Faces

From MPDLMediaWiki
Revision as of 08:29, 28 June 2007 by Kristina (talk | contribs)
Jump to navigation Jump to search

NOTE: This page is currently under construction. Please don't edit it at the moment!


FACES is a collaboration of the MPDL with the Max Planck Institute for Human Development.


What is FACES[edit]

Overview[edit]

FACES is a lifespan database of adult emotional facial stimuli. It contains a set of images of naturalistic faces of 171 persons, seperated in three different age groups (young, middle-aged and old) displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness.

For more details, please visit the FACES database homepage.


Details[edit]

Scope

  • Developed between 2005-2007
  • Currently 171 persons (men and women)
  • 2 x 6 emotions
  • 2052 pictures overall
  • Available to defined user-group only as a java-application to be ordered by request on CD

Attributes

  • ID, age, gender, emotion, picture group

Emotions

  • Neutrality, sadness, disgust, fear, anger, happiness

Age Groups

  • Young (58 persons), middle-aged (56 persons), old (n=persons)

Formats

  • JPG images
  • Attribute export as CSV
  • No standard metadata-profiles

Available Image Resolutions

  • 819 x 1024
  • 2835 x 3543
  • Thumbnails to be generated automatically


What should FACES become[edit]

Aim of the collaboration (expressed by UF):

Wesentlich wird es – neben der Einbindung in die eSciDoc-Architektur – darum gehen, die bisherigen "Attribute" auf der Ebene des einzelnen Bildes zu ergänzen um weitere, standardisierte Metadaten (ggf. METS) , und ein Rechtemanagement zu implementieren, d.h. differenzierte Zugriffsrechte zu ermöglichen. Dabei muss die Datenbank strukturell offen sein für die Aufnahme weiterer (Beschreibungs-) Daten – wie etwa von der Normierungsstudie zu erwarten.


Requirements


Administration

  • Importing of Pictures
  • Adding of attributes to images, also from external data

Viewer

  • Browse photo Ccllection
  • View photos and their attributes
  • Select subset of photos according to their attributes
  • Manually refine selection
  • Export result set including attribute data



Project Documentation[edit]