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Communication Dans Un Congrès Année : 2018

Dynamic index finger gesture video dataset for mobile interaction

Résumé

This paper introduces an original video dataset containing dynamic index finger gestures in a mobile context. The dataset consists of 746 video sequences of 6 index finger gestures: left, right, up, down, tap, circle. The video sequences are obtained from a mobile phone's rear camera equipped with a wide angle lens, thus the dataset features particular challenges due to background motion and the distorted field of view. We present a baseline method that uses optical flow features in the form of a histogram to represent the motion information in the video sequences.
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Dates et versions

hal-01845367 , version 1 (23-10-2018)

Identifiants

  • HAL Id : hal-01845367 , version 1

Citer

Cagan Arslan, Jean Martinet, Ioan Marius Bilasco. Dynamic index finger gesture video dataset for mobile interaction. International Conference on Content-Based Multimedia Indexing (CBMI), Sep 2018, La Rochelle, France. ⟨hal-01845367⟩
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