Stroke rehabilitation is often terminated once a plateau in motor recovery is observed. However, new modalities of training and interactive technologies offer evidence of further functional improvements after the onset of the chronic phase. Recent studies have shown that feedback technology augmenting error can foster the relearning process. In particular, stroke recovery studies enhancing visually and haptically the error while reaching in a virtual environment have shown significant results. Moreover, bimanual simultaneous reaching seems to be effective for the rehabilitation of the hemiparetic arm as well as allowing self-rehabilitation and “solo” training. In this work, we explore the possibility of a robot-free implementation of Error-Augmentation (EA), distorting the visual feedback only, and tracking hands motion through a simple optical sensor. We present latest results coming from an ongoing randomized clinical study in which we tested efficacy of parallel bimanual reaching with visual EA. Subjects trained in the virtual environment in sessions of 45-minutes three times a week for three weeks. Half of them unknowingly trained with EA while the other half with veridical feedback. Clinical evaluations were carried out by a blinded therapist before the beginning of the training period, one week after the end of the training, and in a two-month follow-up. A daily evaluation was carried out by means of a metric of assessment we designed to be built-in in the rehabilitative virtual environment. Results show that both groups significantly improved their functionality and reaching ability. An advantage in the EA group can be observed both in clinical evaluations and in our built-in metric, even if at this point no statistical significance could be detected. Importantly, this advantage seems compatible with the results coming from previous EA studies using robots. One important finding is that EA caused a significantly higher intertrial variability. Additionally, the system was modified in order to make it intuitive and easy to use, enabling independent training of subjects undergoing rehabilitation at the Shirley Ryan AbilityLab.