gesture-recognition

I have successfully applied the method cv::approxPolyDP on contours (cv::findContours), in order to represent a contour with a simpler polygon and implicitly do some denoising. I would like to do the same thing on an edge map acquired from an RGBD camera (which is in general very noisy), but with not much success up to now and I cannot find relative examples online. The reason I need this, is that by means of an edge map one can also use the edges between fingers, edges created by finger occlusion or edges created in the palm. Is this method applicable to general edge maps, other than contours

i'm developing a application for gestures recognizer for iPad and i want to disable the default gesture recognizer of the iOS. When i ask a way do disable the gestures recognizer is using my own application, so i need a way using some functions of the api and not using the settings way. The four- and five- finger gestures are not officially part of iOS, and may never be. Though it would be best to figure out an alternative, you should be able to use these gestures for now and not fear conflicts (save on the iPads of developers who have specifically turned on this feature, whose users know that

I have a project for gesture recognition. I was wondering how can use C# or Java to program it? Is there any special library? Do I need programming or do I need a special device rather than a webcam? Have you looked at OpenCV ? OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. Example applications of the OpenCV library are Human-Computer Interaction (HCI); Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Camera and Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion (SFM);

I think there are some algorithms that evaluate difference between drawn symbol and expected one, or something like that. Any help will be appreciated :)) You can implement a simple Neural Network to recognize handwritten digits. The simplest type to implement is a feed-forward network trained via backpropagation (it can be trained stochastically or in batch-mode). There are a few improvements that you can make to the backpropagation algorithm that will help your neural network learn faster (momentum, Silva and Almeida's algorithm, simulated annealing). As far as looking at the difference

How can I detect in a ListView that someone swiped to the left or the right? You'll be wanting this excellent tutorial (site died, here's a new link: http://jsharkey.org/blog/2008/09/15/crossing-things-off-lists-in-android-09-sdk/ ). Essentially, you're going to create a transparent view in front of the ListView which consumes horizontal motionevents and passes non-horizontal motionevents back down to the ListView. gestures recognition wont be supported on 1.5 for which you might want to refactor gesture base code, and add to your application so to work good on 1.5 in case you are not

I know there is a lot of material related to hidden markov model and I have also read all the questions and answers related to this topic. I understand how it works and how it can be trained, however I am not able to solve the following problem I am having when trying to train it for a simple dynamic gesture. I am using HMM implementation for OpenCV I have looked into previously asked questions and answer here . Which has really helped me in understanding and using markov models. I have total of two dynamic gestures, which are both symmetric (swipe left and swipe right) There are total of 5

I have Kinect and drivers for Windows and MacOSX. Are there any examples of gesture recognitions streamed from Kinect using OpenCV API? I'm trying to achieve similar to DaVinci prototype on Xbox Kinect but in Windows and MacOSX. I think it wont be this simple mainly because the depth image data from kinect is not so sensitive. So after a distance of 1m to 1.5m all the fingers will be merged and hence you wont be able to get a clear contours to detect the fingers The demo from your link doesn't seem to use real gesture recognition. It just distinguishes between two different hand positions

What is the current state of hand gesture recognition in OpenCV? I have seen great examples of being able to detect hand gestures (e.g. https://www.andol.me/1661/ ) but recognising gestures and performing some action (e.g. manipulating on-screen objects) seems much harder. Does anyone know of any examples? Thanks! I think the only support in OpenCV for hand gesture recognition is exactly what Luca Del Tongo demonstrated in the video you linked to, namely cvConvexityDefects() . You might want to extract the hand mask using color-space filtering (as suggested in the video), and using ML