 Perperception conveys haptic information and is important for stroke recovery. Our goal was to quantify arm perperception using computer vision as a pointing error. To analyze a pointing error, each participant performed a total of seven experiments under different constraints. We showed that pointing error depends on the availability of perperceptive input from the target hand, that obscuring the hand is as effective as blindfolding and that we can reliably quantify a pointing error.