Integration of Pose Recognition for a Person Wearing Short or Long Sleeves

In this paper; we propose a TV control system for aged and bedridden people. We have been constructing the interface, which changes TV channels and operate volume controls using pose recognition. However; users were required to wear the short-sleeved shirt to recognize the poses by using the skin color regions as arms. To allow the long sleeve for users, we improve our system to introduce the relation of the position of the Higher Local Auto Correlation Features to identify the pose. First, face and hand regions of the user are detected by using the skin color from the input image. Since it assumed that a width of a face region should be larger than arms, the face region is decided from the detected skin color regions by the erosion operation. After detecting the face region, a pose recognition area that is decided on the basis of the face position is divided into 9 (3X3) regions. The features are extracted from the 6 areas because the arms appear within the 6 areas. Using our algorithm, our system can recognize poses even if the user wears a long sleeve or short-sleeved shirt.