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Hello, I have a problem with my project at the moment. I want to detect the Facial Expressions in a face by means of FACS Codes. These codes describe facial movements in the face. There are 46 codes which describe these movements. They can appear alone, or in combinations of them. I am going to use SVM to classify them. So i have 46 classes to consider. No my problem is. When these classes can appear in combinations, how can the SVM classify them. It can only classify 1 class at the time. Can the SVM be modify to classify a dataset to more than 1 class? Is it even theoretically possible? thanks /Martin