Regarding the data generation I was planning to follow the steps of this paper, after I produce my personal dataset: Do you think I'm moving on the right track? (I'm working on Android, (NDK), I found JaHMM as an HMM tool, and using OpenCV for image K. I am currently reading section 5 - Vector Quantization (I heard of this term before but do not actually know what it involves, and in figure 5 there seems to be a complex algorithm which, if I understood correcty, converts the set of values I achieve from the hand (just mentioned) into 1 digit which I can use as the Observation sequence to train an HMM for 1 particular sign. Now I have encountered a paper which seems to show what I want to do, I'm not sure: distance from a particular point to different points of the hand contour (etc.).I am currently reading some more papers to see what type of information I should extract, such as : Regarding the poses: I was going to go for a set of words in American Sign Language which are fingerspelled, e.g 'dog' -> 'd' 'o' 'g' (3 states) but the moment I haven't decided what to go for. I have encountered a list of functions I found in some literature, such as Fast Fourier Descriptors, Curvature Descriptors, B Spline yet I am clueless as to how to apply these functions to my current data (i.e. But I don't know how to experiment with the tool at this stage since I do not know what will be the input to this classification stage! When I search for literature as 'Shape classification using HMMs' I still find it hard to what should I do next.Īs a tool for HMM I plan to use JaHMM. The problem is that I am clueless as what to do next.
I am finding this 'Feature Extraction' stage very ambiguous.Ĭurrently I am getting a list of angles of the contour (which is approximated so as to obtain a limited number of angles) My problem is that not a lot of literature indicate what the next stage is before the classification of the image through the hidden markov model. I am also getting the bounding ellipse/rectangle, the centroid as 'important' shape features of the hand. I think that I have completed the Image processing stage, where I am able to extract the contour of the hand (I am wearing a glove to avoid background subtraction for now). I am currently working on a gesture recognition system (for an Android Application).
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