The sensible adaption of interface solutions for visually impaired and blind folks is proscribed by simplicity and usefulness in practical situations. totally different solutions focus upon speech or keyboard interfaces, that don't seem to be economical or clear in every-day environments. As a straightforward and sensible thanks to bringing home the bacon human-computer- interaction, during this paper hand gesture recognition was accustomed to facilitate the reduction of hardware parts. in addition, a qualitative user study was performed to match the learning curves of various subjects with and while not previous data of gesture recognition devices, decoding the readings from a sensitive surface by machine learning algorithms. The user study was created victimization well-known machine learning algorithms applied to recognize symbols from the graffiti handwriting system and therefore the woodhen data processing computer code for scrutiny individual machine learning approaches.