A hand gesture recognition algorithm that allows you to control an Android device with a TI EZ430 Chronos Watch. This program is a framework that is open for extension to any gesture recognition task. All that is required is a training phase and recognition phase. None of the gesture are hard-coded in, but are instead classified based on recognized features of the trained gestures..
AndroidGestureRecognition is hosted in the following web site
https://github.com/davidmace/AndroidGestureRecognition
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The following table is the detailed list of AndroidGestureRecognition.
Item | Value |
---|---|
Java File Count | 23 |
Minimum SDK Version | 3 |
Activity Count | 2 |
Asset File Names | assets\data |
AndroidGestureRecognition has the following Java source files.
android_serialport_api.SerialPort.java android_serialport_api.SerialPortFinder.java dmace.gesture_recognition.Application.java dmace.gesture_recognition.Communicative.java dmace.gesture_recognition.ConsoleActivity.java dmace.gesture_recognition.DataStore.java dmace.gesture_recognition.FFTFinder.java dmace.gesture_recognition.FeatureExtractor.java dmace.gesture_recognition.MainMenu.java dmace.gesture_recognition.NeuralNetwork.java dmace.gesture_recognition.PreProcessor.java dmace.gesture_recognition.RotationNormalizer.java dmace.gesture_recognition.UpdateThread.java dmace.gesture_recognition.UserGestureStore.java dmace.gesture_recognition.Vector3.java dmace.gesture_recognition.WatchCommunication.java