Hi,
I am building a gesture recognition based on a thermal sensor.
My classification results are much worse when hand gestures are performed and the thermal sensor is “seeing” the body of the person too.
I tried to fix this by creating a class that can identify the background heat signature of someones body, but now my model only classifies the body because it covers more of the sensor than any hand gesture.
The low resolution of 8x8 pixels makes this much harder.
Is there a way to get better results?
I had a similar question before after which I implemented a filter. While that made things much better in perfect conditions, I still cannot figure out how to solve this current issue.
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