Ambient intelligence (AmI)
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Ambient Intelligence (AMI) focuses on creating intelligent environments that adapt to human needs using advanced technologies such as sensors and AI. It aims to enhance interactions between individuals and their surroundings through personalized responses, facilitating applications in various sectors like health, education, and public safety. Future challenges include improving the technology's adaptability, addressing privacy concerns, and ensuring longevity of embedded systems.
Ambient intelligence (AmI)
- 1. AMBIENT INTELLIGENCE Presented by MANEESH B.S Seminar On
- 2. INTRODUCTION VISION TechnologiesUsedin AmI SYSTEMFLOW SCENARIOS Componentsof AmI system APPLICATIONS Future CHALLENGES 2
- 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 17
- 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. 25
- 26. Technologies Used in AmI Radio Frequency Identification Microchip implant (human) Sensor Affective Computing Nanotechnology Biometrics 26
- 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 27
- 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 28
- 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 . 29
- 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. 30
- 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 32
- 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 33
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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. 37
- 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 39 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 45
- 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. 51
- 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. 52