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HUMAN BEHAVIOUR LAB.
GIDAI GROUP - E.T.S.I.I.T
UNIVERSITY OF CANTABRIA
DESCRIPTION AND GOALS OF THE ORGANISATION
The Behavioural analysis Laboratory of GIDAI Group, specializes in
research on human movement and behaviour during evacuation process.
With the aim to improve levels of safety in transportation, an intensive and
long-term partnership with several companies and institutions, nationally
and internationally, has been achieved. Among our activities are: design
and performance of experiments, data collection on human performance
(evacuation drills, exercises), development of computer models and
stochastic evacuation sub-models, Decision Support Systems, etc.
AREAS OF ACTIVITY
t Human behaviour in emergency situations drills * t Decision Support Systems
t Human behaviour in normal conditions drills t * (Even in low visibility conditions with smoke)
t Human behaviour parameters data collection *
t Egress Modelling
TEST FACILITIES, EQUIPMENT, TYPES OF TESTING AND/OR 53*"-4
A video camera system for the collection of behavioural parameters composed by:
* 12 Cameras DOMO: Electronic Shutter: PAL/NTSC, Image Sensor: CCD Sony 1.4”, Effective pixels PAL: 752 (H)
x582 (V), Angle of view 51.2-5.58º, Day & Night: mechanically removable.
* 24 Cameras 2 Megapixel CMOS-based Network Camera: Image Sensor CMOS 1/3”, Effective pixels 1600 (H) x 1200
(V), Working Temperature -10ºC~+60ºC, Day&Night: mechanically removable (ICR).
* 15 High-definition Cameras: Dimensions: 1.6”x2.4”x1.2”, Weight: 167 gr., HD Video resolution modes: 1080p, 960p,
720p, WVGA, Sensor type 1/2.5” HD CMOS.
* 36 NanoStation M5: 5GHz Hi Power 2x2 MIMO AirMax TDMA Station.
RTL system:
* Real-time location Ekahau system (RFID), functional with any 802.11b/g/n standard 2.4 GHz frequency.
* Hot Smoke Machine, which allows to create more real emergency scenarios.
ADDRESS CONTACT PERSON
Avda. Los Castros, s/n Daniel Alvear Portilla
39005 Santander (Spain) Director Grupo GIDAI
Tel.: +34 94 220 18 26 Tel.: +34 94 220 18 26
www.gidai.unican.es Email: daniel.alvear@unican.es