Difference between revisions of "Faces"

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{{ESciDoc_Solutions}}
{{ESciDoc_Solutions}}
Faces is a collaboration of the MPDL with the Max Planck Institute for Human Development.


== Aim ==
The main focus of the project - next to the integration of Faces as an online open source solutionin the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g [http://www.loc.gov/standards/mets/ METS]) and to implement a user management for different usage rights. Therefore, the application has to be flexible to integrate further data like the outcome of the norm study.


== What is Faces ==
== Summary ==
 
FACES is a lifespan database of adult emotional facial stimuli. It contains a set of images of naturalistic faces of 171 persons, separated in three different age groups (young, middle-aged and old) displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger and happiness. Together that makes 2052 pictures. <br/>
=== Overview ===
To save the personal rights of the depicted persons, the pictures of Faces are only available to researchers on a case by case basis (e.g. person by person, study by study). <br/>
 
For more information please visit the [http://home.fhtw-berlin.de/~s0512134/faces_webseite/about.html FACES database homepage].
FACES is a lifespan database of adult emotional facial stimuli. It contains a set of images of naturalistic faces of 171 persons, separated 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 information, 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
 
'''Attributes'''
* ID, age group, age (at the photo shooting), gender, emotion, picture group
 
'''Emotions'''
* Neutrality, sadness, disgust, fear, anger, happiness
 
'''Age Groups'''
* Young (58 persons, range 19-31, M = 24.3, SD = 3.5), middle-aged (56 persons, range 39-55, M = 49.0, SD = 3.9), old (57 persons, range 69-80, M = 73.2, SD = 2.8) <br/>
M = Meridian <br/>
S = Standardabweichung
 
'''Picture Groups'''
* a and b (only as double check, no quality criteria)
 
'''Formats'''
* JPEG images
* Attribute export as CSV
 
'''Image Resolutions'''
* 819 x 1024
* 2835 x 3543
* Automatically generated thumbnails
 
== What should Faces become ==
 
Faces should become an online open source solution, but with restricted access to the data because of the restricted usage rights for the photos.
 
=== Aim ===
 
The main focus of the project - next to the integration of Faces in the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g [http://www.loc.gov/standards/mets/ METS]) and to implement a user management for different usage rights. Therefore, the application has to be flexible to integrate further data like the outcome of the norm study.
 
 
== Requirements ==
see [[Faces Scope]]
 
=== Normstudy ===
 
Currently, the MPI is working on a [[normstudy]], for comparing their expert opinion about how an emotion have to look like with the opinion of layman. The results of this study, about 130 grouped values per picture, should be integrated in FACES. Approximately, this will not start before the end of 2008.
 
This results are no further metadata for the pictures, but data. This data have to be connected to the pictures, but will be stored as separate items.
 
== Meetings  ==
 
19.06.07 (Berlin): Kick off Meeting
 
09.10.07 (Berlin): Follow up Meeting


'''Normstudy''' <br/>
Currently, the MPI is working on a [[Faces_Normstudy| Normstudy]] for comparing their expert opinion about how an emotion have to look like with the opinion of layman. The results of this study, about 130 grouped values per picture, should be integrated in FACES. Approximately, this will not start before the end of 2008.


== Partners ==
Faces is a collaboration of the MPDL with the Max Planck Institute for Human Development.


== Interest ==
The solution might be of interest to any institute which is maintaining collections of pictures/images.


[[Category:Faces| ]]
[[Category:Faces| ]]

Revision as of 15:12, 4 February 2008

eSciDoc Solutions

PubMan:
Overview · Functionalities
Interfaces · Support

Faces:
Overview · Functionalities
Scope · Support

ViRR:
Overview · Functionalities
Scope · Support

imeji
Digitization Lifecycle

edit


Aim[edit]

The main focus of the project - next to the integration of Faces as an online open source solutionin the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g METS) and to implement a user management for different usage rights. Therefore, the application has to be flexible to integrate further data like the outcome of the norm study.

Summary[edit]

FACES is a lifespan database of adult emotional facial stimuli. It contains a set of images of naturalistic faces of 171 persons, separated in three different age groups (young, middle-aged and old) displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger and happiness. Together that makes 2052 pictures.
To save the personal rights of the depicted persons, the pictures of Faces are only available to researchers on a case by case basis (e.g. person by person, study by study).
For more information please visit the FACES database homepage.

Normstudy
Currently, the MPI is working on a Normstudy for comparing their expert opinion about how an emotion have to look like with the opinion of layman. The results of this study, about 130 grouped values per picture, should be integrated in FACES. Approximately, this will not start before the end of 2008.

Partners[edit]

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

Interest[edit]

The solution might be of interest to any institute which is maintaining collections of pictures/images.