0:00:00.840,0:00:03.199 the microbit machine learning tool lets 0:00:03.199,0:00:05.960 you train test and improve a machine 0:00:05.960,0:00:07.879 learning model that can recognize 0:00:07.879,0:00:09.960 different actions or 0:00:09.960,0:00:13.040 movements here's a quick tour of how it 0:00:13.040,0:00:16.880 works you'll need two microbits you'll 0:00:16.880,0:00:19.240 hold or wear the first 0:00:19.240,0:00:21.439 microbit follow the instructions on 0:00:21.439,0:00:25.400 screen for setting up microbit 0:00:26.080,0:00:29.279 one then unplug it and attach a battery 0:00:29.279,0:00:31.960 pack if you have a wrist strap you can 0:00:31.960,0:00:35.480 attach microbit one to your 0:00:36.480,0:00:39.360 arm the second microbit stays connected 0:00:39.360,0:00:42.360 to your computer with a USB cable follow 0:00:42.360,0:00:44.200 the instructions on screen for setting 0:00:44.200,0:00:47.000 up microbit 0:00:47.559,0:00:50.239 2 at the bottom of the screen you'll see 0:00:50.239,0:00:52.840 live movement data from microbit 1's 0:00:52.840,0:00:54.280 accelerometer 0:00:54.280,0:00:57.120 sensor each colored line represents a 0:00:57.120,0:00:59.440 different direction or Dimension you're 0:00:59.440,0:01:01.399 moving the microbit 0:01:01.399,0:01:04.560 in Step One add some 0:01:04.560,0:01:07.320 data decide which actions you want the 0:01:07.320,0:01:09.000 microbit machine learning tool to 0:01:09.000,0:01:12.119 recognize clapping and waving are good 0:01:12.119,0:01:13.479 ones to start 0:01:13.479,0:01:17.560 with name your first action then start 0:01:17.560,0:01:20.159 moving click the red button to collect 0:01:20.159,0:01:23.159 your first sample of 0:01:25.079,0:01:28.520 data collect at least three samples of 0:01:28.520,0:01:31.840 your first action 0:01:34.399,0:01:38.680 and do the same for at least one other 0:01:42.600,0:01:46.320 action step two train the model this 0:01:46.320,0:01:48.159 means that the machine learning tool 0:01:48.159,0:01:51.040 makes a set of rules to estimate which 0:01:51.040,0:01:55.360 action you're doing when moving microbit 0:01:55.640,0:02:00.399 one step three test the model try making 0:02:00.399,0:02:03.799 each of your actions the screen shows 0:02:03.799,0:02:06.039 which action the model estimates that 0:02:06.039,0:02:09.200 you're making the percentage number is 0:02:09.200,0:02:13.319 how confident or sure the model 0:02:13.319,0:02:16.280 is now try it yourself and see what 0:02:16.280,0:02:17.959 different movements you can train the 0:02:17.959,0:02:20.800 microbit machine learning tool to 0:02:20.800,0:02:23.800 recognize