the gesture recognition used in android gives a prediction score based on the similarity between a drawn gesture and the gestures stored in its library. the question is, what are the measures on which this similarity is calculated?
http://grepcode.com/file/repository.grepcode.com/java/ext/com.google.android/android/2.3.4_r1/android/gesture/GestureUtils.java#GestureUtils.minimumCosineDistance%28float%5B%5D%2Cfloat%5B%5D%2Cint%29 in this link from the source code one can figure out that a minimum cosine distance is calculated between two float[] vectors. These arrays presumably store the features for each stroke. However what these features are and how the are calculated - couldn't figure that out from the code. Would someone pls help out on this? -- You received this message because you are subscribed to the Google Groups "Android Developers" group. To post to this group, send email to android-developers@googlegroups.com To unsubscribe from this group, send email to android-developers+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/android-developers?hl=en
