2022
DOI: 10.3390/s22114206
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Facial Expression Recognition from Multi-Perspective Visual Inputs and Soft Voting

Abstract: Automatic identification of human facial expressions has many potential applications in today’s connected world, from mental health monitoring to feedback for onscreen content or shop windows and sign-language prosodic identification. In this work we use visual information as input, namely, a dataset of face points delivered by a Kinect device. The most recent work on facial expression recognition uses Machine Learning techniques, to use a modular data-driven path of development instead of using human-invented… Show more

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