Mokhtar M. Hasan

Gesture Recognition Using Modified HSV Segmentation

Gesture recognition system is an important link between humans and machines, in this paper we are going to present a new gesture system that used to control the human made machine by teleoperations, we have applied in this system the HSV color model that used for segmentation operation with some modification to overcome the problem of incomplete segmentation, the input gesture is divided into blocks and the features are extracted using our suggested brightness feature vector, we have made a study by considering all the block sizes starting from single pixel block size which is 1x1 and going onward passing by all the odd blocks numbers up to 23x23 block size in order to reveal the performance of gesture system through different block sizes, we have achieved an average recognition time of 1.676 seconds per gesture, in this paper we have focused on hand gestures instead of other organ because the hand can express much meaning and this is why it is used commonly by deaf people and we have applied static gesture system.

Direction analysis algorithm using statistical approaches

Statistical approaches become very important tools that interfere and overlap in our daily life and become inevitable event that help us in every tiny details of our life, in this paper; we are going to present a new technique for analyzing the two principal component of any given object by calculating the direction over the occupied coordinates using mean, variance, and covariance statistical functions, and by finding some relationship between those statistical functions; we have extracted the angle degree of the processed object, for pattern recognition applications; this object can be adjusted accordingly to overcome the rotation perturbation shortcoming that hinders the extraction of a unified features especially for object recognition purposes in which we have to present many samples per single pose which makes the processing of this increasing size of the database is a noticeable burden, we have achieved a dramatically results with almost zero time of calculation since the statistical functions applied need little processing time to finish.