WEBVTT 00:00:00.000 --> 00:00:04.750 align:middle line:90% 00:00:04.750 --> 00:00:07.570 align:middle line:90% Quantitative movement analysis. 00:00:07.570 --> 00:00:10.300 align:middle line:84% In addition to qualitative analysis techniques, 00:00:10.300 --> 00:00:13.250 align:middle line:84% such as the lab annotation and lab and movement analysis, 00:00:13.250 --> 00:00:15.250 align:middle line:84% there are also numerous methods and technologies 00:00:15.250 --> 00:00:17.860 align:middle line:84% for numerical recording or music-led motion, 00:00:17.860 --> 00:00:20.440 align:middle line:84% or what is often called motion capture. 00:00:20.440 --> 00:00:22.990 align:middle line:84% Very generally, we will talk about two main types 00:00:22.990 --> 00:00:25.270 align:middle line:90% of technologies. 00:00:25.270 --> 00:00:27.760 align:middle line:84% We have the camera-based systems, 00:00:27.760 --> 00:00:30.370 align:middle line:84% and we have the sensor-based systems. 00:00:30.370 --> 00:00:33.727 align:middle line:84% And each of these have a few subcategories. 00:00:33.727 --> 00:00:35.560 align:middle line:84% First we are going to look a little bit more 00:00:35.560 --> 00:00:37.810 align:middle line:90% at the camera-based systems. 00:00:37.810 --> 00:00:40.030 align:middle line:84% The great thing about cameras is that they 00:00:40.030 --> 00:00:43.330 align:middle line:84% are an easy, fast, cheap, and not the least, available 00:00:43.330 --> 00:00:45.670 align:middle line:84% solution to working systematically 00:00:45.670 --> 00:00:48.220 align:middle line:84% with the study of music related motion. 00:00:48.220 --> 00:00:49.900 align:middle line:90% [BACKGROUND VIDEO CHATTER] 00:00:49.900 --> 00:00:53.230 align:middle line:84% Nowadays everyone has access to high quality video cameras, 00:00:53.230 --> 00:00:55.420 align:middle line:90% even in their mobile phones. 00:00:55.420 --> 00:00:57.940 align:middle line:84% And the cost of professional quality video cameras 00:00:57.940 --> 00:01:00.640 align:middle line:84% is also within the reach for many. 00:01:00.640 --> 00:01:02.230 align:middle line:84% But in the world of motion capture, 00:01:02.230 --> 00:01:05.050 align:middle line:84% there are many other types of camera-based systems 00:01:05.050 --> 00:01:08.340 align:middle line:90% beyond the regular cameras. 00:01:08.340 --> 00:01:11.280 align:middle line:84% Here we often talk about two different types of variables 00:01:11.280 --> 00:01:13.968 align:middle line:84% that we need to take into account. 00:01:13.968 --> 00:01:15.510 align:middle line:84% The first one is whether we are going 00:01:15.510 --> 00:01:18.270 align:middle line:84% to use cameras that capture the same thing that we see, 00:01:18.270 --> 00:01:20.490 align:middle line:84% that is, regular light, or use cameras 00:01:20.490 --> 00:01:23.257 align:middle line:84% that record, for example, only the infrared light. 00:01:23.257 --> 00:01:24.450 align:middle line:90% [CLUB MUSIC] 00:01:24.450 --> 00:01:26.172 align:middle line:84% Infrared cameras can, for example, 00:01:26.172 --> 00:01:27.630 align:middle line:84% be very useful if you want to study 00:01:27.630 --> 00:01:30.210 align:middle line:84% people dancing in a dark club or other types 00:01:30.210 --> 00:01:34.420 align:middle line:90% of dark environments. 00:01:34.420 --> 00:01:35.940 align:middle line:84% The second we need to think about 00:01:35.940 --> 00:01:39.380 align:middle line:84% is whether we are using markers on the body or not. 00:01:39.380 --> 00:01:42.590 align:middle line:84% Markers can help identify people or specific body parts 00:01:42.590 --> 00:01:46.220 align:middle line:84% in a much more detailed way than a marker-less system can. 00:01:46.220 --> 00:01:48.020 align:middle line:84% Of course, putting markers on a body 00:01:48.020 --> 00:01:50.578 align:middle line:84% makes the whole setup much more complex. 00:01:50.578 --> 00:01:52.370 align:middle line:84% We're later going to look at demonstrations 00:01:52.370 --> 00:01:54.350 align:middle line:84% of how both regular cameras and a more 00:01:54.350 --> 00:01:56.780 align:middle line:84% advanced camera-based motion capture system 00:01:56.780 --> 00:02:00.130 align:middle line:84% can be used to capture human motion. 00:02:00.130 --> 00:02:02.770 align:middle line:84% But first let us talk a little bit about sensor-based motion 00:02:02.770 --> 00:02:03.640 align:middle line:90% capture. 00:02:03.640 --> 00:02:08.449 align:middle line:84% Sensor-based systems are built around sensors. 00:02:08.449 --> 00:02:09.860 align:middle line:84% And here again there are a number 00:02:09.860 --> 00:02:12.680 align:middle line:84% of different types of technologies, 00:02:12.680 --> 00:02:16.070 align:middle line:84% such as acoustic sensors, mechanical sensors, 00:02:16.070 --> 00:02:18.860 align:middle line:84% magnetic sensors, inertial sensors, 00:02:18.860 --> 00:02:21.110 align:middle line:90% and electrical sensors. 00:02:21.110 --> 00:02:22.730 align:middle line:84% Common to all of these is that they 00:02:22.730 --> 00:02:25.430 align:middle line:84% require to be put on the body of the people 00:02:25.430 --> 00:02:27.620 align:middle line:84% to be studied, which makes them less 00:02:27.620 --> 00:02:30.620 align:middle line:84% attractive for many musical applications. 00:02:30.620 --> 00:02:33.430 align:middle line:84% However, as the technologies are constantly 00:02:33.430 --> 00:02:36.430 align:middle line:84% getting smaller, faster, and more reliable, 00:02:36.430 --> 00:02:40.682 align:middle line:84% they are still very interesting to use also musical contexts. 00:02:40.682 --> 00:02:42.140 align:middle line:84% In this course, we will demonstrate 00:02:42.140 --> 00:02:44.500 align:middle line:84% [GUITAR PLAYING] only one type of these systems, 00:02:44.500 --> 00:02:47.030 align:middle line:90% the inertial ones. 00:02:47.030 --> 00:02:49.910 align:middle line:84% But first, to conclude, there are a number 00:02:49.910 --> 00:02:51.830 align:middle line:84% of analytical approaches and technologies 00:02:51.830 --> 00:02:54.260 align:middle line:84% available for studying music related motion. 00:02:54.260 --> 00:02:58.420 align:middle line:84% And these are ranging from qualitative to quantitative, 00:02:58.420 --> 00:03:02.950 align:middle line:84% from cheap to expensive, from small to large, 00:03:02.950 --> 00:03:06.090 align:middle line:90% and from simple to advanced. 00:03:06.090 --> 00:03:09.390 align:middle line:84% It is impossible to give one answer to what type of method 00:03:09.390 --> 00:03:11.280 align:middle line:90% or technology to use. 00:03:11.280 --> 00:03:15.520 align:middle line:84% They all have their strengths and their weaknesses. 00:03:15.520 --> 00:03:18.550 align:middle line:84% For that reason, it is important to decide on the right analysis 00:03:18.550 --> 00:03:21.340 align:middle line:90% method for the question at hand. 00:03:21.340 --> 00:03:23.320 align:middle line:84% And the perhaps most important factor 00:03:23.320 --> 00:03:25.060 align:middle line:84% that should be taken into account 00:03:25.060 --> 00:03:28.660 align:middle line:84% is whether to work in a controlled laboratory setting 00:03:28.660 --> 00:03:34.550 align:middle line:84% or in a more ecological setting, such as a concert hall. 00:03:34.550 --> 00:03:36.590 align:middle line:84% This will to a large extent guide 00:03:36.590 --> 00:03:38.360 align:middle line:90% which methods and tools to use. 00:03:38.360 --> 00:03:41.010 align:middle line:90% 00:03:41.010 --> 00:03:43.020 align:middle line:84% We can say that more specialised motion capture 00:03:43.020 --> 00:03:46.800 align:middle line:84% systems, like for example infrared, marker-based systems, 00:03:46.800 --> 00:03:50.220 align:middle line:84% or the electromagnetic systems, and various types 00:03:50.220 --> 00:03:54.000 align:middle line:84% of those inertial sensors often provide the highest recording 00:03:54.000 --> 00:03:58.450 align:middle line:84% speeds and also very high spatial accuracy and precision. 00:03:58.450 --> 00:04:02.380 align:middle line:84% But such systems also come with several drawbacks. 00:04:02.380 --> 00:04:03.510 align:middle line:90% Price is one. 00:04:03.510 --> 00:04:07.330 align:middle line:84% Although such systems have quickly become more affordable. 00:04:07.330 --> 00:04:09.720 align:middle line:84% More problematic is that the person being studied 00:04:09.720 --> 00:04:12.390 align:middle line:84% has to wear markers, sensors on the body, 00:04:12.390 --> 00:04:15.390 align:middle line:84% something that may be both alienating to the performer 00:04:15.390 --> 00:04:18.398 align:middle line:84% and obtrusive to the motion being performed. 00:04:18.398 --> 00:04:19.440 align:middle line:90% [CABLES AND VELCRO NOISE] 00:04:19.440 --> 00:04:21.110 align:middle line:84% This is particularly problematic when 00:04:21.110 --> 00:04:23.450 align:middle line:84% using electromagnetic and mechanical systems 00:04:23.450 --> 00:04:27.438 align:middle line:84% with fairly large and heavy sensors and cables. 00:04:27.438 --> 00:04:27.980 align:middle line:90% [PIANO MUSIC] 00:04:27.980 --> 00:04:31.250 align:middle line:84% But also the lightweight reflective markers 00:04:31.250 --> 00:04:33.260 align:middle line:84% typically used in optical infrared systems 00:04:33.260 --> 00:04:36.860 align:middle line:84% are noticed by the performer, albeit to a lesser degree. 00:04:36.860 --> 00:04:39.380 align:middle line:84% The perhaps biggest challenge with the larger systems 00:04:39.380 --> 00:04:42.110 align:middle line:84% is the non-ecological setting they require. 00:04:42.110 --> 00:04:45.230 align:middle line:84% While small inertial systems, on the other hand, 00:04:45.230 --> 00:04:48.710 align:middle line:84% can be mobile, wireless, and more or less invisible, 00:04:48.710 --> 00:04:51.330 align:middle line:84% although the physical sensors need to be placed on the body. 00:04:51.330 --> 00:04:52.560 align:middle line:90% [GUITAR MUSIC] 00:04:52.560 --> 00:04:55.250 align:middle line:84% So if the aim is to study musicians in the real world 00:04:55.250 --> 00:04:58.130 align:middle line:84% concert situation, playing video recordings 00:04:58.130 --> 00:05:01.030 align:middle line:84% may be the only realistic solution. 00:05:01.030 --> 00:05:03.000 align:middle line:90%