The document describes a system called PERSEO that allows for personalization of smart environments through mobile devices and smart objects. It uses a mobile-instrumented interaction method where a mobile device acts as a trigger and orchestrator. A specific use case of a "smart night table" is presented, which allows controlling devices like audio, photo frames, TV through a tablet. The architecture uses DLNA standards for content sharing and rendering between devices. An example workflow is also shown.
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MUE2012-Space-aware Design Factors for Located Learning Activities Supported ...Mar Pérez-Sanagustín
presented at the 6th International Conference on Multimedia and Ubiquitous Engineering (MUE, 2012) the paper “Space-aware Design FActors for Located Learning Activities Supported with Smart Phones” a work by Patricia Santos, Mar Pérez-Sanagustín, Davinia Hernández-Leo & Josep Blat.
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M. Sharples,J. Taylor, and G. Vavoula. Bachmair, B. (Ed.) Medienbildung in neuen Kulturr¨aumen, chapter A Theory of Learning
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SMARCOS Abstract Paper submitted to ICCHP 2012Smarcos Eu
This study is part of the European project "Smarcos" (http://www.smarcos-project.eu/) that includes among its goals the development of services which are specifically designed and accessible for blind users.
In this paper we present the prototype application designed to make the main phone features available in a way which is accessible for a blind user. The prototype has been developed to firstly evaluate the interaction modalities based on gestures, audio and vibro-tactile feedback.
Introducing a simple way of programing robots, hardware in general and various approaches developed by Microsoft Research Cambridge. The talk was held at the MSRC Christmas Lecture 2005.
Both the recent adoption of ‘smart’ mobile devices and the advances in network communications have opened up new opportunities for learning. With our mobile devices we can connect anytime and anywhere to our global identity in the cloud extending our experience with our environment. We are constantly learning in an informal process through our devices in interaction with our physical context
and with people. As Sharples (2010) states, “learning flows across locations, time, topics and technologies rather than occurring within a fixed location”. Novel applications appear everyday, which propose new forms of interactions that superimpose layers of ‘digital’ contextualized information over ‘physical’ environments opening up a new range of learning experiences. In this session, we will discuss recent theory of mobile learning and how this has changed the way we learn. We will review some of the applications developed for supporting learning in several contexts, indoors and outdoors, and how all this
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SMARCOS Abstract Paper submitted to ICCHP 2012Smarcos Eu
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In this paper we present the prototype application designed to make the main phone features available in a way which is accessible for a blind user. The prototype has been developed to firstly evaluate the interaction modalities based on gestures, audio and vibro-tactile feedback.
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Stefano Baldassi (Meta): Designing for the Future of Spatial ComputingAugmentedWorldExpo
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Stefano Baldassi (Meta): Designing for the Future of Spatial Computing
Join Meta's neuroscience team as we explore together how designing for the future of computing should be: With the human first. For the past two years, Meta's research, neuroscience, and user experience (UX) design teams have been working on design guidelines for augmented reality (AR). These guidelines were created out of our desire to contribute to the larger conversation around how AR experiences can be designed to enhance our abilities to communicate, create, and collaborate.
http://AugmentedWorldExpo.com
Ambiences on the-fly usage of available resources through personal devicesijasuc
In smart spaces such as smart homes, computation is
embedded everywhere: in toys, appliances, or the
home’s infrastructure. Most of these devices provid
e a pool of available resources which the user can
take
advantage, interacting and creating a friendly envi
ronment. The inherent composability of these system
s
and other unique characteristics such as low-cost e
nergy, simplicity in module programming, and even
their small size, make them a suitable candidate fo
r dynamic and adaptive ambient systems. This resear
ch
work focuses on what is defined as an “ambience”, a
space with a user-defined set of computational
devices. A smart-home is modeled as a collection of
ambiences, where every ambience is capable of
providing a pool of available resources to the user
. In turn, the user is supposed to carry one or sev
eral
personal devices able to interact with the ambience
s, taking advantage of his inherent mobility. In th
is way,
the whole system can benefit from resources discove
red in the spatial proximity. A software architectu
re is
designed, which is based on the implementation of l
ow-cost algorithms able to detect and update the sy
stem
when changes in an ambience occur. Ambience middlew
are implementation works in a wide range of
architectures and OSs, while showing a negligible o
verhead in the time to perform the basic output
operations.
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[SENAmI'13] PERSEO - a system to personalize the environment response through smart phones and objects
1. Grupo de Procesado de Datos y Simulación
ETSI de Telecomunicación
Universidad Politécnica de Madrid
PERSEO: a system to
Personalize the Environment Response
through Smart phonEs and Objects
SENAmI 2013
5th International Workshop on Smart Environments and Ambient Intelligence
(presented by Josué Iglesias)
Luca Bergesio, Íñigo Marquínez, Ana M. Bernardos, Juan A. Besada, José R. Casar
luca.bergesio@grpss.ssr.upm.es
2. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 1/8
3. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 1/8
4. introduction and motivation
smart
space
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 1/8
5. introduction and motivation
smart
space
smart
objects
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 1/8
6. introduction and motivation
smart space behaviour
smart personalization
space
smart
objects
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 1/8
7. introduction and motivation
smart space behaviour
smart personalization
space
focus
general approach
mobile-instrumented
smart interaction method
objects
particular implementation
device-objects
coordination for content
representation &
management
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 1/8
8. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 2/8
11. interaction method fundamentals
mobile-instrumented
concept
trigger
orchestrator
mobile device – smart object
coordinated response
logical state of mobile device
physical-based interaction
maintaining traditional interaction
paradigm
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 2/8
12. interaction method fundamentals
mobile-instrumented
concept
trigger
orchestrator
device-hosted
content sharing
audio, video, pictures, etc.
mobile device – smart object
coordinated response
logical state of mobile device
physical-based interaction
maintaining traditional interaction
paradigm
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 2/8
13. interaction method fundamentals
mobile-instrumented multiple & heterogeneous
concept smart objects interfaces
trigger TV, Hi-Fi, tablet, PC, photo frame, etc.
orchestrator
device-hosted
content sharing
audio, video, pictures, etc.
mobile device – smart object
coordinated response
logical state of mobile device
physical-based interaction
maintaining traditional interaction
paradigm
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 2/8
14. interaction method fundamentals
rule-based reasoning
ECA model
Events – Conditions – Actions
mobile-instrumented multiple & heterogeneous
concept smart objects interfaces
trigger TV, Hi-Fi, tablet, PC, photo frame, etc.
orchestrator
device-hosted
content sharing
audio, video, pictures, etc.
mobile device – smart object
coordinated response
logical state of mobile device
physical-based interaction
maintaining traditional interaction
paradigm
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 2/8
15. interaction method fundamentals
context
user context-responsive
environment context analysis before executing
etc. actions
rule-based reasoning
ECA model
Events – Conditions – Actions
mobile-instrumented multiple & heterogeneous
concept smart objects interfaces
trigger TV, Hi-Fi, tablet, PC, photo frame, etc.
orchestrator
device-hosted
content sharing
audio, video, pictures, etc.
mobile device – smart object
coordinated response
logical state of mobile device
physical-based interaction
maintaining traditional interaction
paradigm
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 2/8
16. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 3/8
17. ‘smart night table’ use case
functionalities
hi-fi audio
digital photo frame
television
‘smart
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 3/8
18. ‘smart night table’ use case
functionalities
hi-fi audio
Voice (call)
digital photo frame
Photos Music
Internet
Videos
television
‘smart
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 3/8
19. ‘smart night table’ use case
functionalities
Voice (call) Music
hi-fi audio
Voice (call)
Photos
digital photo frame
Photos Music
Internet
Videos
Videos
television
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 3/8
20. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
21. ‘smart night table’ use case
architecture & implementation
Voice (call) Music
hi-fi audio
Voice (call)
Photos
digital photo frame
Photos Music
Internet
Videos
Videos
television
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
22. ‘smart night table’ use case
architecture & implementation
Android
service
Voice (call) Music
hi-fi audio
Voice (call)
Photos
digital photo frame
Photos Music
NFC tag
Internet
Videos
Videos
television
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
23. ‘smart night table’ use case
architecture & implementation
Android
service
Voice (call) Music
hi-fi audio
Voice (call)
Photos Airplay Mirroring (Apple)
Intel Wireless Display (WiDi) digital photo frame
Wireless HD
Music
Photos
Miracast
NFC tag DLNA
Internet
Videos
(DMS) Digital Media Server
(DMR) Digital Media Renderer
Videos
(DMC) Digital Media Controller
television
maturity
interoperability
(S.O., comm. tech., brands, etc.)
certified devices
SDK available
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
24. ‘smart night table’ use case
architecture & implementation
DLNA Renderer
Android (DMR)
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
NFC tag DLNA DLNA Renderer
Videos
Internet (DMR)
(DMS) Digital Media Server ID: Renderer002
(DMR) Digital Media Renderer
Videos
(DMC) Digital Media Controller
television
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
25. ‘smart night table’ use case
architecture & implementation
Bluetooth
DLNA Renderer
Android (DMR)
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
NFC tag DLNA Renderer
Videos
Internet (DMR)
ID: Renderer002
Videos
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
26. ‘smart night table’ use case
architecture & implementation
Bluetooth
DLNA Renderer
Android (DMR)
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
NFC tag DLNA Renderer
Videos
Internet (DMR)
ID: Renderer002
Videos
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 4/8
27. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 5/8
28. ‘smart night table’ use case
example
Bluetooth
DLNA Renderer
Android (DMR)
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
1
Videos
Internet
NFC tag DLNA Renderer
(DMR)
ID: Renderer002
Videos
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 5/8
29. ‘smart night table’ use case
example
SELECT render Bluetooth
2 GET renderers
3 DLNA Renderer
(DMR)
Android
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
1
Videos
Internet
NFC tag DLNA Renderer
(DMR)
ID: Renderer002
Videos
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 5/8
30. ‘smart night table’ use case
example
Bluetooth
2
3 DLNA Renderer
(DMR)
Android
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer 4 STOP 5
render
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
1
Videos
Internet
NFC tag DLNA Renderer
(DMR)
ID: Renderer002
Videos
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 5/8
31. ‘smart night table’ use case
example
Bluetooth
6 START playing
3 DLNA Renderer
(DMR)
Android
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer 4 5
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
1 7 START playing
Videos
Internet
NFC tag DLNA Renderer
(DMR)
ID: Renderer002
Videos
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 5/8
32. ‘smart night table’ use case
example
Bluetooth
6
3 DLNA Renderer
(DMR)
Android
service ID: Renderer003
Voice (call) Music
hi-fi audio
DLNA Renderer 4 5
(DMR)
ID: Renderer001 DLNA Controller DLNA Renderer
(DMC) (DMR)
DLNA Server ID: Renderer004
Voice (call)
M-DMS RESTful API
Photos
digital photo frame
Photos Music
1 7
Videos
Internet
NFC tag DLNA Renderer
(DMR)
ID: Renderer002
Videos
Videos 8 (continuous streaming)
television
sockets
‘smart
Internet
night table’ tablet
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 5/8
33. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 6/8
34. ‘smart night table’ use case
video-demonstration
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 6/8
35. contents
introduction and motivation
interaction method fundamentals
‘smart night table’ use case
functionalities
architecture & implementation
example
video-demonstration
discussion and future works
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
36. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
37. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
smart objects orchestration architecture
mobile-centred
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
38. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
smart objects orchestration architecture
mobile-centred
mobile-instrumented interaction method
mobile media content/services ↔interface device transfer
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
39. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
smart objects orchestration architecture
mobile-centred
mobile-instrumented interaction method
mobile media content/services ↔interface device transfer
specific use case
‘smart night table’
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
40. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
smart objects orchestration architecture
mobile-centred
mobile-instrumented interaction method
mobile media content/services ↔interface device transfer
specific use case
‘smart night table’
future extensions
extending the set of interaction actions to perform
(generic approach)
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
41. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
smart objects orchestration architecture
mobile-centred
mobile-instrumented interaction method
mobile media content/services ↔interface device transfer
specific use case
‘smart night table’
future extensions
extending the set of interaction actions to perform
(generic approach)
interface device interaction
e.g., mobile-device movement detection, Kinect, etc.
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8
42. discussion and future works
smart space behaviour personalization
⁷ Bernardos, A.M, Casar, J.R., Cano, J., Bergesio, L. 2011. Enhancing interaction with smart
objects through mobile devices. Proc. of the 9th ACM International Symposium on
Mobility Management and Wireless Access, Miami (USA), 31 October - 4 November 2011
smart objects orchestration architecture
mobile-centred
mobile-instrumented interaction method
mobile media content/services ↔interface device transfer
specific use case
‘smart night table’
future extensions
extending the set of interaction actions to perform
(generic approach)
interface device interaction
e.g., mobile-device movement detection, Kinect, etc.
context-responsiveness enhancements
Smart Environments and Ambient Intelligence – SENAmI 2013 luca.bergesio@grpss.ssr.upm.es 7/8