  This paper presents a complete processing chain for decoding intracranial
data recorded in the cortex of a monkey and replicates the associated movements
on a JACO robotic arm by Kinova. We developed specific modules inside the
OpenViBE platform in order to build a Brain-Machine Interface able to read the
data, compute the position of the robotic finger and send this position to the
robotic arm. More pre- cisely, two client/server protocols have been tested to
transfer the finger positions: VRPN and a light protocol based on TCP/IP
sockets. According to the requested finger position, the server calls the
associ- ated functions of an API by Kinova to move the fin- gers properly.
Finally, we monitor the gap between the requested and actual fingers positions.
This chain can be generalized to any movement of the arm or wrist.
