1. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 1 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.

2. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 2 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

3. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 3 Objectives To provide inputs for the application matrix –A brief overview of applications which would use mood detection –Tentative parameters for the associated BAN

4. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 4 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

5. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 5 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

6. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 6 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

7. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 7 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

8. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 8 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

9. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 9 EDA Skin Temp ECG Breathing Rate ECG Probes Breathing Rate Strap EDA Probes Temperature Probe

10. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 10 Sensor parameters ModalitySampling frequency (Hz) Resolution (bits) Rate (bits/s) ECG250123 000 EDA2016320 Breathing rate2016320 Skin temperature2016320 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)

11. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 11 Proposed application matrix parameters (for a first grade mood detection system) Topologydata link speed symmetric/ asymmetric Data rate (per link) Number of devices (per piconet) Duty cycle (per device) % per minute or hour Radio range robustne ss /reliability (high/me d/low) Quality of Service low (<200Kbps ) small (<12) Life critical sensitivity to error starasym 1 to 5 kbps4 High<3m low low (CRC is OK) channel (e.g. in/out body) securityPrivacypower delivery costpower consump tion batteryenergy scavenging sensitivity to latency on bodymediumhighyespreferably should be lowlow

12. SG BAN doc.: IEEE 15-07-0947-00-0ban November 2007 Laurent OuvrySlide 12 References [1] IST FP6 e-SENSE project web site ( http://www.ist- e-sense.org )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