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In a multi-touch environment, how does gesture recognition work? What mathematical methods or algorithms are utilized to recognize or reject data for possible gestures?
I've created some retro-reflective gloves and an IR LED array, coupled with a Wii remote. The Wii remote does internal blob detection and tracks 4 points of IR light and transmits this information to my computer via a bluetooth dongle.
This is based off Johnny Chung Lee's Wii Research. My precise setup is exactly like the graduate students from the Netherlands displayed here. I can easily track 4 point's positions in 2d space and I've written my basic software to receive and visualize these points.
The Netherlands students have gotten a lot of functionality out of their basic pinch-click recognition. I'd like to take it a step further if I could, and implement some other gestures.
How is gesture recognition usually implemented? Beyond anything trivial, how could I write software to recognize and identify a variety of gestures: various swipes, circular movements, letter tracing, etc.
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In this study, we propose the gesture recognition algorithm using support vector machines (SVM) and histogram of oriented gradient (HOG). Besides, we also use the CNN model to classify gestures. We approach and select techniques of applying problem controlling for the robotic system.
Areas of application of hand gesture recognition systems such as clinic and health, sign language recognition, intellectual observation, robot management, virtual environment, home automation, personal computer and tablet, game gestures are described by detail in Munir Oudah (2020) [63].
Gesture recognition is the fast growing field in image processing and artificial technology. The gesture recognition is a process in which the gestures or postures of human body parts are identified and are used to control computers and other electronic appliances.
A gesture recognition system starts with a camera pointed at a specific three-dimensional zone within the vehicle, capturing frame-by-frame images of hand positions and motions. This camera is typically mounted in the roof module or other vantage point that is unlikely to be obstructed.
Gesture recognition, as I've seen it anyway, is usually implemented using machine learning techniques similar to image recognition software. Here's a cool project on codeproject about doing mouse gesture recognition in c#. I'm sure the concepts are quite similar since you can likely reduce the problem down to 2D space. If you get something working with this, I'd love to see it. Great project idea!
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