1 00:00:00,840 --> 00:00:03,199 the microbit machine learning tool lets 2 00:00:03,199 --> 00:00:05,960 you train test and improve a machine 3 00:00:05,960 --> 00:00:07,879 learning model that can recognize 4 00:00:07,879 --> 00:00:09,960 different actions or 5 00:00:09,960 --> 00:00:13,040 movements here's a quick tour of how it 6 00:00:13,040 --> 00:00:16,880 works you'll need two microbits you'll 7 00:00:16,880 --> 00:00:19,240 hold or wear the first 8 00:00:19,240 --> 00:00:21,439 microbit follow the instructions on 9 00:00:21,439 --> 00:00:25,400 screen for setting up microbit 10 00:00:26,080 --> 00:00:29,279 one then unplug it and attach a battery 11 00:00:29,279 --> 00:00:31,960 pack if you have a wrist strap you can 12 00:00:31,960 --> 00:00:35,480 attach microbit one to your 13 00:00:36,480 --> 00:00:39,360 arm the second microbit stays connected 14 00:00:39,360 --> 00:00:42,360 to your computer with a USB cable follow 15 00:00:42,360 --> 00:00:44,200 the instructions on screen for setting 16 00:00:44,200 --> 00:00:47,000 up microbit 17 00:00:47,559 --> 00:00:50,239 2 at the bottom of the screen you'll see 18 00:00:50,239 --> 00:00:52,840 live movement data from microbit 1's 19 00:00:52,840 --> 00:00:54,280 accelerometer 20 00:00:54,280 --> 00:00:57,120 sensor each colored line represents a 21 00:00:57,120 --> 00:00:59,440 different direction or Dimension you're 22 00:00:59,440 --> 00:01:01,399 moving the microbit 23 00:01:01,399 --> 00:01:04,560 in Step One add some 24 00:01:04,560 --> 00:01:07,320 data decide which actions you want the 25 00:01:07,320 --> 00:01:09,000 microbit machine learning tool to 26 00:01:09,000 --> 00:01:12,119 recognize clapping and waving are good 27 00:01:12,119 --> 00:01:13,479 ones to start 28 00:01:13,479 --> 00:01:17,560 with name your first action then start 29 00:01:17,560 --> 00:01:20,159 moving click the red button to collect 30 00:01:20,159 --> 00:01:23,159 your first sample of 31 00:01:25,079 --> 00:01:28,520 data collect at least three samples of 32 00:01:28,520 --> 00:01:31,840 your first action 33 00:01:34,399 --> 00:01:38,680 and do the same for at least one other 34 00:01:42,600 --> 00:01:46,320 action step two train the model this 35 00:01:46,320 --> 00:01:48,159 means that the machine learning tool 36 00:01:48,159 --> 00:01:51,040 makes a set of rules to estimate which 37 00:01:51,040 --> 00:01:55,360 action you're doing when moving microbit 38 00:01:55,640 --> 00:02:00,399 one step three test the model try making 39 00:02:00,399 --> 00:02:03,799 each of your actions the screen shows 40 00:02:03,799 --> 00:02:06,039 which action the model estimates that 41 00:02:06,039 --> 00:02:09,200 you're making the percentage number is 42 00:02:09,200 --> 00:02:13,319 how confident or sure the model 43 00:02:13,319 --> 00:02:16,280 is now try it yourself and see what 44 00:02:16,280 --> 00:02:17,959 different movements you can train the 45 00:02:17,959 --> 00:02:20,800 microbit machine learning tool to 46 00:02:20,800 --> 00:02:23,800 recognize