusion Ambient Intelligence is establishing fast as an area where a confluence of topics can converge to help society through technology. There are still many challenges ahead and improvements are needed at all levels: infrastructure, algorithms and humancomputer interaction for AmI systems to be widely accepted and more important of all, be useful to society.
  45. 45. Reference ● www.jaise-journal.org/ ● www.dke.univie.ac.at/extern/bi.../ss2002/Ambient-Intell ● www.irisa.fr/lande/lande/icse-proceedings/icse/p43.pdf
  46. 46. THANKYOU

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