Hand Gesture Interface based on Finger Area Estimation for Wearable Digital Camera

Abstract

A digital camera becomes a commodity as an image capturing device and is widely used in many events in daily life. However, since the current camera needs to take out from a bag or something each time, there are many situations to miss important scenes. In order to solve this problem, we proposed a wearable digital camera with HMD and its hand-gesture interface. Although it works precisely in normal situations, it still causes misdetection for complicated background scenes. This paper proposed a finger point detection algorithm based on finger area estimation using amount of hand motion. Evaluation results using a prototype system show that the proposed algorithm can detect finger point precisely even in a complicated background containing skin color.