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Face-to-face enabler for detecting real social
MeetUp 2015, March 17th, Guildford
Mr Niklas Palaghias
PhD Researcher, University of Surrey
1
Creating a socially aware citizen-centric Internet of Things
SOCIOTAL MeetUp
Project Fact Sheet
2
ES
RS
UK
FR
IT
NL
Project Coordinator:
Prof. Klaus Moessner,
University of Surrey
Technical Coordinator:
Dr. Michele Nati
Title: SOCIOTAL
Contract Number: CNECT-ICT-
609112
Duration: September 2013-
August 2016
http://SOCIOTAL.eu
SOCIOTAL MeetUp
Main idea
Enable a citizen-inclusive and pro-citizen second wave
of the IoT
‐ Encourage citizen participation in the IoT to boost (societal)
innovation
‐ Provide direct benefits to citizens, help addressing true needs of
neighbourhood, communities and society at large scale
‐ Put control into the hand of the citizen on who can access
information
3SOCIOTAL MeetUp
Approach
 Design and provide key enablers for a reliable, secure and
trusted IoT environment by encouraging people to
contribute their IoT devices and information flows
 Provide a citizen-centric IoT approach towards creation of
large-scale IoT solutions of interest to the society in order
to exploit billions of new IoT information streams
 By equipping communities with secure and trusted tools
that increase user confidence in IoT environment, enable
their transition to smart neighbourhoods, communities
and cities
4SOCIOTAL MeetUp
Key Enablers
Detection of face-to-face (F2F) interactions to
understand social relations
Radiolocation enablers – Location based ID
Indoor localisation based on magnetic field
5SOCIOTAL MeetUp
Social interactions
6
Personal zone
Social zone
Public zone
Facing direction
Interaction zone
Intimate zone
(A)
(B)
(C)
(D)
Figure 1: Interpersonal distance and spatial arrangement.
SOCIOTAL MeetUp
Enabler
Face-to-face (F2F) interaction detection
‐ Proximity detection based
on machine-learning through
Bluetooth RSSI
‐ Relative orientation estimation
based on an improvement of
uDirect*
‐ Collaborative Sensing for
real-time and enhanced
F2F inference
*Patent: Hoseinitabatabaei SA, Gluhak A, Tafazolli R. Information determination in a portable device.
7SOCIOTAL MeetUp
Personal zone
Social zone
Public zone
Facing direction
Interaction zone
Intimate zone
(A)
(B)
(C)
(D)
Initial Evaluation
9 participants
Overall accuracy 81.4%
A
C
E
B
D
Personal
Social
Social
Public
Social
Social
Social
Public
Social
Figure 2: Office environment including the points where participants
were standing.
8
SOCIOTAL MeetUp 8
Developers
SOCIOTAL platform
‐ Context Broker based on FI-WARE Orion Broker
‐ Social Interaction detection app/lib
‐ Etc..
Query information about a particular entity
9
SocIoTal
SERVER
193.144.201.50:3500
GET /SocIoTal_Context_UC_REST/NGSI10_API/queryContext/Entity_ID
HEADERS
Content-
type
application/json
Accept application/json
SOCIOTAL MeetUp
Developers
Advanced query
10
SocIoTal
SERVER
193.144.201.50:3500
POST /SocIoTal_Context_UC_REST/NGSI10_API/queryContext?limit=1
HEADERS
Content-
type
application/json
Accept application/json
Payload:
{"entities":[
{"type":"",
"isPattern":"false",
"id":"SocIoTal:SAN:SmartphoneContext:Dev_001"
}
],
"attributes":["SocialRelation"]
}
SOCIOTAL MeetUp
Feedback Information
Date
App type
App utility
‐ Good
‐ Bad
‐ Missing
What would you do differently?
What adjunctive function would you like to have?
Perceive privacy
Notes
11SOCIOTAL MeetUp
Contact
Niklas Palaghias, PhD Researcher
n.palaghias@surrey.ac.uk
Institute for Communication Systems (ICS)
University of Surrey
12SOCIOTAL MeetUp

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IoTMeetupGuildford#9: SocIoTal – Face-to-face enabler for detecting real social interactions - Nick Palaghias - Institute for Communication Systems, University of Surrey

  • 1. Face-to-face enabler for detecting real social MeetUp 2015, March 17th, Guildford Mr Niklas Palaghias PhD Researcher, University of Surrey 1 Creating a socially aware citizen-centric Internet of Things SOCIOTAL MeetUp
  • 2. Project Fact Sheet 2 ES RS UK FR IT NL Project Coordinator: Prof. Klaus Moessner, University of Surrey Technical Coordinator: Dr. Michele Nati Title: SOCIOTAL Contract Number: CNECT-ICT- 609112 Duration: September 2013- August 2016 http://SOCIOTAL.eu SOCIOTAL MeetUp
  • 3. Main idea Enable a citizen-inclusive and pro-citizen second wave of the IoT ‐ Encourage citizen participation in the IoT to boost (societal) innovation ‐ Provide direct benefits to citizens, help addressing true needs of neighbourhood, communities and society at large scale ‐ Put control into the hand of the citizen on who can access information 3SOCIOTAL MeetUp
  • 4. Approach  Design and provide key enablers for a reliable, secure and trusted IoT environment by encouraging people to contribute their IoT devices and information flows  Provide a citizen-centric IoT approach towards creation of large-scale IoT solutions of interest to the society in order to exploit billions of new IoT information streams  By equipping communities with secure and trusted tools that increase user confidence in IoT environment, enable their transition to smart neighbourhoods, communities and cities 4SOCIOTAL MeetUp
  • 5. Key Enablers Detection of face-to-face (F2F) interactions to understand social relations Radiolocation enablers – Location based ID Indoor localisation based on magnetic field 5SOCIOTAL MeetUp
  • 6. Social interactions 6 Personal zone Social zone Public zone Facing direction Interaction zone Intimate zone (A) (B) (C) (D) Figure 1: Interpersonal distance and spatial arrangement. SOCIOTAL MeetUp
  • 7. Enabler Face-to-face (F2F) interaction detection ‐ Proximity detection based on machine-learning through Bluetooth RSSI ‐ Relative orientation estimation based on an improvement of uDirect* ‐ Collaborative Sensing for real-time and enhanced F2F inference *Patent: Hoseinitabatabaei SA, Gluhak A, Tafazolli R. Information determination in a portable device. 7SOCIOTAL MeetUp Personal zone Social zone Public zone Facing direction Interaction zone Intimate zone (A) (B) (C) (D)
  • 8. Initial Evaluation 9 participants Overall accuracy 81.4% A C E B D Personal Social Social Public Social Social Social Public Social Figure 2: Office environment including the points where participants were standing. 8 SOCIOTAL MeetUp 8
  • 9. Developers SOCIOTAL platform ‐ Context Broker based on FI-WARE Orion Broker ‐ Social Interaction detection app/lib ‐ Etc.. Query information about a particular entity 9 SocIoTal SERVER 193.144.201.50:3500 GET /SocIoTal_Context_UC_REST/NGSI10_API/queryContext/Entity_ID HEADERS Content- type application/json Accept application/json SOCIOTAL MeetUp
  • 10. Developers Advanced query 10 SocIoTal SERVER 193.144.201.50:3500 POST /SocIoTal_Context_UC_REST/NGSI10_API/queryContext?limit=1 HEADERS Content- type application/json Accept application/json Payload: {"entities":[ {"type":"", "isPattern":"false", "id":"SocIoTal:SAN:SmartphoneContext:Dev_001" } ], "attributes":["SocialRelation"] } SOCIOTAL MeetUp
  • 11. Feedback Information Date App type App utility ‐ Good ‐ Bad ‐ Missing What would you do differently? What adjunctive function would you like to have? Perceive privacy Notes 11SOCIOTAL MeetUp
  • 12. Contact Niklas Palaghias, PhD Researcher n.palaghias@surrey.ac.uk Institute for Communication Systems (ICS) University of Surrey 12SOCIOTAL MeetUp