Difference between revisions of "Portal:FACES"
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FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness | FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. | ||
The main focus of the project – next to the integration of FACES as an online open source solution in 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 rating study. | The main focus of the project – next to the integration of FACES as an online open source solution in 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.<br />Therefore, the application has to be flexible to integrate further data like the outcome of the rating study. | ||
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<div align="center">[[File:ESciDoc.Faces.png|link=http://faces.mpdl.mpg.de/faces/]]</div align="center"> | <div align="center">[[File:ESciDoc.Faces.png|link=http://faces.mpdl.mpg.de/faces/]]</div align="center"> |
Revision as of 11:21, 30 October 2013
CoLab Portal for FACES |
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FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness.
The main focus of the project – next to the integration of FACES as an online open source solution in 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 rating study.
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