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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [ Mood detection application and parameters for the BAN SG application matrix ] Date Submitted: [ November , 2007 ] Source: [Alex Gluhak (1), Mirko Presser (1), Laurent Ouvry (2)]

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slide1

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Submission Title: [Mood detection application and parameters for the BAN SG application matrix]

Date Submitted: [November, 2007]

Source: [Alex Gluhak (1), Mirko Presser (1), Laurent Ouvry (2)]

Company [University of Surrey (1), CEA-Leti (2)]

Address [CCSR, Guildford, Surrey GU2 7XH, United Kingdom (1), 17 rue des Martyrs 38054 Grenoble France (2)]

E−Mail [A.Gluhak@surrey.ac.uk (1), laurent.ouvry@cea.fr (2)]

Re: [802.15 BAN]

Abstract: [This document present the basic technical parameters to fill the application matrix for a BAN based mood detection application ]

Purpose: [To promote discussion in 802.15 BAN Study Group]

Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.

Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15.

Laurent Ouvry

mood detection application and parameters for the ban sg application matrix

Mood detection application and parameters for the BAN SG application matrix

Alex Gluhak, University of Surrey

Mirko Presser, University of Surrey

Laurent Ouvry, CEA-Leti

Acknowledgement : S. Kupschick, Human Factor Consult, GmbH

This work has been partly funded under the 6th EU’s Framework Programme for Research and technological Development

Laurent Ouvry

objectives
Objectives
  • To provide inputs for the application matrix
    • A brief overview of applications which would use mood detection
    • Tentative parameters for the associated BAN

Laurent Ouvry

contents
Contents
  • What do we mean there by mood ?
  • What kind of services can be triggered by mood detection ?
  • Why adding such an application into the application matrix ?
  • An HW platform example used for field trials
  • The proposed application matrix parameters

Laurent Ouvry

mood model
Mood model
  • Russell’s circumplex model of affect as starting point (dimensional model)
  • Emotions (E1/2/3) can be described by their degrees of valence and arousal
  • Most of the time they are

not pure but mingled

Laurent Ouvry

mood based mobile services
Mood based mobile services
  • Services allowing the sharing or recording of emotions
    • Instant messaging, life-blog, counselling
  • Mood used as trigger for the delivery of adequate service information or content
    • e.g. mood based messaging, security, happy messaging
  • Adaptation of content or service behaviour according to the mood of a person
    • E.g. Night club, Juke box

Laurent Ouvry

rationale to have it in the application matrix
Rationale to have it in the application matrix
  • Mood detection is extremely hard, but is a promising BAN application driver
  • It relies on sensors measuring physiological parameters
    • Such sensors appear in the application matrix
  • It is NOT a medical application
    • QoS requirements are relaxed
    • Security requirements are not
  • It is part of CE applications
  • Such a couple does not clearly appear in the application matrix so far

Laurent Ouvry

system design
System Design
  • Sensors and algorithms to capture mood
    • Physiological Sensors:
      • ECG (ElectroCardioGram), EDA (ElectroDermal Activity), Breathing Rate, Skin Temperature
    • Mood Algorithm
      • Complex algorithm to extract features and infer mood from physiological parameters
  • Portable System Platform
    • Body Sensor Network (e.g. over an 802.15.4 PHY)
    • Mobile PDA class device
  • Mood Application
    • Mood based messaging service

Laurent Ouvry

slide9

ECG

Breathing

Rate

EDA

Skin Temp

EDA Probes

Temperature

Probe

ECG Probes

Breathing

Rate Strap

Laurent Ouvry

sensor parameters
Sensor parameters

Enhancements (for higher grade systems) may require more rate demanding sensors :

EMG to monitor facial muscles (~250 Hz sampling rate)

Voice tone, frequency, speed (~1 kHz sampling rate)

Laurent Ouvry

references
References
  • [1] IST FP6 e-SENSE project web site ( http://www.ist-e-sense.org )
  • [2]e-SENSE deliverable D1.3.1, “Functional requirements for e-SENSE Show Cases”, July 2006
  • [3] “Towards Mood-based Mobile Services and Applications”, A. Gluhak, M. Presser, L. Zhu, S. Esfandiyari and S. Kupschick, Proceedings of EUROSSC’07, 2nd European Conference on Smart Sensing and Context, October 23-25, 2007, Kendal, England

Laurent Ouvry