Ambient Intelligence: An Overview

http://elite.polito.it
AMBIENT INTELLIGENCE
AN OVERVIEW
Luigi De Russis
@luigidr

Luigi De Russis
@luigidr
AN OVERVIEW

Internet of Things /
Smart Devices
Home Automation /
Smart Home
TECHNOLOGY TRENDS

SMART DEVICES
for the home and the office
IoT
Smart
Home

SMART HOME, EXEMPLIFIED
technology-oriented approach
https://www.youtube.com/watch?v=X604TGDgTVA

SMART (?) HOME
https://www.youtube.com/watch?v=_CQA3X-qNgA
where is the "smartness"?!?

THIS IS NOT
* this is a first step in the "right" direction, only

A VISION OF THE FUTURE
https://www.youtube.com/watch?v=NjYTzvAVozo
look at the overall concept,
not at the details!

MY FRIENDS CALL ME AMI

why

why
AmI is
people-
oriented

why
what
AmI is
people-
oriented

sensitive
intelligent
responsive
adaptive
ubiquitous
transparent

sensitive
intelligent
ubiquitous
transparent
Able to sense the
environments and its
inhabitants.
Able to process
sensor data.
responsive
adaptive

sensitive
intelligent
ubiquitous
transparent responsive
adaptive
Able to respond to
user needs.
Able to act on the
environment.

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

sensitive
intelligent
ubiquitous
"The most profound
technologies are those
that disappear. They
weave themselves
into the fabric of
everyday life until they
are indistinguishable
from it."
Mark Weiser
adaptive

sensitive
intelligent
ubiquitous
Present, appearing,
found everywhere.
Able to be
distributed over the
ambient and over
different people.
adaptive

sensitive
intelligent
ubiquitous
Incorporates Artificial
Intelligence:
- Machine learning, agent-
based software, robotics
- Hearing, vision,
language, knowledge
processing
- Semantic web, reasoning
adaptive

sensitive
intelligent
responsive
adaptive
ubiquitous
transparent
OK, IT'S TIME TO COOK!

MAIN STEPS
TOWARD A SUCCESSFUL AMI SYSTEM

MAIN STEPS
Sensing
Acting
ReasoningInteracting

MAIN STEPS
Sensing
Acting
Needed to provide
responsiveness and
adaptability.
Model, interpret and
recognize context, users
and their activities.
Make decisions, e.g.,
acting vs. suggesting.

HOW FAR ARE WE?
THE RESEARCH WORLD IN 2015
sensitive
intelligent
responsive
adaptive
ubiquitous
transparent
Sensing
Acting

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

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

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

INTELLIGENT
ENVIRONMENTS
GROUP
http://ieg.essex.ac.uk/
RESPONSIVE
ENVIRONMENTS
MIT Media Lab
http://resenv.media.mit.edu
CASAS
Center for Advanced
Studies in Adaptive
Systems
http://casas.wsu.edu/
GOODIES
Research GrOup On
Development of
Intelligent
EnvironmentS
http://ie.cs.mdx.ac.uk/

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/

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/
Public showcase of students'
projects to be held on
September 29, 2015 (in the
evening) at I3P
You are kindly invited!

E-LITE
Intelligent and
Interactive
Systems
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

E-LITE
Intelligent and
Interactive
Systems
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

E-LITE
Intelligent and
Interactive
Systems
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.

E-LITE
Intelligent and
Interactive
Systems
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

THANKS!
QUESTIONS?
Luigi De Russis
@luigidr
luigi.derussis@polito.it

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