1 00:00:00,000 --> 00:00:02,000 The first idea I'd like to suggest is that we all 2 00:00:02,000 --> 00:00:05,000 love music a great deal. It means a lot to us. 3 00:00:05,000 --> 00:00:11,000 But music is even more powerful if you don't just listen to it, but you make it yourself. 4 00:00:11,000 --> 00:00:14,000 So, that's my first idea. And we all know about the Mozart effect -- 5 00:00:14,000 --> 00:00:17,000 the idea that's been around for the last five to 10 years -- 6 00:00:17,000 --> 00:00:21,000 that just by listening to music or by playing music to your baby [in utero], 7 00:00:21,000 --> 00:00:25,000 that it'll raise our IQ points 10, 20, 30 percent. 8 00:00:25,000 --> 00:00:28,000 Great idea, but it doesn't work at all. 9 00:00:28,000 --> 00:00:31,000 So, you can't just listen to music, you have to make it somehow. 10 00:00:31,000 --> 00:00:35,000 And I'd add to that, that it's not just making it, 11 00:00:35,000 --> 00:00:37,000 but everybody, each of us, everybody in the world 12 00:00:37,000 --> 00:00:41,000 has the power to create and be part of music in a very dynamic way, 13 00:00:41,000 --> 00:00:43,000 and that's one of the main parts of my work. 14 00:00:43,000 --> 00:00:45,000 So, with the MIT Media Lab, for quite a while now, 15 00:00:45,000 --> 00:00:47,000 we've been engaged in a field called active music. 16 00:00:47,000 --> 00:00:49,000 What are all the possible ways that we can think of 17 00:00:49,000 --> 00:00:52,000 to get everybody in the middle of a musical experience, 18 00:00:52,000 --> 00:00:55,000 not just listening, but making music? 19 00:00:55,000 --> 00:00:58,000 And we started by making instruments for some of the world's greatest performers -- 20 00:00:58,000 --> 00:01:01,000 we call these hyperinstruments -- for Yo-Yo Ma, Peter Gabriel, Prince, 21 00:01:01,000 --> 00:01:05,000 orchestras, rock bands. Instruments where they're all kinds of sensors 22 00:01:05,000 --> 00:01:08,000 built right into the instrument, so the instrument knows how it's being played. 23 00:01:08,000 --> 00:01:11,000 And just by changing the interpretation and the feeling, 24 00:01:11,000 --> 00:01:14,000 I can turn my cello into a voice, or into a whole orchestra, 25 00:01:14,000 --> 00:01:17,000 or into something that nobody has ever heard before. 26 00:01:17,000 --> 00:01:19,000 When we started making these, I started thinking, why can't we make 27 00:01:19,000 --> 00:01:21,000 wonderful instruments like that for everybody, 28 00:01:21,000 --> 00:01:25,000 people who aren't fantastic Yo-Yo Mas or Princes? 29 00:01:25,000 --> 00:01:27,000 So, we've made a whole series of instruments. 30 00:01:27,000 --> 00:01:30,000 One of the largest collections is called the Brain Opera. 31 00:01:30,000 --> 00:01:32,000 It's a whole orchestra of about 100 instruments, 32 00:01:32,000 --> 00:01:35,000 all designed for anybody to play using natural skill. 33 00:01:35,000 --> 00:01:38,000 So, you can play a video game, drive through a piece of music, 34 00:01:38,000 --> 00:01:41,000 use your body gesture to control huge masses of sound, 35 00:01:41,000 --> 00:01:46,000 touch a special surface to make melodies, use your voice to make a whole aura. 36 00:01:46,000 --> 00:01:48,000 And when we make the Brain Opera, we invite the public to come in, 37 00:01:48,000 --> 00:01:51,000 to try these instruments and then collaborate with us 38 00:01:51,000 --> 00:01:52,000 to help make each performance of the Brain Opera. 39 00:01:52,000 --> 00:01:55,000 We toured that for a long time. It is now permanently in Vienna, 40 00:01:55,000 --> 00:01:57,000 where we built a museum around it. 41 00:01:57,000 --> 00:02:00,000 And that led to something which you probably do know. 42 00:02:00,000 --> 00:02:01,000 Guitar Hero came out of our lab, 43 00:02:01,000 --> 00:02:04,000 and my two teenage daughters and most of the students at the MIT Media Lab 44 00:02:04,000 --> 00:02:07,000 are proof that if you make the right kind of interface, 45 00:02:07,000 --> 00:02:11,000 people are really interested in being in the middle of a piece of music, 46 00:02:11,000 --> 00:02:14,000 and playing it over and over and over again. 47 00:02:14,000 --> 00:02:17,000 So, the model works, but it's only the tip of the iceberg, 48 00:02:17,000 --> 00:02:20,000 because my second idea is that it's not enough just to want 49 00:02:20,000 --> 00:02:23,000 to make music in something like Guitar Hero. 50 00:02:23,000 --> 00:02:26,000 And music is very fun, but it's also transformative. 51 00:02:26,000 --> 00:02:27,000 It's very, very important. 52 00:02:27,000 --> 00:02:30,000 Music can change your life, more than almost anything. 53 00:02:30,000 --> 00:02:32,000 It can change the way you communicate with others, 54 00:02:32,000 --> 00:02:35,000 it can change your body, it can change your mind. So, we're trying 55 00:02:35,000 --> 00:02:39,000 to go to the next step of how you build on top of something like Guitar Hero. 56 00:02:39,000 --> 00:02:42,000 We are very involved in education. We have a long-term project 57 00:02:42,000 --> 00:02:46,000 called Toy Symphony, where we make all kinds of instruments that are also addictive, 58 00:02:46,000 --> 00:02:50,000 but for little kids, so the kids will fall in love with making music, 59 00:02:50,000 --> 00:02:53,000 want to spend their time doing it, and then will demand to know how it works, 60 00:02:53,000 --> 00:02:56,000 how to make more, how to create. So, we make squeezy instruments, 61 00:02:56,000 --> 00:03:00,000 like these Music Shapers that measure the electricity in your fingers, 62 00:03:00,000 --> 00:03:03,000 Beatbugs that let you tap in rhythms -- they gather your rhythm, 63 00:03:03,000 --> 00:03:05,000 and like hot potato, you send your rhythm to your friends, 64 00:03:05,000 --> 00:03:08,000 who then have to imitate or respond to what your doing -- 65 00:03:08,000 --> 00:03:12,000 and a software package called Hyperscore, which lets anybody use lines and color 66 00:03:12,000 --> 00:03:16,000 to make quite sophisticated music. Extremely easy to use, but once you use it, 67 00:03:16,000 --> 00:03:20,000 you can go quite deep -- music in any style. And then, by pressing a button, 68 00:03:20,000 --> 00:03:26,000 it turns into music notation so that live musicians can play your pieces. 69 00:03:26,000 --> 00:03:29,000 We've had good enough, really, very powerful effects with kids 70 00:03:29,000 --> 00:03:32,000 around the world, and now people of all ages, using Hyperscore. 71 00:03:32,000 --> 00:03:36,000 So, we've gotten more and more interested in using these kinds of creative activities 72 00:03:36,000 --> 00:03:38,000 in a much broader context, for all kinds of people 73 00:03:38,000 --> 00:03:41,000 who don't usually have the opportunity to make music. 74 00:03:41,000 --> 00:03:42,000 So, one of the growing fields that we're working on 75 00:03:42,000 --> 00:03:45,000 at the Media Lab right now is music, mind and health. 76 00:03:45,000 --> 00:03:48,000 A lot of you have probably seen Oliver Sacks' wonderful new book called 77 00:03:48,000 --> 00:03:52,000 "Musicophilia". It's on sale in the bookstore. It's a great book. 78 00:03:52,000 --> 00:03:54,000 If you haven't seen it, it's worth reading. He's a pianist himself, 79 00:03:54,000 --> 00:03:58,000 and he details his whole career of looking at and observing 80 00:03:58,000 --> 00:04:03,000 incredibly powerful effects that music has had on peoples' lives in unusual situations. 81 00:04:03,000 --> 00:04:06,000 So we know, for instance, that music is almost always the last thing 82 00:04:06,000 --> 00:04:10,000 that people with advanced Alzheimer's can still respond to. 83 00:04:10,000 --> 00:04:12,000 Maybe many of you have noticed this with loved ones, 84 00:04:12,000 --> 00:04:14,000 you can find somebody who can't recognize their face in the mirror, 85 00:04:14,000 --> 00:04:17,000 or can't tell anyone in their family, but you can still find a shard of music 86 00:04:17,000 --> 00:04:21,000 that that person will jump out of the chair and start singing. And with that 87 00:04:21,000 --> 00:04:23,000 you can bring back parts of people's memories and personalities. 88 00:04:23,000 --> 00:04:27,000 Music is the best way to restore speech to people who have lost it through strokes, 89 00:04:27,000 --> 00:04:29,000 movement to people with Parkinson's disease. 90 00:04:29,000 --> 00:04:33,000 It's very powerful for depression, schizophrenia, many, many things. 91 00:04:33,000 --> 00:04:35,000 So, we're working on understanding those underlying principles 92 00:04:35,000 --> 00:04:39,000 and then building activities which will let music really improve people's health. 93 00:04:39,000 --> 00:04:42,000 And we do this in many ways. We work with many different hospitals. 94 00:04:42,000 --> 00:04:45,000 One of them is right near Boston, called Tewksbury Hospital. 95 00:04:45,000 --> 00:04:47,000 It's a long-term state hospital, where several years ago 96 00:04:47,000 --> 00:04:51,000 we started working with Hyperscore and patients with physical and mental disabilities. 97 00:04:51,000 --> 00:04:55,000 This has become a central part of the treatment at Tewksbury hospital, 98 00:04:55,000 --> 00:04:59,000 so everybody there clamors to work on musical activities. 99 00:04:59,000 --> 00:05:03,000 It's the activity that seems to accelerate people's treatment the most 100 00:05:03,000 --> 00:05:07,000 and it also brings the entire hospital together as a kind of musical community. 101 00:05:07,000 --> 00:05:11,000 I wanted to show you a quick video of some of this work before I go on. 102 00:05:52,000 --> 00:05:54,000 Video: They're manipulating each other's rhythms. 103 00:05:54,000 --> 00:05:58,000 It's a real experience, not only to learn how to play and listen to rhythms, 104 00:05:58,000 --> 00:06:03,000 but to train your musical memory and playing music in a group. 105 00:06:03,000 --> 00:06:07,000 To get their hands on music, to shape it themselves, change it, 106 00:06:07,000 --> 00:06:09,000 to experiment with it, to make their own music. 107 00:06:09,000 --> 00:06:13,000 So Hyperscore lets you start from scratch very quickly. 108 00:06:20,000 --> 00:06:22,000 Everybody can experience music in a profound way, 109 00:06:22,000 --> 00:06:24,000 we just have to make different tools. 110 00:06:41,000 --> 00:06:47,000 The third idea I want to share with you is that music, paradoxically, 111 00:06:47,000 --> 00:06:50,000 I think even more than words, is one of the very best ways we have 112 00:06:50,000 --> 00:06:54,000 of showing who we really are. I love giving talks, although 113 00:06:54,000 --> 00:06:56,000 strangely I feel more nervous giving talks than playing music. 114 00:06:56,000 --> 00:06:59,000 If I were here playing cello, or playing on a synth, or sharing my music with you, 115 00:06:59,000 --> 00:07:04,000 I'd be able to show things about myself that I can't tell you in words, 116 00:07:04,000 --> 00:07:07,000 more personal things, perhaps deeper things. 117 00:07:07,000 --> 00:07:10,000 I think that's true for many of us, and I want to give you two examples 118 00:07:10,000 --> 00:07:13,000 of how music is one of the most powerful interfaces we have, 119 00:07:13,000 --> 00:07:15,000 from ourselves to the outside world. 120 00:07:15,000 --> 00:07:19,000 The first is a really crazy project that we're building right now, called 121 00:07:19,000 --> 00:07:21,000 Death and the Powers. And it's a big opera, 122 00:07:21,000 --> 00:07:25,000 one of the larger opera projects going on in the world right now. 123 00:07:25,000 --> 00:07:30,000 And it's about a man, rich, successful, powerful, who wants to live forever. 124 00:07:30,000 --> 00:07:32,000 So, he figures out a way to download himself into his environment, 125 00:07:32,000 --> 00:07:35,000 actually into a series of books. 126 00:07:35,000 --> 00:07:38,000 So this guy wants to live forever, he downloads himself into his environment. 127 00:07:38,000 --> 00:07:42,000 The main singer disappears at the beginning of the opera 128 00:07:42,000 --> 00:07:46,000 and the entire stage becomes the main character. It becomes his legacy. 129 00:07:46,000 --> 00:07:49,000 And the opera is about what we can share, what we can pass on to others, 130 00:07:49,000 --> 00:07:51,000 to the people we love, and what we can't. 131 00:07:51,000 --> 00:07:55,000 Every object in the opera comes alive and is a gigantic music instrument, 132 00:07:55,000 --> 00:07:58,000 like this chandelier. It takes up the whole stage. It looks like a chandelier, 133 00:07:58,000 --> 00:08:00,000 but it's actually a robotic music instrument. 134 00:08:00,000 --> 00:08:04,000 So, as you can see in this prototype, gigantic piano strings, 135 00:08:04,000 --> 00:08:07,000 each string is controlled with a little robotic element -- 136 00:08:07,000 --> 00:08:12,000 either little bows that stroke the strings, propellers that tickle the strings, 137 00:08:12,000 --> 00:08:17,000 acoustic signals that vibrate the strings. We also have an army of robots on stage. 138 00:08:17,000 --> 00:08:21,000 These robots are the kind of the intermediary between the main character, Simon Powers, 139 00:08:21,000 --> 00:08:25,000 and his family. There are a whole series of them, kind of like a Greek chorus. 140 00:08:25,000 --> 00:08:30,000 They observe the action. We've designed these square robots that we're testing right now 141 00:08:30,000 --> 00:08:33,000 at MIT called OperaBots. These OperaBots follow my music. 142 00:08:33,000 --> 00:08:36,000 They follow the characters. They're smart enough, we hope, 143 00:08:36,000 --> 00:08:39,000 not to bump into each other. They go off on their own. 144 00:08:39,000 --> 00:08:45,000 And then they can also, when you snap, line up exactly the way you'd like to. 145 00:08:45,000 --> 00:08:47,000 Even though they're cubes, they actually have a lot of personality. 146 00:08:54,000 --> 00:08:58,000 The largest set piece in the opera is called The System. It's a series of books. 147 00:08:58,000 --> 00:09:02,000 Every single book is robotic, so they all move, they all make sound, 148 00:09:02,000 --> 00:09:06,000 and when you put them all together, they turn into these walls, 149 00:09:06,000 --> 00:09:11,000 which have the gesture and the personality of Simon Powers. So he's disappeared, 150 00:09:11,000 --> 00:09:14,000 but the whole physical environment becomes this person. 151 00:09:14,000 --> 00:09:17,000 This is how he's chosen to represent himself. 152 00:09:17,000 --> 00:09:24,000 The books also have high-packed LEDs on the spines. So it's all display. 153 00:09:24,000 --> 00:09:28,000 And here's the great baritone James Maddalena as he enters The System. 154 00:09:28,000 --> 00:09:29,000 This is a sneak preview. 155 00:09:53,000 --> 00:09:58,000 This premieres in Monaco -- it's in September 2009. If by any chance you can't make it, 156 00:09:58,000 --> 00:10:01,000 another idea with this project -- here's this guy building his legacy 157 00:10:01,000 --> 00:10:05,000 through this very unusual form, through music and through the environment. 158 00:10:05,000 --> 00:10:09,000 But we're also making this available both online and in public spaces, 159 00:10:09,000 --> 00:10:13,000 as a way of each of us to use music and images from our lives 160 00:10:13,000 --> 00:10:16,000 to make our own legacy or to make a legacy of someone we love. 161 00:10:16,000 --> 00:10:19,000 So instead of being grand opera, this opera will turn into what we're 162 00:10:19,000 --> 00:10:21,000 thinking of as personal opera. 163 00:10:21,000 --> 00:10:23,000 And, if you're going to make a personal opera, what about a personal instrument? 164 00:10:23,000 --> 00:10:26,000 Everything I've shown you so far -- whether it's a hyper-cello for Yo-Yo Ma 165 00:10:26,000 --> 00:10:31,000 or squeezy toy for a child -- the instruments stayed the same and are valuable 166 00:10:31,000 --> 00:10:34,000 for a certain class of person: a virtuoso, a child. 167 00:10:34,000 --> 00:10:37,000 But what if I could make an instrument that could be adapted 168 00:10:37,000 --> 00:10:41,000 to the way I personally behave, to the way my hands work, 169 00:10:41,000 --> 00:10:44,000 to what I do very skillfully, perhaps, to what I don't do so skillfully? 170 00:10:44,000 --> 00:10:49,000 I think that this is the future of interface, it's the future of music, the future of instruments. 171 00:10:49,000 --> 00:10:52,000 And I'd like now to invite two very special people on the stage, 172 00:10:52,000 --> 00:10:58,000 so that I can give you an example of what personal instruments might be like. 173 00:10:58,000 --> 00:11:03,000 So, can you give a hand to Adam Boulanger, Ph.D. student from 174 00:11:03,000 --> 00:11:10,000 the MIT Media Lab, and Dan Ellsey. Dan, 175 00:11:10,000 --> 00:11:17,000 thanks to TED and to Bombardier Flexjet, Dan is here with us today 176 00:11:17,000 --> 00:11:21,000 all the way from Tewksbury. He's a resident at Tewksbury Hospital. 177 00:11:21,000 --> 00:11:25,000 This is by far the farthest he's strayed from Tewksbury Hospital, I can tell you that, 178 00:11:25,000 --> 00:11:30,000 because he's motivated to meet with you today and show you his own music. 179 00:11:30,000 --> 00:11:34,000 So, first of all, Dan, do you want to say hi to everyone and tell everyone who you are? 180 00:11:39,000 --> 00:11:47,000 Dan Ellsey: Hello. My name is Dan Ellsey. I am 34 years old and I have cerebral palsy. 181 00:11:47,000 --> 00:11:53,000 I have always loved music and I am excited to be able to conduct 182 00:11:53,000 --> 00:11:55,000 my own music with this new software. 183 00:11:57,000 --> 00:12:08,000 Tod Machover: And we're really excited to have you here, really Dan. (Applause) 184 00:12:08,000 --> 00:12:11,000 So we met Dan about three years ago, three and a half years ago, 185 00:12:11,000 --> 00:12:16,000 when we started working at Tewksbury. Everybody we met there was fantastic, 186 00:12:16,000 --> 00:12:21,000 did fantastic music. Dan had never made music before, and it turned out 187 00:12:21,000 --> 00:12:28,000 he was really fantastic at it. He's a born composer. 188 00:12:28,000 --> 00:12:31,000 He's very shy, too. 189 00:12:31,000 --> 00:12:35,000 So, turned out he's a fantastic composer, and over the last few years has been 190 00:12:35,000 --> 00:12:38,000 a constant collaborator of ours. He has made many, many pieces. 191 00:12:38,000 --> 00:12:41,000 He makes his own CDs. Actually, he is quite well known in the Boston area -- 192 00:12:41,000 --> 00:12:45,000 mentors people at the hospital and children, locally, in how to make their own music. 193 00:12:45,000 --> 00:12:50,000 And I'll let Adam tell you. So, Adam is a Ph.D. student at MIT, an expert in music 194 00:12:50,000 --> 00:12:55,000 technology and medicine. And Adam and Dan have become close collaborators. 195 00:12:55,000 --> 00:12:59,000 What Adam's been working on for this last period is not only how to have Dan 196 00:12:59,000 --> 00:13:02,000 be able easily to make his own pieces, 197 00:13:02,000 --> 00:13:05,000 but how he can perform his piece using this kind of personal instrument. 198 00:13:05,000 --> 00:13:07,000 So, you want to say a little bit about how you guys work? 199 00:13:07,000 --> 00:13:10,000 Adam Boulanger: Yes. So, Tod and I entered into a discussion 200 00:13:10,000 --> 00:13:14,000 following the Tewksbury work and it was really about how Dan is an expressive 201 00:13:14,000 --> 00:13:19,000 person, and he's an intelligent and creative person. And it's in his face, 202 00:13:19,000 --> 00:13:22,000 it's in his breathing, it's in his eyes. How come he can't perform 203 00:13:22,000 --> 00:13:26,000 one of his pieces of music? That's our responsibility, and it doesn't make sense. 204 00:13:26,000 --> 00:13:29,000 So we started developing a technology that will allow him with nuance, 205 00:13:29,000 --> 00:13:34,000 with precision, with control, and despite his physical disability, to be able to do that, 206 00:13:34,000 --> 00:13:37,000 to be able to perform his piece of music. 207 00:13:37,000 --> 00:13:39,000 So, the process and the technology -- 208 00:13:39,000 --> 00:13:42,000 basically, first we needed an engineering solution. So, you know, 209 00:13:42,000 --> 00:13:45,000 we have a FireWire camera, it looked at an infrared pointer. 210 00:13:45,000 --> 00:13:49,000 We went with the type of gesture metaphor that Dan was already used to 211 00:13:49,000 --> 00:13:53,000 with his speaking controller. 212 00:13:53,000 --> 00:13:56,000 And this was actually the least interesting part of the work, you know, 213 00:13:56,000 --> 00:13:59,000 the design process. We needed an input; we needed continuous tracking; 214 00:13:59,000 --> 00:14:02,000 in the software, we look at the types of shapes he's making. 215 00:14:02,000 --> 00:14:06,000 But, then was the really interesting aspect of the work, following the engineering part, 216 00:14:06,000 --> 00:14:09,000 where, basically, we're coding over Dan's shoulder at the hospital 217 00:14:09,000 --> 00:14:12,000 extensively to figure out, you know, how does Dan move? 218 00:14:12,000 --> 00:14:14,000 What's useful to him as an expressive motion? 219 00:14:14,000 --> 00:14:17,000 You know, what's his metaphor for performance? 220 00:14:17,000 --> 00:14:19,000 What types of things does he find 221 00:14:19,000 --> 00:14:21,000 important to control and convey in a piece of music? 222 00:14:21,000 --> 00:14:25,000 So all the parameter fitting, and really the technology 223 00:14:25,000 --> 00:14:28,000 was stretched at that point to fit just Dan. 224 00:14:28,000 --> 00:14:34,000 And, you know, I think this is a perspective shift. It's not that our technologies -- 225 00:14:34,000 --> 00:14:38,000 they provide access, they allow us to create pieces of creative work. 226 00:14:38,000 --> 00:14:41,000 But what about expression? What about that moment when an artist delivers 227 00:14:41,000 --> 00:14:45,000 that piece of work? You know, do our technologies allow us to express? 228 00:14:45,000 --> 00:14:49,000 Do they provide structure for us to do that? And, you know, that's a personal relationship 229 00:14:49,000 --> 00:14:53,000 to expression that is lacking in the technological sphere. So, you know, 230 00:14:53,000 --> 00:14:56,000 with Dan, we needed a new design process, a new engineering process 231 00:14:56,000 --> 00:15:01,000 to sort of discover his movement and his path to expression that allow him to perform. 232 00:15:01,000 --> 00:15:03,000 And so that's what we'll do today. 233 00:15:03,000 --> 00:15:05,000 TM: So let's do it. So Dan do you want to tell everyone 234 00:15:05,000 --> 00:15:07,000 about what you're going to play now? 235 00:15:13,000 --> 00:15:15,000 DE: This is "My Eagle Song." 236 00:15:17,000 --> 00:15:20,000 TM: So Dan is going to play a piece of his, called "My Eagle Song". 237 00:15:20,000 --> 00:15:22,000 In fact, this is the score for Dan's piece, 238 00:15:22,000 --> 00:15:25,000 completely composed by Dan in Hyperscore. 239 00:15:25,000 --> 00:15:30,000 So he can use his infrared tracker to go directly into Hyperscore. 240 00:15:30,000 --> 00:15:33,000 He's incredibly fast at it, too, faster than I am, in fact. 241 00:15:33,000 --> 00:15:35,000 (Laughter) 242 00:15:37,000 --> 00:15:39,000 TM: He's really modest, too. 243 00:15:40,000 --> 00:15:46,000 So he can go in Hyperscore. You start out by making melodies and rhythms. 244 00:15:46,000 --> 00:15:48,000 He can place those exactly where he wants. 245 00:15:48,000 --> 00:15:51,000 Each one gets a color. He goes back into the composition window, 246 00:15:51,000 --> 00:15:56,000 draws the lines, places everything the way he wants to. Looking at the Hyperscore, 247 00:15:56,000 --> 00:15:59,000 you can see it also, you can see where the sections are, 248 00:15:59,000 --> 00:16:04,000 something might continue for a while, change, get really crazy and then end 249 00:16:04,000 --> 00:16:07,000 up with a big bang at the end. 250 00:16:07,000 --> 00:16:10,000 So that's the way he made his piece, and as Adam says, 251 00:16:10,000 --> 00:16:17,000 we then figured out the best way to have him perform his piece. 252 00:16:17,000 --> 00:16:20,000 It's going to be looked at by this camera, analyze his movements, 253 00:16:20,000 --> 00:16:24,000 it's going to let Dan bring out all the different aspects of his music that he wants to. 254 00:16:24,000 --> 00:16:27,000 And you're also going to notice a visual on the screen. 255 00:16:27,000 --> 00:16:33,000 We asked one of our students to look at what the camera is measuring. 256 00:16:33,000 --> 00:16:36,000 But instead of making it very literal, showing you exactly 257 00:16:36,000 --> 00:16:41,000 the camera tracing, we turned it into a graphic that shows you the basic 258 00:16:41,000 --> 00:16:45,000 movement, and shows the way it's being analyzed. 259 00:16:45,000 --> 00:16:49,000 I think it gives an understanding of how we're picking out movement from what 260 00:16:49,000 --> 00:16:53,000 Dan's doing, but I think it will also show you, if you look at that movement, 261 00:16:53,000 --> 00:17:00,000 that when Dan makes music, his motions are very purposeful, very precise, 262 00:17:00,000 --> 00:17:03,000 very disciplined and they're also very beautiful. 263 00:17:03,000 --> 00:17:08,000 So, in hearing this piece, as I mentioned before, the most important thing is 264 00:17:08,000 --> 00:17:11,000 the music's great, and it'll show you who Dan is. 265 00:17:11,000 --> 00:17:13,000 So, are we ready Adam? 266 00:17:13,000 --> 00:17:15,000 AB: Yeah. 267 00:17:15,000 --> 00:17:19,000 TM: OK, now Dan will play his piece "My Eagle Song" for you. 268 00:19:43,000 --> 00:20:07,000 (Applause) 269 00:20:07,000 --> 00:20:09,000 TM: Bravo. 270 00:20:09,000 --> 00:20:18,000 (Applause)