The document provides an overview of ambient intelligence (AmI) and discusses related technology trends. It defines AmI as sensitive, intelligent, responsive, adaptive, ubiquitous and transparent systems that are able to sense and understand their environment in order to respond to the needs of people in an unobtrusive way. The document outlines some of the main research areas in AmI, including smart homes and notifications, and provides examples of university projects developing AmI technologies and applications.
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.
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.
Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.
Engineering Ambient Intelligence Systems using Agent TechnologyNikolaos Spanoudakis
This presentation was given at the nectar session of the 9th Hellenic Conference on Artificial Intelligence (SETN 2016) that took place on May18th- 20th in Thessaloniki.
It is about applying an agent-oriented software engineering (AOSE) methodology, i.e. the Agent Systems Engineering Methodology (ASEME) for building intelligent systems. We present it along with a case study in the Ambient Intelligence (AmI) Application Domain. We discuss the challenges, the ASEME Methodology, the System Architecture and our results.
Ambient Intelligence perspective from IoT insightPrasan Dutt
This presentation was given to National Institute of Technology, Tiruchirapally (NITT) during Version'16 which is an all India MCA meet. The theme of the meet was Ambient Intelligence which was termed as WITURA by organizing team.
(There is not any copyright violation intended in this slide and purely intended for educational purpose. )
PowerOnt: an ontology-based approach for power consumption estimation in Smar...Luigi De Russis
Presentation given at the 1st Cognitive Internet of Things Technologies (COIOTE 2014)
October 27, 2014, Rome, Italy
The paper is available on the PORTO open access repositor of Politecnico di Torino: http://porto.polito.it/2570936/
The Internet of Things, Ambient Intelligence, and the Move Towards Intelligen...George Vanecek
With the successful adoption of cloud-based services and the increasing capabilities of smart connected/wireless devices, the software and consumer electronics industries are turning towards innovating solutions within the Internet-of-Things (IoT) to offer consumers (and enterprises) smart solutions that take the dynamics of the real-world into consideration.
The vision is to bring the awareness of what happens in the real-world, how people live and how smart devices operate in the real world into the view and control of the digital world. Here the digital world is the totality of the Internet, the Web, and the private and public cloud services.
In this session, we will look at key technical trends and their increasing interdependency in the areas of real-world Sensing, Perception, Machine Learning, Context-awareness, dynamic Trust Determination, Semantic Web and Artificial Intelligence which are now enabling ambient intelligence and driving the emergence of Intelligence Systems within the Internet of Things. We will also look at the challenges that such interdependencies expose, and the opportunities that their solutions offer to the industry.
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Adaptive Ambient Intelligence and Smart EnvironmentsAhmad Lotfi
Ambient Intelligence is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapt according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce the energy consumption, increase user’s comfort, improve security and productivity, etc. One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with disabilities. In my presentation, I will provide a review of the technologies and environments that comprises ambient intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence is a concept of future environment near us, with ubiquitous means hidden computing around us without electronics being visible...the future the way you everybody wants: ).
Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.
Engineering Ambient Intelligence Systems using Agent TechnologyNikolaos Spanoudakis
This presentation was given at the nectar session of the 9th Hellenic Conference on Artificial Intelligence (SETN 2016) that took place on May18th- 20th in Thessaloniki.
It is about applying an agent-oriented software engineering (AOSE) methodology, i.e. the Agent Systems Engineering Methodology (ASEME) for building intelligent systems. We present it along with a case study in the Ambient Intelligence (AmI) Application Domain. We discuss the challenges, the ASEME Methodology, the System Architecture and our results.
Ambient Intelligence perspective from IoT insightPrasan Dutt
This presentation was given to National Institute of Technology, Tiruchirapally (NITT) during Version'16 which is an all India MCA meet. The theme of the meet was Ambient Intelligence which was termed as WITURA by organizing team.
(There is not any copyright violation intended in this slide and purely intended for educational purpose. )
PowerOnt: an ontology-based approach for power consumption estimation in Smar...Luigi De Russis
Presentation given at the 1st Cognitive Internet of Things Technologies (COIOTE 2014)
October 27, 2014, Rome, Italy
The paper is available on the PORTO open access repositor of Politecnico di Torino: http://porto.polito.it/2570936/
The Internet of Things, Ambient Intelligence, and the Move Towards Intelligen...George Vanecek
With the successful adoption of cloud-based services and the increasing capabilities of smart connected/wireless devices, the software and consumer electronics industries are turning towards innovating solutions within the Internet-of-Things (IoT) to offer consumers (and enterprises) smart solutions that take the dynamics of the real-world into consideration.
The vision is to bring the awareness of what happens in the real-world, how people live and how smart devices operate in the real world into the view and control of the digital world. Here the digital world is the totality of the Internet, the Web, and the private and public cloud services.
In this session, we will look at key technical trends and their increasing interdependency in the areas of real-world Sensing, Perception, Machine Learning, Context-awareness, dynamic Trust Determination, Semantic Web and Artificial Intelligence which are now enabling ambient intelligence and driving the emergence of Intelligence Systems within the Internet of Things. We will also look at the challenges that such interdependencies expose, and the opportunities that their solutions offer to the industry.
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Adaptive Ambient Intelligence and Smart EnvironmentsAhmad Lotfi
Ambient Intelligence is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapt according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce the energy consumption, increase user’s comfort, improve security and productivity, etc. One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with disabilities. In my presentation, I will provide a review of the technologies and environments that comprises ambient intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence is a concept of future environment near us, with ubiquitous means hidden computing around us without electronics being visible...the future the way you everybody wants: ).
Presentation given at the seminar "Humans - Eperiences toward the metadesign dimension" at Politecnico di Torino, on 2016-01-08.
For more info about the seminar: http://www.politocomunica.polito.it/events/appuntamenti/(id_news)/7137?fb_action_ids=1040619222668718
For info about the Ambient Intelligence course: http://bit.ly/polito-ami
For info about the e-Lite research group: http://elite.polito.it/
Presentation video (in Italian): https://youtu.be/cBkJK6q3wC4
In this era of Digitization and Automation, the life of human beings is getting simpler as almost everything is automatic, replacing the old manual systems. Nowadays humans have made internet an integral part of their everyday life without which they are helpless. Internet of things IOT provides a platform that allows devices to connect, sensed and controlled remotely across a network infrastructure. Our project basically focuses on Laboratory automation using smart phone and computer. The IOT devices controls and monitors the electronic electrical and the mechanical systems used in various types of buildings. The devices connected to the cloud server are controlled by a single admin which facilitate a number of users to which a number of sensor and control nodes are connected. The system designed is economical and can be expanded as it allows connection and controlling of a number of different devices. Deepak Adhav | Rahul Pagar | Ravi Sonawane | Sachin Tawade ""Smart Laboratory"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22840.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/22840/smart-laboratory/deepak-adhav
Iot mirror but can u add artificia @1000KV Technologies 90308448771000kv technologies
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[DevDay2019] Internet of Things- By: Dr. Anand Nayyar at Duy Tan UniversityDevDay.org
In this lecture, he will start by elaborating the term “Internet of Things” along with current technological trends which has led to IoT, define the impact of IoT on Society making a strong base for Smart Cities, Industries- Transforming into Industry 4.0, Medical IoT as well as Future transformations in IoT.
“Brilliantreflect”: smart mirror for smart lifeIJECEIAES
In this globalization era, smart mirror have been one of the invention to represent futuristic interconnected physical object with several applications. Smart mirror is innovating appliance that incorporates with contextual information which offered the interactive user interface on the surface of a mirror with the use of Raspberry Pi 3. To create this smart mirror the methodology that includes analysis about smart mirror, designing the hardware and software, developing the prototype, implementation and lastly the evaluation phases needs to be take care of. The presentation performed on the mirror will be information such as weather, time and date, holiday calendar, to-do list by mobile synchronization, current traffic of selected area, news feed and compliment as a motivation. Furthermore, our framework also introduces music presentation that use for alarm purpose. In a nutshell, this mirror what we called “Brilliant Reflect” will be convenient to use as it provides various features to the user.
Enacting Emergent Configurations in the IoT through Domain Objectsantbucc
In this paper, we: (i) present the IoT-FED architectural
approach to enable the automated formation and enactment of ECs. IoT-FED exploits heterogeneous and independently developed things, IoT services, and applications which are modeled as Domain Objects (DOs), a service-based
formalism. Additionally, we (ii) discuss the prototype we developed and the experiments run in our IoT lab, for validation purposes
The current landscape of Internet of Things (IoT) applications is extremely fragmented because we are still experimenting to discover the correct mix for our respective markets. Unfortunately in the IoT world, one solution does not fit all.We need much more clarity in understanding the challenges of IoT application development, both in terms of technical feasibility as well as business opportunities. In our talk we present a toolkit approach towards accelerating IoT applications by leveraging modular components that can effectively accelerate go to market for end solutions.
Build an application upon Semantic Web models. Brief overview of Apache Jena and OWL-API.
Semantic Web course
e-Lite group (https://elite.polito.it)
Politecnico di Torino, 2017
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
Short seminar about the Semantic Web for the "Artificial Intelligence" course at Politecnico di Torino (academic year 2012/2013)
An updated version is available at http://www.slideshare.net/luigidr/semantic-web-an-introduction
An overview on social network technologies: are they "typical" website? Or do they work in a different way? How many and what technologies do Facebook and Instagram use?
Presentation made for the Multimedia Languages and Environments course at Politecnico di Torino (academic year 2013/2014).
A brief overview about writing clean code. Presentation made for the Multimedia Languages and Environments course at Politecnico di Torino (academic year 2012/2013).
dWatch: a Personal Wrist Watch for Smart EnvironmentsLuigi De Russis
Presentation given at the 3rd International Conference on Ambient Systems, Networks and Technologies
August 27-29, 2012, Niagara Falls, Ontario, Canada.
The paper is available on the PORTO open access repository: http://porto.polito.it/2496719/
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
22. sensitive
intelligent
ubiquitous
transparent
Able to infer a situational context:
- from environment data
- from user data (identity, presence,
actions, …)
- from statistics and preferences
- from external information sources
Able to adapt to the context, by
means of the interpretation of
sensing and the generated response
responsive
adaptive
28. MAIN STEPS
TOWARD A SUCCESSFUL AMI SYSTEM
Sensing
Acting
ReasoningInteracting
29. MAIN STEPS
TOWARD A SUCCESSFUL AMI SYSTEM
Sensing
Acting
ReasoningInteracting
30. MAIN STEPS
TOWARD A SUCCESSFUL AMI SYSTEM
Sensing
Acting
ReasoningInteracting
Needed to provide
responsiveness and
adaptability.
Model, interpret and
recognize context, users
and their activities.
Make decisions, e.g.,
acting vs. suggesting.
31. MAIN STEPS
TOWARD A SUCCESSFUL AMI SYSTEM
Sensing
Acting
ReasoningInteracting
32. MAIN STEPS
TOWARD A SUCCESSFUL AMI SYSTEM
Sensing
Acting
ReasoningInteracting
33. HOW FAR ARE WE?
THE RESEARCH WORLD IN 2015
sensitive
intelligent
responsive
adaptive
ubiquitous
transparent
Sensing
Acting
ReasoningInteracting
34. AIR LAB
Ambient
Intelligence
Research Lab
Energy-Efficient User-centric Light Control in
Smart Homes
This project is based on the use of cameras and a distributed
processing method for automated control of lights in a smart
home. The implemented optimization formulations maintain
the user's comfort while reducing the energy cost of lights.
Information from camera sensors provides occupancy
reasoning and human activity analysis. By employing the user's
positions, activities, and preference as constraints, the system
optimizes the light setting for the user's satisfaction in the
occupied area.
Reinforcement Learning for Ambient Intelligent
Atmospheric Lighting and Music
The goal is to create a user-centric methodology for adaptation of
system services based on accumulated knowledge about the user
preferences. These preferences are learned through user's explicit or
implicit feedback to the system when the user opts to react to the
provided service. As a result, the system adapts to provide the most
satisfactory background music and ambient lighting to the user. In
our approach, the system gains intelligence through observing the
user, interacting with the user, and exploring the user's interests via
mutual discovery mechanisms. Context is inferred not just through
generic data such as time of the day, but also via detecting user-
specific situation such as location, activity, or event.
http://airlab.stanford.edu
35. CHANGING
PLACES
MIT Media Lab
CityHome
The CityHome Lab is a 200 square-foot Living Laboratory designed to develop, deploy,
test, and evaluate strategies for "living large in a small space", with a focus on the
mechatronics of hyper-efficient transformable infill, new home interfaces, and
technologies related to distributed work, proactive health, energy conservation,
entertainment, and communication. The integration of these new systems and
technologies creates urban dwellings that function as if they were much larger, minimize
resource consumption, and develop rich living experiences for their occupants.
http://cp.media.mit.edu
https://www.youtube.com/watch?v=f8giE7i7CAE
36. FLUID
INTERFACES
MIT Media Lab
Reality Editor
The Reality Editor is a system that supports editing the
behavior and interfaces of so-called "smarter objects", i.e.
objects or devices that have an embedded processor and
communication capability. Using augmented reality
techniques, the Reality Editor maps graphical elements
directly on top of the tangible interfaces found on physical
objects, such as push buttons or knobs. The Reality Editor
allows flexible reprogramming of the interfaces and
behavior of the objects as well as defining relationships
between smarter objects in order to easily create new
functionalities.
Video: https://vimeo.com/74073989
http://fluid.media.mit.edu
AutoEmotive
Regardless of the emotional state of drivers, current cars
feel impassive and disconnected. We believe that by
adding emotion-sensing technologies inside the car, we
can dramatically improve the driving experience while
increasing the safety of drivers. This work explores the
landscape of possible applications when incorporating
stress-sensing devices in the car.
Video: https://vimeo.com/85856989
38. E-LITE
Intelligent and
Interactive
Systems
Ambient Intelligence Course
Third year, elective course, for all the Engineering degree. In English.
The course aims at describing, from an experimental point of view, the field of Ambient
Intelligence, outlining its multi-disciplinary nature as well as its technology and
application areas.
Special emphasis, on the course, will be devoted to design-related aspects and on the
overall hardware-software architecture, besides reviewing the involved technologies. This
will enable students to design and realize reusable and interoperable solutions, and to
collaboratively build a working prototype of an AmI system, in the laboratory.
Projects website: http://ami-2015.github.io/, about a "Smart Politecnico"
2014 projects: http://ami-2014.github.io/
http://elite.polito.it
39. E-LITE
Intelligent and
Interactive
Systems
Ambient Intelligence Course
Third year, elective course, for all the Engineering degree. In English.
The course aims at describing, from an experimental point of view, the field of Ambient
Intelligence, outlining its multi-disciplinary nature as well as its technology and
application areas.
Special emphasis, on the course, will be devoted to design-related aspects and on the
overall hardware-software architecture, besides reviewing the involved technologies. This
will enable students to design and realize reusable and interoperable solutions, and to
collaboratively build a working prototype of an AmI system, in the laboratory.
Projects website: http://ami-2015.github.io/, about a "Smart Politecnico"
2014 projects: http://ami-2014.github.io/
http://elite.polito.it
Public showcase of students'
projects to be held on
September 29, 2015 (in the
evening) at I3P
You are kindly invited!
40. E-LITE
Intelligent and
Interactive
Systems
http://elite.polito.it
HomeRules
A considerable amount of research has been carried out towards enabling average
users to customize their smart homes through trigger-action ("if... then...")
programming. However, inhabitants of such smart environments keep having problems
understanding, administering, troubleshooting, and deriving benefits from the
technologies employed in their homes.
HomeRules is a mobile and tangible application for end-user programming in smart
homes.
Video: https://www.youtube.com/watch?v=hswwY8j3yoI
41. E-LITE
Intelligent and
Interactive
Systems
http://elite.polito.it
HomeRules
A considerable amount of research has been carried out towards enabling average
users to customize their smart homes through trigger-action ("if... then...")
programming. However, inhabitants of such smart environments keep having problems
understanding, administering, troubleshooting, and deriving benefits from the
technologies employed in their homes.
HomeRules is a mobile and tangible application for end-user programming in smart
homes.
Video: https://www.youtube.com/watch?v=hswwY8j3yoI
Thesis
available on
this topic
42. E-LITE
Intelligent and
Interactive
Systems
http://elite.polito.it
Smarter Notifications
In the Internet of Things (IoT) world, we are under a constant stream of messages,
coming from various "smart objects" (e.g., thermostats, washing machines, weather
stations, activity trackers, drink trackers) and from different services and Social Network
(like Facebook, Twitter, WhatsApp, e-mail, etc.). All these notifications may be interesting
by themselves, but taken together they risk to be a constant distraction and annoyance.
Moreover, they are "raw data", typically, from which we cannot immediately derive any
suggestion or pattern for personal improvements or for a better understanding of
some aspects of our life. Things become further complicated by the presence of "smart
objects" that are shared between groups of people or family members (like a TV or a
washing machine). Thus, data coming from such devices/appliances can affect multiple
persons and their behaviors.
We are working on a Smart Notification system, able to deliver the "right" notification,
to the "right" person (or people), in the "right" moment, according to users'
preferences, activities and to the notification characteristics.
43. E-LITE
Intelligent and
Interactive
Systems
http://elite.polito.it
Smarter Notifications
In the Internet of Things (IoT) world, we are under a constant stream of messages,
coming from various "smart objects" (e.g., thermostats, washing machines, weather
stations, activity trackers, drink trackers) and from different services and Social Network
(like Facebook, Twitter, WhatsApp, e-mail, etc.). All these notifications may be interesting
by themselves, but taken together they risk to be a constant distraction and annoyance.
Moreover, they are "raw data", typically, from which we cannot immediately derive any
suggestion or pattern for personal improvements or for a better understanding of
some aspects of our life. Things become further complicated by the presence of "smart
objects" that are shared between groups of people or family members (like a TV or a
washing machine). Thus, data coming from such devices/appliances can affect multiple
persons and their behaviors.
We are working on a Smart Notification system, able to deliver the "right" notification,
to the "right" person (or people), in the "right" moment, according to users'
preferences, activities and to the notification characteristics.
Thesis
available on
this topic
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