Difference between revisions of "Faces"

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== What is FACES ==
== What is FACES ==
=== Overview ===


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.
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 [http://home.fhtw-berlin.de/~s0512134/faces_webseite/about.html FACES database homepage].
For more details, please visit the [http://home.fhtw-berlin.de/~s0512134/faces_webseite/about.html FACES database homepage].
=== Details ===
'''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
'''Current Attributes'''
* ID, age, gender, emotion, picture group
'''Current Emotions'''
* Neutrality, sadness, disgust, fear, anger, happiness
'''Current Age Groups'''
* Young (58 persons), middle-aged (56 persons), old (n=persons)
'''Formats'''
* JPG Images
* Attribute Export as CSV
* No standard metadata-profiles involved ?
'''Available Image Resolutions'''
* 819 x 1024
* 2835 x 3543
* Thumbnails to be generated automatically


== What should FACES become ==
== What should FACES become ==
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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. [http://www.loc.gov/standards/mets/ 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.
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. [http://www.loc.gov/standards/mets/ 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.
NEW
'''Additional example ratings coming up from the normstudy:'''
* Attractiveness, age, distinctiveness, goal orientation, type of emotion perceived
'''Administration'''
* Importing of Pictures
* Adding of Attributes to Images, also from External Data
'''Viewer'''
* Browse Photo Collection
* View Photos and their attributes
* Select subset of Photos according to their attributes
* Manually refine selection
* Export result set including attribute data




== Project Documentation ==
== Project Documentation ==

Revision as of 08:21, 28 June 2007

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


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

Current Attributes

  • ID, age, gender, emotion, picture group

Current Emotions

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

Current Age Groups

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

Formats

  • JPG Images
  • Attribute Export as CSV
  • No standard metadata-profiles involved ?

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.

NEW Additional example ratings coming up from the normstudy:

  • Attractiveness, age, distinctiveness, goal orientation, type of emotion perceived

Administration

  • Importing of Pictures
  • Adding of Attributes to Images, also from External Data

Viewer

  • Browse Photo Collection
  • 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]