Methods of gesture 1D recognition using smartphone gyroscope sensors

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I'm doing some gesture recognition from smartphone gyroscope sensor. As you can see other picture there are 2 gestures types A and B. Yellow lines just show which part of sensor data should be detected.

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Detecting gesture B is pretty easy with just a simple threshold. However gesture A is more tricky because the slope of peaks are more gentle and there is also "bounce back" peaks. Besides there can be to A gestures close to each other (like shown on the end of above graph).

I'm quite new to pattern recognitions and wondering is somebody could give tips for ideas/keywords/algorithms/links I should explore in this case. I would prefer avoiding using pattern recognition based on training (neural networks etc.) and need to detect those realtime with minimum latency (so cannot use running average to smooth the signals).

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user2959348 On