Martin / Tutorial: Continuous motion recognition Public

Test data

Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Anomaly Accuracy Result
wave.33ii1nhk wave 10s -0.28 100% 101 wave
idle.33ihm56r idle 10s -0.26 100% 101 idle
snake.33ihdsrj snake 10s -0.17 100% 101 snake
updown.33ihcn7n updown 10s -0.11 99% 100 updown, 1 uncertain
updown.33ih0kqt updown 10s -0.23 97% 98 updown, 3 anomaly
wave.33igvpe8 wave 10s -0.21 100% 101 wave
snake.33igrsc0 snake 10s -0.13 100% 101 snake
snake.33igr5nr snake 10s -0.11 100% 101 snake
updown.33igqb6d updown 10s -0.12 100% 101 updown
wave.33igpfbd wave 10s -0.19 100% 101 wave
idle.33igolv3 idle 10s -0.26 100% 101 idle
idle.33igo1ff idle 10s -0.26 100% 101 idle

Model testing output

Model testing results

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