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pythonartificial-intelligenceaccelerometergesturegesture-recognition

DTW for 3D gesture recognition

I'm using DTW to compare gestures in 3D space, relying on 3axis accelerometer data, using Python MLPY module.

I'm in doubt whether I need to apply DTW to each axis (x, y, z) independently and then sum up the resulting costs or there is some way to combine the axis before running DTW. I think just running DTW on the norm of the vector is misleading, as this way you would just discard useful information.

What would you suggest?

Solution

  • I would use the Eucledian distance, see at the bottom of my earlier answer.