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OALib Journal期刊
ISSN: 2333-9721
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FGEST: FINGER TRACKING AND GESTURE RECOGNITION IN SMARTPHONES

Keywords: video analysis , edge and feature detection , motion , shape , tracking

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Abstract:

Recent advances in mobile processors have made complex calculations possible and feasible in Smartphones. Taking advantage of these developments we aim to develop a gesture recognition application that can recognize finger movements effectively in a variety of lighting conditions and perform corresponding actions. This enables us to incorporate a new form of interaction on mobile devices without using extra hardware as it utilizes the front facing camera present in most mobile phones. Here we present a framework that describes our application which will increase the functionality of preexisting devices.

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