In recent years, detecting upper-limb motion intention has attracted growing research attention in order to improve the manipulation of a prosthetic hand. Recording of forearm muscle activity has been used as a signal source to detect wrist and hand motions using different pattern recognition techniques. However, it is difficult to take in consideration body coordinated motions from these signals alone; therefore the movement of the artificial limb can be unnatural, if consider as a part of the whole body coordination, and a dynamical coupling between the user and the prosthesis is impos-sible. Also, using only forearm muscle activities to drive the artificial limb leaves aside the possibi-lity for higher level amputees to use these systems.

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