  Non-verbal communication is part of our regular conversation, and multiple
gestures are used to exchange information. Among those gestures, pointing is
the most important one. If such gestures cannot be perceived by other team
members, e.g. by blind and visually impaired people (BVIP), they lack important
information and can hardly participate in a lively workflow. Thus, this paper
describes a system for detecting such pointing gestures to provide input for
suitable output modalities to BVIP. Our system employs an RGB-D camera to
recognize the pointing gestures performed by the users. The system also locates
the target of pointing e.g. on a common workspace. We evaluated the system by
conducting a user study with 26 users. The results show that the system has a
success rate of 89.59 and 79.92 % for a 2 x 3 matrix using the left and right
arm respectively, and 73.57 and 68.99 % for 3 x 4 matrix using the left and
right arm respectively.
