I collected about 20 seconds of accelerometer sensor data and segmented it into 2-second samples using a time-series CSV template. However, I found that the number of actions within each sample is inconsistent — as shown in the image I uploaded, some samples contain one action, while others contain two or even three.
I’d like to know whether this kind of mixed data would affect the performance of the trained AI model. Should I instead try to make sure that each sample contains the same number of actions?