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Biocooperative augmented robots, can enhance rehabilitation therapies by giving the correct assistance at the correct time. Since different patients may benefit from different amounts of assistance or resistance at a given time, predicting when a person enters in an undesired psychophysiological state can provide an intelligent system with important information about when to initiate interaction. This paper presents a subject centered approach method that includes the human into the loop by using physiological feedback techniques. This allows the robot to adapt to several different patients and maintain the therapy as intensive as possible without compromising patients health or letting the individual get stressed which would result in a decay of the overall performance.