The FaceReader: online facial expression recognition. FaceReader Online analyses facial expressions using FaceReader™, a software program for facial analysis. It has proved its value in the more than 250 sites where it is used worldwide. FaceReader technology has been improved over the past 20 years using scientific research as input for software development plans. The analysis and related services run on the Microsoft Azure cloud platform. FaceReader software has been trained to classify expressions in one of the following categories: happy, sad, angry, surprised, scared, disgusted, and neutral. These emotional categories have been described by Ekman  as the basic or universal emotions. FaceReader Online can easily be used by hundreds of participants at once: we make sure that sufficient server capacity is available so that you get your results in time!
Keywords for this software
References in zbMATH (referenced in 1 article )
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- Susan, Seba; Aggarwal, Nandini; Chand, Shefali; Gupta, Ayush: Image coding based on maximum entropy partitioning for identifying improbable intensities related to facial expressions (2016)