WEBVTT 00:00:00.000 --> 00:00:04.750 align:middle line:90% 00:00:04.750 --> 00:00:05.450 align:middle line:90% Hello. 00:00:05.450 --> 00:00:08.290 align:middle line:84% In this video, we will look at mobile technologies 00:00:08.290 --> 00:00:12.550 align:middle line:84% for studying music and body motion. 00:00:12.550 --> 00:00:14.170 align:middle line:84% In the laboratory setting, we are 00:00:14.170 --> 00:00:19.090 align:middle line:84% able to use highly advanced infrared optical motion capture 00:00:19.090 --> 00:00:24.100 align:middle line:84% systems to study very precisely how people move to music. 00:00:24.100 --> 00:00:27.400 align:middle line:84% But sometimes, we need to go outside the lab 00:00:27.400 --> 00:00:30.670 align:middle line:84% and study how people move in the real world. 00:00:30.670 --> 00:00:35.170 align:middle line:84% How people move while listening to music on the metro, 00:00:35.170 --> 00:00:38.740 align:middle line:84% on the bus, or in the dance club. 00:00:38.740 --> 00:00:41.290 align:middle line:84% For this reason, we need to have some sort 00:00:41.290 --> 00:00:47.140 align:middle line:84% of mobile technology for studying music and body motion. 00:00:47.140 --> 00:00:49.150 align:middle line:84% In front of me, I have a couple of examples 00:00:49.150 --> 00:00:51.050 align:middle line:90% of such technologies. 00:00:51.050 --> 00:00:52.900 align:middle line:84% One of the advantages of this system 00:00:52.900 --> 00:00:55.640 align:middle line:84% is that it can be very, very small, 00:00:55.640 --> 00:00:58.330 align:middle line:90% such as this accelerometer. 00:00:58.330 --> 00:01:02.290 align:middle line:84% Imagine studying body motion in a dance club, where 00:01:02.290 --> 00:01:05.740 align:middle line:84% you can put this in the pocket of every dancer in the club. 00:01:05.740 --> 00:01:07.960 align:middle line:84% And you get some data on how they move, 00:01:07.960 --> 00:01:11.260 align:middle line:84% and can see how this relates to the music 00:01:11.260 --> 00:01:15.520 align:middle line:84% and how they compare to each other. 00:01:15.520 --> 00:01:19.870 align:middle line:84% Accelerometers and gyroscopes, and also magnetometers, 00:01:19.870 --> 00:01:25.430 align:middle line:84% are inside basically every mobile phone these days. 00:01:25.430 --> 00:01:30.730 align:middle line:84% And so everybody, in practise, has their own motion capture 00:01:30.730 --> 00:01:35.260 align:middle line:84% technology that they carry around. 00:01:35.260 --> 00:01:37.520 align:middle line:84% More specialised systems also exist, 00:01:37.520 --> 00:01:43.330 align:middle line:84% such as this bracelet which contains sensors that measure 00:01:43.330 --> 00:01:44.590 align:middle line:90% muscle tension. 00:01:44.590 --> 00:01:48.070 align:middle line:84% In addition to this accelerometer and gyroscope 00:01:48.070 --> 00:01:53.260 align:middle line:84% that lets you measure the direction of the bracelet, 00:01:53.260 --> 00:01:58.750 align:middle line:84% and also how fast it accelerates. 00:01:58.750 --> 00:01:59.410 align:middle line:90% Like this. 00:01:59.410 --> 00:02:02.500 align:middle line:84% So it will tell you which direction I point 00:02:02.500 --> 00:02:06.400 align:middle line:84% and how I turn my hand, because of the muscle sensors. 00:02:06.400 --> 00:02:10.669 align:middle line:90% 00:02:10.669 --> 00:02:15.560 align:middle line:84% This suit is a motion capture suit from Xsens Technologies. 00:02:15.560 --> 00:02:20.770 align:middle line:84% It contains 17 of these orange sensors. 00:02:20.770 --> 00:02:25.060 align:middle line:84% And inside each of these there is a magnetometer, 00:02:25.060 --> 00:02:29.080 align:middle line:84% and a gyroscope, and accelerometer, 00:02:29.080 --> 00:02:32.170 align:middle line:84% which measures inertia, and acceleration, 00:02:32.170 --> 00:02:34.570 align:middle line:90% and the magnetic flux. 00:02:34.570 --> 00:02:38.140 align:middle line:90% Or basically, a compass. 00:02:38.140 --> 00:02:43.330 align:middle line:84% Combining 17 of these sensors with a model of a human body, 00:02:43.330 --> 00:02:47.110 align:middle line:84% saying that, for instance, this sensor and this sensor 00:02:47.110 --> 00:02:49.840 align:middle line:84% can move further apart than this. 00:02:49.840 --> 00:02:54.760 align:middle line:84% And this sensor and this sensor can only move in this angle. 00:02:54.760 --> 00:02:58.480 align:middle line:84% It's possible to get an estimation of how 00:02:58.480 --> 00:03:04.400 align:middle line:84% the pose of the person is at any time. 00:03:04.400 --> 00:03:08.020 align:middle line:84% And the result you get is quite good, actually, 00:03:08.020 --> 00:03:10.940 align:middle line:84% from thinking that this type of technology 00:03:10.940 --> 00:03:13.630 align:middle line:90% there are no cameras involved. 00:03:13.630 --> 00:03:17.710 align:middle line:84% The system is portable, with two senders like this. 00:03:17.710 --> 00:03:21.700 align:middle line:84% And it's possible to move quite far 00:03:21.700 --> 00:03:27.100 align:middle line:84% away from the transmitter, which is right next to our computer. 00:03:27.100 --> 00:03:30.970 align:middle line:84% So looking at the screen now, my hand is upright 00:03:30.970 --> 00:03:33.700 align:middle line:84% and the avatar is following my movements. 00:03:33.700 --> 00:03:36.355 align:middle line:84% We tested it up to 50 metres without problems. 00:03:36.355 --> 00:03:39.550 align:middle line:90% 00:03:39.550 --> 00:03:42.790 align:middle line:84% One small problem with this system is that it's drifting. 00:03:42.790 --> 00:03:46.330 align:middle line:84% So if you move around a lot and go back to the same place, 00:03:46.330 --> 00:03:50.740 align:middle line:84% you will possibly have a result that diverges slightly. 00:03:50.740 --> 00:03:56.440 align:middle line:84% And also, it's not able to give you a millimetre position 00:03:56.440 --> 00:03:59.740 align:middle line:84% like you'll get in the optical systems. 00:03:59.740 --> 00:04:04.930 align:middle line:84% Still, it's remarkably good and absolutely a good way 00:04:04.930 --> 00:04:07.780 align:middle line:90% of measuring body movements. 00:04:07.780 --> 00:04:10.300 align:middle line:84% What you can see here is that there's quite a lot of cables. 00:04:10.300 --> 00:04:15.340 align:middle line:84% So using it in, for instance, a stage performance 00:04:15.340 --> 00:04:18.339 align:middle line:84% requires that you are aware of your system, 00:04:18.339 --> 00:04:21.190 align:middle line:84% and you will not be able to move as freely 00:04:21.190 --> 00:04:23.290 align:middle line:90% as without the system. 00:04:23.290 --> 00:04:25.660 align:middle line:84% But we have used it in several performances, 00:04:25.660 --> 00:04:30.040 align:middle line:84% and you can use it as a DJ to control DJ sets 00:04:30.040 --> 00:04:31.390 align:middle line:90% or as a musical instrument. 00:04:31.390 --> 00:04:33.540 align:middle line:90% [MUSIC PLAYS] 00:04:33.540 --> 00:04:52.000 align:middle line:90%