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.