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TOAK Readme TOAK is a tool for visualization and analysis of EMA-based datasets. In its current form, it works well with the EMA-MAE data set from Ji, Johnson, and Berry created at Marquette University. The program runs using visualizationTool.py, which is the main window for the program. The code is well-commented and contains a description of each of the components at the top of each file. In its current form, the sensorDataView class does not fit well into the main window, but this will be fixed shortly. Generally, the program works well for visualization and basic analysis of articulatory kinematics.
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Tool for Observation of Articulatory Kinematics. Visualization tool for EMA data
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- Python 52.3%
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