Dynamic index finger gesture video dataset for mobile interaction

Cagan Arslan (1) , Jean Martinet (2, 1) , Ioan Marius Bilasco (1, 2, 3)

1 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
2 LIFL - FOX MIIRE
3 Université de Lille, Sciences et Technologies

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.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

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⟩