A Powerful New Neurotech Tool for Augmenting Your Mind | Conor Russomanno | TED

347,015 views

2023-06-29 ใƒป TED


New videos

A Powerful New Neurotech Tool for Augmenting Your Mind | Conor Russomanno | TED

347,015 views ใƒป 2023-06-29

TED


์•„๋ž˜ ์˜๋ฌธ์ž๋ง‰์„ ๋”๋ธ”ํด๋ฆญํ•˜์‹œ๋ฉด ์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค.

๋ฒˆ์—ญ: Heajung OH ๊ฒ€ํ† : ํ•œ๋‚˜ ์ตœ
00:04
I became obsessed with the relationship between the brain and the mind
0
4251
3753
์ €๋Š” ๋‡Œ์™€ ์ •์‹ ์˜ ๊ด€๊ณ„์— ์‚ฌ๋กœ์žกํžˆ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
00:08
after suffering a series of concussions
1
8004
2294
๋Œ€ํ•™์—์„œ ํ’‹๋ณผ๊ณผ ๋Ÿญ๋น„๋ฅผ ํ•˜๋ฉฐ
00:10
playing football and rugby in college.
2
10340
2377
์—ฌ๋Ÿฌ ๋ฒˆ์˜ ๋‡Œ์ง„ํƒ•์„ ๊ฒช์€ ์ดํ›„๋กœ์š”.
00:13
I felt my mind change for years after.
3
13468
2920
๊ทธ ํ›„ ๋ช‡ ๋…„ ๋™์•ˆ ์ œ ์ •์‹ ์ด ๋ณ€ํ•˜๋Š” ๊ฒƒ์„ ๋Š๊ผˆ์Šต๋‹ˆ๋‹ค.
00:17
I was studying computers at the time,
4
17597
2127
๊ทธ ๋‹น์‹œ ์ €๋Š” ์ปดํ“จํ„ฐ๋ฅผ ๊ณต๋ถ€ํ•˜๊ณ  ์žˆ์—ˆ๋Š”๋ฐ,
00:19
and it felt as though I had damaged my hardware
5
19766
2753
๋งˆ์น˜ ์ œ ํ•˜๋“œ์›จ์–ด๊ฐ€ ๊ณ ์žฅ๋‚˜๋‹ˆ
00:22
and that my software was running differently.
6
22561
2252
์†Œํ”„ํŠธ์›จ์–ด๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ์ž‘๋™ํ•˜๋Š” ๊ฒƒ์ฒ˜๋Ÿผ ๋Š๊ปด์กŒ์Šต๋‹ˆ๋‹ค.
00:25
Over the following years,
7
25355
2002
๊ทธ ํ›„ ๋ช‡ ๋…„๊ฐ„
00:27
a close friend suffered a serious neck injury
8
27357
2336
์ œ ์นœํ•œ ์นœ๊ตฌ๋Š” ๋ชฉ์— ์‹ฌํ•œ ๋ถ€์ƒ์„ ์ž…์—ˆ๊ณ 
00:29
and multiple friends and family members were struggling
9
29734
2586
์ฃผ๋ณ€์˜ ์—ฌ๋Ÿฌ ์นœ๊ตฌ๋“ค๊ณผ ๊ฐ€์กฑ๋“ค๋„
00:32
with crippling mental health issues.
10
32362
1793
์‹ฌ๊ฐํ•œ ์ •์‹  ๊ฑด๊ฐ• ๋ฌธ์ œ๋กœ ๊ณ ํ†ต ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค.
00:34
All around me, people that I loved dearly were being afflicted by ailments
11
34447
4046
์ œ๊ฐ€ ์ •๋ง ์‚ฌ๋ž‘ํ–ˆ๋˜ ์ œ ์ฃผ๋ณ€ ์‚ฌ๋žŒ๋“ค์€
์‹ ๊ฒฝ๊ณ„ ํ˜น์€ ์ •์‹ ์  ์งˆ๋ณ‘์œผ๋กœ ์ธํ•ด ๊ดด๋กœ์›Œํ–ˆ์Šต๋‹ˆ๋‹ค.
00:38
of the nervous system or the mind.
12
38535
2044
00:41
I was grappling with all of this
13
41246
1543
์ €๋Š” ํŒŒ์Šจ์Šค์—์„œ ๋””์ž์ธ&๊ธฐ์ˆ  ์ „๊ณต ๋Œ€ํ•™์›์—์„œ ๊ณต๋ถ€ํ•˜๋ฉฐ
00:42
while pursuing an MFA in Design and Technology at Parsons
14
42789
3545
์ด ๋ชจ๋“  ๊ฒƒ๋“ค๊ณผ ๋ถ„ํˆฌํ•˜๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
00:46
when a friend and fellow student showed me an open-source tutorial
15
46334
3629
๋™๋ฃŒ ํ•™์ƒ์ด๊ธฐ๋„ ํ•œ ์นœ๊ตฌ๊ฐ€ ์ œ๊ฒŒ ๋‡Œ ํ™œ๋™์„ ๊ฐ์ง€ํ•  ์ˆ˜ ์žˆ๋Š”
00:49
on how to build a low-cost single-channel EEG system
16
49963
3295
์ €๋น„์šฉ ๋‹จ์ผ ์ฑ„๋„ ๋‡Œ์ „๋„ ์‹œ์Šคํ…œ์„ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ
00:53
to detect brain activity.
17
53300
1710
์˜คํ”ˆ ์†Œ์Šค ํŠœํ† ๋ฆฌ์–ผ์„ ๋ณด์—ฌ์ฃผ์—ˆ์„ ๋•Œ ๋ง์ด์ฃ .
00:55
After a couple long nights of hacking and tinkering,
18
55594
3461
ํ•ดํ‚น๋„ ํ•˜๊ณ , ์–ด์„คํ”ˆ ์ˆ˜์ •๋„ ํ•˜๋ฉฐ ๋ฉฐ์น ์˜ ๊ธด ๋ฐค๋“ค์„ ๋ณด๋‚ธ ๋์—
00:59
I saw my brainwaves dancing across the screen for the very first time.
19
59097
4421
์ฒ˜์Œ์œผ๋กœ ํ™”๋ฉด์—์„œ ์ถค์ถ”๊ณ  ์žˆ๋Š” ์ œ ๋‡ŒํŒŒ๋ฅผ ๋ณด๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
01:03
And that moment changed my life.
20
63560
2335
๊ทธ ์ˆœ๊ฐ„์€ ์ œ ์ธ์ƒ์„ ๋ฐ”๊พธ์—ˆ์Šต๋‹ˆ๋‹ค.
01:06
In that moment,
21
66730
1126
๊ทธ ์ˆœ๊ฐ„, ์ œ ์ž์‹ ๊ณผ ์‚ฌ๋ž‘ํ•˜๋Š” ์ด๋“ค์„ ๋„์šธ ์ˆ˜ ์žˆ๊ฒ ๋‹ค๊ณ  ๋Š๊ผˆ์Šต๋‹ˆ๋‹ค.
01:07
I felt as though I had the possibility to help myself and the people I loved.
22
67897
4922
01:12
And I also realized that I couldn't do it alone.
23
72819
2544
๊ทธ๋ฆฌ๊ณ  ํ™€๋กœ ํ•  ์ˆ˜๋Š” ์—†๋‹ค๋Š” ๊ฒƒ๋„ ๊นจ๋‹ซ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
01:15
I needed help.
24
75405
1293
์ €๋Š” ๋„์›€์ด ํ•„์š”ํ–ˆ์Šต๋‹ˆ๋‹ค.
01:17
So in 2013, in Brooklyn, with some like-minded friends,
25
77115
3795
๊ทธ๋ž˜์„œ 2013๋…„ ๋ธŒ๋ฃจํด๋ฆฐ์—์„œ ์ €์™€ ๋œป์ด ๋งž๋Š” ๋ช‡ ๋ช…์˜ ์นœ๊ตฌ๋“ค๊ณผ ํ•จ๊ป˜
01:20
I started OpenBCI, an open-source neurotechnology company.
26
80952
3712
OpenBCI๋ผ๋Š” ์˜คํ”ˆ ์†Œ์Šค ์‹ ๊ฒฝ ๊ธฐ์ˆ  ํšŒ์‚ฌ๋ฅผ ์„ค๋ฆฝํ–ˆ์Šต๋‹ˆ๋‹ค.
01:24
In the beginning,
27
84956
1168
์ €ํฌ์˜ ์ดˆ๊ธฐ ๋ชฉํ‘œ๋Š” ์•ˆ์ชฝ์œผ๋กœ ํ–ฅํ•˜๋Š” ๋ง์›๊ฒฝ์„ ๋งŒ๋“ค์–ด
01:26
our goal was to build an inward-pointing telescope
28
86124
3170
01:29
and to share the blueprints with the world
29
89294
2377
์ปดํ“จํ„ฐ๋งŒ ์žˆ๋‹ค๋ฉด ๋ˆ„๊ตฌ๋“  ๋ณธ์ธ๋“ค์˜ ๋‡Œ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š”
01:31
so that anybody with a computer could begin peering into their own brain.
30
91671
3504
์„ค๊ณ„๋„๋ฉด์„ ์ „ ์„ธ๊ณ„์— ๊ณต์œ ํ•˜๋Š” ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค.
01:35
At first, we were an EEG-only company.
31
95508
3587
์ฒ˜์Œ์— ์ €ํฌ๋Š” ๋‡Œ์ „๋„๋งŒ ๋‹ค๋ฃจ๋Š” ํšŒ์‚ฌ์˜€์Šต๋‹ˆ๋‹ค.
01:39
We sold brain sensors to measure brain activity.
32
99137
2461
์ €ํฌ๋Š” ๋‡Œ ํ™œ์„ฑ๋„๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ๋‡Œ ์„ผ์„œ๋ฅผ ํŒ๋งคํ–ˆ๋Š”๋ฐ์š”.
01:41
I thought that's what people wanted.
33
101640
1918
๊ทธ๊ฒƒ์ด ์‚ฌ๋žŒ๋“ค์ด ์›ํ•˜๋Š” ๊ฒƒ์ด๋ผ ์ƒ๊ฐํ–ˆ์Šต๋‹ˆ๋‹ค.
01:43
But over time, we discovered people doing very strange things with our technology.
34
103600
5005
ํ•˜์ง€๋งŒ ์‹œ๊ฐ„์ด ์ง€๋‚ ์ˆ˜๋ก, ์‚ฌ๋žŒ๋“ค์ด ์šฐ๋ฆฌ์˜ ๊ธฐ์ˆ ๋กœ
๋งค์šฐ ์ด์ƒํ•œ ๊ฒƒ๋“ค์„ ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฑธ ์•Œ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
01:49
Some people were connecting the equipment to the stomach
35
109105
2670
์ผ๋ถ€ ์‚ฌ๋žŒ๋“ค์€ ์žฅ๋น„๋ฅผ ๋ณต๋ถ€์— ์—ฐ๊ฒฐํ•ด์„œ
01:51
to measure the neurons in the gut
36
111775
1710
์žฅ์— ์กด์žฌํ•˜๋Š” ๋‰ด๋Ÿฐ๋“ค์„ ์ธก์ •ํ•ด
01:53
and study gut-brain connection and the microbiome.
37
113526
2795
์žฅ-๋‡Œ ์—ฐ๊ฒฐ ๋ฐ ๋ฏธ์ƒ๋ฌผ๊ตฐ์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•˜๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
01:56
Others were using the tools to build new muscle sensors and controllers
38
116363
3962
๋‹ค๋ฅธ ์‚ฌ๋žŒ๋“ค์€ ์ €ํฌ์˜ ์žฅ๋น„๋ฅผ ์ด์šฉํ•ด ์ธ๊ณต์‚ฝ์ž…์ˆ  ๋ฐ ๋กœ๋ด‡ ๊ณตํ•™์„ ์œ„ํ•œ
๊ทผ์œก ์„ผ์„œ์™€ ์ปจํŠธ๋กค๋Ÿฌ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
02:00
for prosthetics and robotics.
39
120367
1626
02:02
And some were designing new devices
40
122827
2503
๋˜ ๋‹ค๋ฅธ ์‚ฌ๋žŒ๋“ค์€ ์ œ๊ฐ€ ํ•œ ๋ฒˆ๋„ ๋“ค์–ด๋ณด์ง€ ๋ชปํ•œ
02:05
and peripheral add-ons that could be connected to the platform
41
125372
2919
์ƒˆ๋กœ์šด ์œ ํ˜•์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ธก์ •ํ•ด์ฃผ๋Š” ํ”Œ๋žซํผ์— ์—ฐ๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š”
02:08
to measure new types of data that I had never heard of before.
42
128291
2920
์ƒˆ๋กœ์šด ์žฅ์น˜์™€ ์ฃผ๋ณ€ ๋ณด์กฐ๊ธฐ๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜๊ธฐ๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
02:11
What we learned from all of this
43
131252
1752
์ €ํฌ๊ฐ€ ์ด ๋ชจ๋“  ๊ฒƒ๋“ค๋กœ๋ถ€ํ„ฐ ๋ฐฐ์šด ๊ฒƒ์€
02:13
is that the brain by itself is actually quite boring.
44
133004
4296
๋‡Œ ์ž์ฒด๋Š” ์‚ฌ์‹ค ๊ฝค ์ง€๋ฃจํ•˜๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค.
02:19
Turns out brain data alone lacks context.
45
139260
3003
๋‡Œ ๋ฐ์ดํ„ฐ ์ž์ฒด๋กœ๋Š” ๋งฅ๋ฝ์ด ๋ถ€์กฑํ•ฉ๋‹ˆ๋‹ค.
02:22
And what we ultimately care about is not the brain,
46
142806
3003
์šฐ๋ฆฌ๊ฐ€ ๊ถ๊ทน์ ์œผ๋กœ ์•Œ๊ณ  ์‹ถ์€ ๊ฒƒ์€ ๋‡Œ๊ฐ€ ์•„๋‹Œ
02:25
but the mind, consciousness, human cognition.
47
145809
3295
์ •์‹ , ์˜์‹, ์‚ฌ๋žŒ์˜ ์ธ์ง€๋ ฅ์ž…๋‹ˆ๋‹ค.
02:29
When we have things like EMG sensors to measure muscle activity
48
149104
3336
๊ทผ ํ™œ์„ฑ๋„๋ฅผ ์ธก์ •ํ•˜๋Š” EMG ์„ผ์„œ๋‚˜ ์‹ฌ์žฅ์˜ ํ™œ์„ฑ๋„๋ฅผ ์ธก์ •ํ•˜๋Š” ECG ์„ผ์„œ,
02:32
or ECG sensors to measure heart activity,
49
152440
2419
02:34
eye trackers
50
154901
1168
์‹œ์„  ์ถ”์ ๊ธฐ, ์‹ฌ์ง€์–ด ์šฐ๋ฆฌ ์ฃผ๋ณ€ ์„ธ์ƒ์„ ์ธก์ •ํ•˜๋Š” ํ™˜๊ฒฝ ์„ผ์„œ ๋“ฑ์€
02:36
and even environmental sensors to measure the world around us,
51
156111
2919
02:39
all of this makes the brain data much more useful.
52
159030
3212
๋‡Œ ๋ฐ์ดํ„ฐ๋ฅผ ํ›จ์”ฌ ๋” ์œ ์šฉํ•˜๊ฒŒ ๋งŒ๋“ญ๋‹ˆ๋‹ค.
02:42
But the organs around our body, our sensory receptors,
53
162242
3044
ํ•˜์ง€๋งŒ ์šฐ๋ฆฌ ๋ชธ์˜ ์žฅ๊ธฐ ๋ฐ ๊ฐ๊ฐ ์ˆ˜์šฉ์ฒด์—์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์–ป๋Š” ๊ฒƒ์€
02:45
are actually much easier to collect data from than the brain,
54
165286
3754
๋‡Œ์—์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์–ป๋Š” ๊ฒƒ๋ณด๋‹ค ํ›จ์”ฌ ์ˆ˜์›”ํ•ฉ๋‹ˆ๋‹ค.
02:49
and also arguably much more important for determining the things
55
169082
3045
๋˜ํ•œ ์šฐ๋ฆฌ๊ฐ€ ์‹ค์ œ๋กœ ์•Œ๊ณ  ์‹ถ์–ด ํ•˜๋Š” ๊ฐ์ •๊ณผ ์˜๋„, ๊ทธ๋ฆฌ๊ณ  ์ •์‹  ์ „๋ฐ˜์„
02:52
that we actually care about: emotions, intentions and the mind overall.
56
172127
4254
์•Œ์•„๊ฐ€๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ‹€๋ฆผ์—†์ด ํ›จ์”ฌ ๋” ์ค‘์š”ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
02:56
Additionally,
57
176715
1167
๊ฒŒ๋‹ค๊ฐ€ ์ €ํฌ๋Š” ์‚ฌ๋žŒ๋“ค์ด ๋‡Œ์™€ ๋ชธ์œผ๋กœ๋ถ€ํ„ฐ ํŒ๋…ํ•˜๋Š” ๊ฒƒ์—๋งŒ
02:57
we realized that people weren't just interested
58
177924
2920
03:00
in reading from the brain and the body.
59
180844
1918
๊ด€์‹ฌ์ด ์žˆ๋Š” ๊ฒƒ์ด ์•„๋‹˜์„ ๊นจ๋‹ฌ์•˜์Šต๋‹ˆ๋‹ค.
03:02
They were also interested in modulating the mind
60
182762
2670
๋น›, ์†Œ๋ฆฌ, ์ด‰๊ฐ, ์ „๊ธฐ์™€ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ๊ฐ๊ฐ ์ž๊ทน์„ ํ†ตํ•ด
03:05
through various types of sensory stimulation.
61
185432
2836
์ •์‹ ์„ ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์—๋„ ๊ด€์‹ฌ์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
03:08
Things like light, sound,
62
188268
2169
03:10
haptics and electricity.
63
190478
1961
03:12
It's one thing to record the mind,
64
192772
2336
์ •์‹ ์„ ๊ธฐ๋กํ•˜๋Š” ๊ฒƒ์ด ํ•œ ๊ฐ€์ง€ ์ผ์ด๊ณ ,
03:15
it's another to modulate it.
65
195150
1918
์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์ด ๋˜ ํ•œ ๊ฐ€์ง€ ์ผ์ž…๋‹ˆ๋‹ค.
03:17
The idea of a combined system
66
197402
1877
๋‡Œ ํ˜น์€ ์‹ ์ฒด๋กœ๋ถ€ํ„ฐ
03:19
that can both read from and write to the brain or body
67
199279
3628
์ฝ๊ฑฐ๋‚˜ ์“ฐ๋Š” ๊ฒƒ์„ ๋‘˜ ๋‹ค ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒฐํ•ฉ ์‹œ์Šคํ…œ์— ๊ด€ํ•œ ์•„์ด๋””์–ด๋Š”
03:22
is referred to as a closed-loop system or bidirectional human interface.
68
202949
3921
ํ์‡„ ๋ฃจํ”„ ์‹œ์Šคํ…œ ํ˜น์€ ์–‘๋ฐฉํ–ฅ ์ธ๊ฐ„ ์ธํ„ฐํŽ˜์ด์Šค๋ผ ๋ถˆ๋ฆฝ๋‹ˆ๋‹ค.
03:27
This concept is truly profound,
69
207245
2753
์ด ๊ฐœ๋…์€ ์ •๋ง ์‹ฌ์˜คํ•˜๊ณ ,
03:29
and it will define the next major revolution in computing technology.
70
209998
4087
์ปดํ“จํŒ… ๊ธฐ์ˆ ์— ์žˆ์–ด ์ฐจ์„ธ๋Œ€ ์ฃผ์š” ํ˜๋ช…์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:34
When you have products that not just are designed for the average user
71
214919
4922
๋‹จ์ˆœํžˆ ์ผ๋ฐ˜ ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•ด์„œ๊ฐ€ ์•„๋‹Œ
03:39
but are designed to actually adapt to their user,
72
219883
3003
๊ฐœ๊ฐœ์ธ์—๊ฒŒ ๋งž์ถฐ์ง€๋„๋ก ์„ค๊ณ„๋œ ์ œํ’ˆ์ด ์žˆ๋‹ค๋ฉด,
03:42
that's something truly special.
73
222886
1793
๊ทธ๊ฒƒ์ด ์ •๋ง ํŠน๋ณ„ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:44
When we know what the data of an emotion or a feeling looks like
74
224721
3128
๊ฐ์ •์ด๋‚˜ ๋Š๋‚Œ๊ณผ ๊ด€๋ จ๋œ ๋ฐ์ดํ„ฐ๊ฐ€ ์–ด๋–ค ๋ชจ์Šต์ผ์ง€ ์•Œ๊ฒŒ ๋œ๋‹ค๋ฉด,
03:47
and we know how to make that data go up or down,
75
227891
2586
๊ทธ ๋ฐ์ดํ„ฐ๋“ค์„ ์–ด๋–ป๊ฒŒ ์•„๋ž˜ ์œ„๋กœ ์ด๋™์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š”์ง€๋„ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:50
then using AI,
76
230477
1376
๊ทธ ๋‹ค์Œ, ์ธ๊ณต์ง€๋Šฅ์„ ์‚ฌ์šฉํ•˜์—ฌ
03:51
we can build constructive or destructive interference patterns
77
231895
3545
์ด๋Ÿฌํ•œ ๊ฐ์ •์ด๋‚˜ ๋Š๋‚Œ๋“ค์„ ์ฆํญ์‹œํ‚ค๊ฑฐ๋‚˜ ์–ต์ œํ•˜๊ธฐ ์œ„ํ•œ
03:55
to either amplify or suppress those emotions or feelings.
78
235440
3670
๋ณด๊ฐ• ๊ฐ„์„ญ ํ˜น์€ ์ƒ์‡„ ๊ฐ„์„ญ ํŒจํ„ด์„ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:59
In the very near future,
79
239402
1168
์•„์ฃผ ๊ฐ€๊นŒ์šด ๋ฏธ๋ž˜์—,
04:00
we will have computers that we are resonantly
80
240612
3003
์šฐ๋ฆฌ์™€ ๊ณต๋ช…ํ•˜๋ฉฐ ๋ฌด์˜์‹์ ์œผ๋กœ ์—ฐ๊ฒฐ๋œ ์ปดํ“จํ„ฐ๋ฅผ ๊ฐ–๊ฒŒ ๋  ๊ฒƒ์ด๋ฉฐ,
04:03
and subconsciously connected to,
81
243656
2336
04:06
enabling empathetic computing for the very first time.
82
246034
2794
์ด๋Š” ๊ณต๊ฐํ˜• ์ปดํ“จํŒ…์„ ์ฒ˜์Œ์œผ๋กœ ๊ฐ€๋Šฅ์ผ€ ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
04:09
In 2018,
83
249996
1710
2018๋…„,
04:11
we put these learnings to work
84
251748
1460
์ €ํฌ๋Š” ๋ฐฐ์šด ๊ฒƒ๋“ค์„ ์‹คํ–‰์— ์˜ฎ๊ฒจ
04:13
and began development of a new tool for cognitive exploration.
85
253208
3420
์ธ์ง€์  ํƒ๊ตฌ๋ฅผ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋„๊ตฌ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค.
04:16
Named after my friend Gael, who passed from ALS in 2016,
86
256961
4129
2016๋…„ ๋ฃจ๊ฒŒ๋ฆญ ๋ณ‘์œผ๋กœ ์ธํ•ด ํ•˜๋Š˜๋กœ ๋– ๋‚œ ์ œ ์นœ๊ตฌ โ€œ๊ฒŒ์ผโ€œ์˜ ์ด๋ฆ„์„ ๋”ฐ์„œ
04:21
we call it Galea.
87
261132
1460
์ด ๋„๊ตฌ๋ฅผ โ€œ๊ฐˆ๋ ˆ์•„โ€œ๋ผ๊ณ  ๋ถ€๋ฆ…๋‹ˆ๋‹ค.
04:22
Itโ€™s a multimodal bio-sensing headset,
88
262592
2294
์ด๋Š” ๋‹ค์ค‘ ๋ชจ๋“œ ์ƒ์ฒด ๊ฐ์ง€ ํ—ค๋“œ์…‹์œผ๋กœ,
04:24
and it is absolutely packed with sensors.
89
264928
3378
์„ผ์„œ๋“ค๋กœ ์™„์ „ํžˆ ๊ฐ€๋“ ์ฐจ ์žˆ์Šต๋‹ˆ๋‹ค.
04:28
It can measure the userโ€™s heart, skin, muscles, eyes and brain,
90
268348
6047
์ด ๋„๊ตฌ๋Š” ์‚ฌ์šฉ์ž์˜ ์‹ฌ์žฅ, ํ”ผ๋ถ€, ๊ทผ์œก, ๋ˆˆ, ๋‡Œ๋ฅผ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ
04:34
and it combines that capability with head-mounted displays
91
274437
2878
์ด ๋Šฅ๋ ฅ์„ ๋จธ๋ฆฌ ๋ถ€๋ถ„ ํƒ‘์žฌํ˜• ๋””์Šคํ”Œ๋ ˆ์ด์™€ ๊ฒฐํ•ฉํ•˜๊ฑฐ๋‚˜
04:37
or augmented and virtual reality headsets.
92
277357
2294
์ฆ๊ฐ• ํ˜„์‹ค ํ—ค๋“œ์…‹ ๋ฐ ๊ฐ€์ƒ ํ˜„์‹ค ํ—ค๋“œ์…‹๊ณผ ๊ฒฐํ•ฉ์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.
04:40
Additionally, we're exploring the integration
93
280235
2127
๋˜ํ•œ ์ €ํฌ๋Š” ์ „๊ธฐ๋ฅผ ์ด์šฉํ•ด
04:42
of non-invasive electrical neural stimulation as a feature.
94
282362
2836
๋น„์นจ์Šต์ ์œผ๋กœ ์‹ ๊ฒฝ์„ ์ž๊ทนํ•˜๋Š” ๊ธฐ๋Šฅ์„ ํ†ตํ•ฉํ•˜๊ธฐ ์œ„ํ•ด ์—ฐ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
04:45
The Galea software suite
95
285740
1919
๊ฐˆ๋ ˆ์•„ ์†Œํ”„ํŠธ์›จ์–ด ์ œํ’ˆ๊ตฐ์€
04:47
can turn the raw sensor data into meaningful metrics.
96
287659
3128
๋ฏธ๊ฐ€๊ณต ์„ผ์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์œ ์˜๋ฏธํ•œ ์ง€ํ‘œ๋กœ ๋งŒ๋“ค์–ด ์ค๋‹ˆ๋‹ค.
04:51
With some of the sensors,
97
291204
1209
์ผ๋ถ€ ์„ผ์„œ๋กœ
04:52
we're able to provide new forms of real-time interactivity and control.
98
292413
3921
์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ์‹ค์‹œ๊ฐ„ ์ƒํ˜ธ์ž‘์šฉ ๋ฐ ์ œ์–ด ๋ฐฉ์‹์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
04:56
And with all of the sensors,
99
296334
1460
๋˜ํ•œ ๋ชจ๋“  ์„ผ์„œ๋“ค๋กœ๋Š”
04:57
we're able to make quantifiable inferences about high-level states of mind,
100
297836
4087
์ŠคํŠธ๋ ˆ์Šค, ํ”ผ๋กœ, ์ธ์ง€ ๋ถ€ํ•˜, ์ง‘์ค‘๊ณผ ๊ฐ™์€
05:01
things like stress, fatigue, cognitive workload and focus.
101
301965
3962
๋†’์€ ์—๋„ˆ์ง€์˜ ์ •์‹  ์ƒํƒœ๋ฅผ ์œ„ํ•œ ์ •๋Ÿ‰ ๊ฐ€๋Šฅํ•œ ๊ฐ„์„ญ์„ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
05:06
In 2019,
102
306386
1668
2019๋…„์—
05:08
a legendary neurohacker by the name of Christian Bayerlein
103
308096
3044
ํฌ๋ฆฌ์Šค์ฐฌ ๋ฐ”์ด์—˜๋ผ์ธ์ด๋ผ๋Š” ์ด๋ฆ„์˜ ์ „์„ค์ ์ธ ์‹ ๊ฒฝ ํ•ด์ปค๊ฐ€
05:11
reached out to me.
104
311140
1627
์ €์—๊ฒŒ ์—ฐ๋ฝํ•ด ์™”์Šต๋‹ˆ๋‹ค.
05:12
He was actually one of our very first Kickstarter backers
105
312809
2711
๊ทธ๋Š” ์‚ฌ์‹ค ์ €ํฌ๊ฐ€ ์‹œ์ž‘ํ–ˆ๋˜
05:15
when we got started, early on.
106
315520
1460
์ดˆ๊ธฐ ํฌ๋ผ์šฐ๋“œ ํŽ€๋”ฉ์˜ ์ตœ์ดˆ ํ›„์›์ž ์ค‘ ํ•œ ๋ช…์ด์—ˆ๋Š”๋ฐ
05:17
Christian was a very smart, intelligent, happy-go-lucky
107
317021
3170
ํฌ๋ฆฌ์Šค์ฐฌ์€ ์ •๋ง ๋˜‘๋˜‘ํ•˜๊ณ , ์ง€์ ์ด๊ณ , ํƒœํ‰์Šค๋Ÿฝ๊ณ ,
05:20
and easygoing guy.
108
320233
1543
๋Š๊ธ‹ํ•œ ์‚ฌ๋žŒ์ด์—ˆ์Šต๋‹ˆ๋‹ค.
05:21
And so I worked up the courage to ask him, "Hey, Christian,
109
321818
2794
์ €๋Š” ์šฉ๊ธฐ๋ฅผ ๋‚ด์–ด โ€œ์ €, ํฌ๋ฆฌ์Šค์ฐฌ,
05:24
can we connect you to our sensors?"
110
324612
1877
๋‹น์‹ ์„ ์ €ํฌ ์„ผ์„œ์™€ ์—ฐ๊ฒฐ ์‹œ์ผœ๋ด๋„ ๋ ๊นŒ์š”?โ€œ๋ผ๊ณ  ๋ฌผ์—ˆ์Šต๋‹ˆ๋‹ค.
05:27
At which point he said,
111
327115
2002
๊ทธ๋Ÿฌ์ž ๊ทธ๋Š” ์ด๋ ‡๊ฒŒ ๋Œ€๋‹ตํ–ˆ์Šต๋‹ˆ๋‹ค.
05:29
"I thought you would never ask."
112
329158
1585
โ€œ๋‹น์‹ ์ด ์ ˆ๋Œ€ ๋ฌผ์–ด๋ณด์ง€ ์•Š์„ ์ค„ ์•Œ์•˜์–ด์š”โ€
05:30
(Laughter)
113
330785
1126
(์›ƒ์Œ)
05:31
So after 20 minutes,
114
331911
1377
20๋ถ„ ํ›„,
05:33
we had him rigged up to a bunch of electrodes,
115
333288
3086
๊ทธ์—๊ฒŒ ๋‹ค์ˆ˜์˜ ์ „๊ทน๋“ค์„ ๋ถ€์ฐฉํ•˜๊ณ 
05:36
and we provided him with four new inputs to a computer.
116
336416
3753
์ปดํ“จํ„ฐ๋กœ ์ „์†ก๋˜๋Š” ๋„ค ๊ฐœ์˜ ์ƒˆ๋กœ์šด ์กฐ์ž‘ ์žฅ์น˜๋ฅผ ์ œ๊ณตํ–ˆ์Šต๋‹ˆ๋‹ค.
05:40
Little digital buttons, that he could control voluntarily.
117
340211
3253
์ž‘์€ ๋””์ง€ํ„ธ ๋ฒ„ํŠผ์ด์—ˆ๋Š”๋ฐ, ๊ทธ๊ฐ€ ์ž๋ฐœ์ ์œผ๋กœ ์ œ์–ดํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
05:43
This essentially doubled his number of inputs to a computer.
118
343882
3628
์ด๋Š” ์ปดํ“จํ„ฐ๋กœ ์ „์†ก๋˜๋Š” ๋ฐ์ดํ„ฐ์˜ ์ˆ˜๋ฅผ ๋‘ ๋ฐฐ๋กœ ์ฆ๊ฐ€์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.
05:47
Years later, after many setbacks due to COVID,
119
347552
3170
๋ช‡ ๋…„์ด ์ง€๋‚˜๊ณ , ์ฝ”๋กœ๋‚˜๋กœ ์ธํ•œ ๋งŽ์€ ์ขŒ์ ˆ์„ ๊ฒช๊ณ  ๋‚˜์„œ
05:50
we flew to Germany to work with Christian in person
120
350722
3170
์ €ํฌ๋Š” ํฌ๋ฆฌ์Šค์ฐฌ๊ณผ ์ง์ ‘ ์ผํ•˜๊ธฐ ์œ„ํ•ด ๋…์ผ๋กœ ๋‚ ์•„๊ฐ”์Šต๋‹ˆ๋‹ค.
05:53
to implement the first prototype
121
353933
1543
์ €ํฌ๊ฐ€ ์˜ค๋Š˜ ์—ฌ๊ธฐ์—์„œ ์‹œ์—ฐํ•˜๋ ค ํ•˜๋Š” ์ฒซ ๋ฒˆ์งธ ์‹œ์ œํ’ˆ์„ ๊ตฌํ˜„ํ•ด ๋ณด๊ธฐ ์œ„ํ•ด์„œ์š”.
05:55
of what we're going to be demoing here today.
122
355476
2128
05:57
Christian then spent months training with that prototype
123
357645
2628
ํฌ๋ฆฌ์Šค์ฐฌ์€ ๊ทธ ์‹œ์ œํ’ˆ์œผ๋กœ ํ›ˆ๋ จํ•˜๊ณ ,
06:00
and sending his data across the Atlantic to us in Brooklyn from Germany
124
360315
3587
๋…์ผ์—์„œ ๋Œ€์„œ์–‘์„ ๊ฑด๋„ˆ ์ €ํฌ๊ฐ€ ์žˆ๋Š” ๋ธŒ๋ฃจํด๋ฆฐ๊นŒ์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ์ „์†กํ•˜๊ณ ,
06:03
and flying a virtual drone in our offices.
125
363902
3169
์ €ํฌ ์‚ฌ๋ฌด์‹ค์— ์žˆ๋Š” ๊ฐ€์ƒ ๋“œ๋ก ์„ ๋‚ ๋ฆฌ๋Š”๋ฐ๊นŒ์ง€ ๋ช‡ ๋‹ฌ์„ ์ผ์Šต๋‹ˆ๋‹ค.
06:07
The first thing that we did was scour Christian's body
126
367113
3504
์ฒ˜์Œ ์ €ํฌ๊ฐ€ ํ•œ ์ผ์€ ์ž”์กด ์šด๋™ ๊ธฐ๋Šฅ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด
06:10
for residual motor function.
127
370617
1501
ํฌ๋ฆฌ์Šค์ฐฌ์˜ ๋ชธ์„ ์ƒ…์ƒ…์ด ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค.
06:12
We then connected electrodes to the four muscles
128
372702
3128
๊ทธ ํ›„ ์ €ํฌ๋Š” ํฌ๋ฆฌ์Šค์ฐฌ์ด ๊ฐ€์žฅ ์ž๋ฐœ์ ์œผ๋กœ ํ†ต์ œ ํ•˜๊ณ  ์žˆ๋Š”
06:15
that he had the most voluntary control over,
129
375872
2085
4๊ฐœ์˜ ๊ทผ์œก์— ์ „๊ทน์„ ์—ฐ๊ฒฐํ–ˆ๊ณ 
06:17
and then we turned those muscles into digital buttons.
130
377957
2920
์ด ๊ทผ์œก๋“ค์„ ๋””์ง€ํ„ธ ๋ฒ„ํŠผ์œผ๋กœ ๋ณ€ํ™”์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.
06:21
We then applied some smart filtering and signal processing
131
381210
2920
์ €ํฌ๋Š” ๊ทธ ํ›„ ์Šค๋งˆํŠธ ํ•„ํ„ฐ๋ง ๋ฐ ์‹ ํ˜ธ ๊ฐ€๊ณต์„ ์ ์šฉํ•ด
06:24
to adapt those buttons into something more like a slider
132
384130
2669
์ด ๋ฒ„ํŠผ๋“ค์„ ์ข€ ๋” ์Šฌ๋ผ์ด๋”๋‚˜ ๋””์ง€ํ„ธ ๊ฐ€๋ณ€์ €ํ•ญ๊ธฐ์™€ ๋น„์Šทํ•˜๊ฒŒ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค.
06:26
or a digital potentiometer.
133
386799
1836
06:29
After that,
134
389135
1210
๊ทธ ํ›„,
06:30
we turned those four sliders
135
390345
1376
์ €ํฌ๋Š” ์ด 4๊ฐœ์˜ ์Šฌ๋ผ์ด๋”๋ฅผ ์กฐ์ž‘ํ•ด์„œ
06:31
and mapped them to a new virtual joystick.
136
391721
2461
์ƒˆ๋กœ์šด ๊ฐ€์ƒ ์กฐ์ด์Šคํ‹ฑ๊ณผ ๋Œ€์‘์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.
06:34
Christian then combined that new joystick
137
394641
1960
ํฌ๋ฆฌ์Šค์ฐฌ์€ ๊ทธ ํ›„ ์ € ์ƒˆ๋กœ์šด ์กฐ์ด์Šคํ‹ฑ์„
06:36
with the joystick that he uses with his lip to control his wheelchair,
138
396643
3295
ํœ ์ฒด์–ด๋ฅผ ์กฐ์ข…ํ•˜๊ธฐ ์œ„ํ•ด ์ž…์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ์กฐ์ด์Šคํ‹ฑ๊ณผ ๊ฒฐํ•ฉ์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.
06:39
and with the two joysticks combined,
139
399979
2086
๊ฒฐํ•ฉ๋œ ๋‘ ์กฐ์ด์Šคํ‹ฑ์„ ๊ฐ€์ง€๊ณ 
06:42
Christian finally had control over all the manual controls of a drone.
140
402106
3921
ํฌ๋ฆฌ์Šค์ฐฌ์€ ๋งˆ์นจ๋‚ด ๋“œ๋ก ์˜ ๋ชจ๋“  ์ˆ˜๋™ ์กฐ์ข…์„ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
06:46
Iโ€™m going to stop talking about it, and weโ€™re going to show you.
141
406653
3086
์ด ์ด์•ผ๊ธฐ๋Š” ๊ทธ๋งŒํ•˜๊ณ , ์—ฌ๋Ÿฌ๋ถ„๊ป˜ ๋ณด์—ฌ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.
06:50
Christian,
142
410365
1543
ํฌ๋ฆฌ์Šค์ฐฌ,
06:51
welcome.
143
411908
1418
ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค.
06:53
(Applause)
144
413326
5756
(๋ฐ•์ˆ˜)
06:59
At this point,
145
419082
1167
์ง€๊ธˆ
07:00
I'm going to ask everybody to turn off your Bluetooth
146
420291
3253
๋ชจ๋‘ ๋ธ”๋ฃจํˆฌ์Šค๋ฅผ ๋„๊ณ 
07:03
and put your phones in airplane mode
147
423544
2461
ํ•ธ๋“œํฐ์„ ๋น„ํ–‰๊ธฐ ๋ชจ๋“œ๋กœ ์ „ํ™˜ํ•ด์ฃผ์„ธ์š”.
07:06
so that you don't get hit in the face with a drone.
148
426047
2419
๋“œ๋ก ์— ์–ผ๊ตด์„ ๋งž๊ณ  ์‹ถ์ง€ ์•Š์œผ์‹œ๋‹ค๋ฉด์š”.
07:08
(Laughter)
149
428466
2044
(์›ƒ์Œ)
07:10
How are you feeling, Christian?
150
430510
1501
๊ธฐ๋ถ„์ด ์–ด๋•Œ์š”, ํฌ๋ฆฌ์Šค์ฐฌ?
07:12
Christian Bayerlein: Yeah, let's do it.
151
432053
1877
ํฌ๋ฆฌ์Šค์ฐฌ ๋ฐ”์ด์—˜๋ผ์ธ: ์˜ˆ, ํ•œ ๋ฒˆ ๊ฐ€๋ด…์‹œ๋‹ค.
07:13
Conor Russomanno: Awesome.
152
433930
1251
์ฝ”๋„ˆ ๋ฃจ์†Œ๋งŒ๋…ธ: ์ข‹์Šต๋‹ˆ๋‹ค.
07:15
This is a heads-up display that's showing all of Christian's biometric data,
153
435181
4254
์ด๊ฑด ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด๋กœ ํฌ๋ฆฌ์Šค์ฐฌ์˜ ๋ชจ๋“  ์ƒ์ฒด ์ธ์‹ ๋ฐ์ดํ„ฐ์™€
07:19
as well as some information about the drone.
154
439477
2377
๋“œ๋ก ์— ๋Œ€ํ•œ ์ผ๋ถ€ ์ •๋ณด๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
07:21
On the left here, we can see Christian's muscle data.
155
441854
3462
์—ฌ๊ธฐ ์™ผ์ชฝ์—, ์ €ํฌ๋Š” ํฌ๋ฆฌ์Šค์ฐฌ์˜ ๊ทผ์œก ๋ฐ์ดํ„ฐ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
07:26
Christian is now going to attempt to fly the drone.
156
446150
2962
์ด์ œ ํฌ๋ฆฌ์Šค์ฐฌ์ด ๋“œ๋ก ์„ ๋‚ ๋ ค ๋ณผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
07:29
How are you feeling, Christian, feeling good?
157
449737
2127
๊ธฐ๋ถ„์ด ์–ด๋•Œ์š”, ํฌ๋ฆฌ์Šค์ฐฌ? ๊ธฐ๋ถ„ ์ข‹์€๊ฐ€์š”?
07:31
CB: Yes.
158
451864
1168
ํฌ๋ฆฌ์Šค์ฐฌ: ๋„ค.
07:33
CR: All right. Rock and roll.
159
453032
1418
์ฝ”๋„ˆ: ๋„ค, ์‹œ์ž‘ํ•ด๋ณด์ฃ .
07:34
Let's take this up for a joyride.
160
454450
1627
์‹ ๋‚˜๋Š” ์‹œ๊ฐ„์„ ๋ณด๋‚ด๋ด…์‹œ๋‹ค.
07:36
Whenever you're ready.
161
456119
1167
์ค€๋น„๊ฐ€ ๋˜๋ฉด ์‹œ์ž‘ํ•ด์ฃผ์„ธ์š”.
07:37
CB: I'm ready.
162
457286
1335
ํฌ๋ฆฌ์Šค์ฐฌ: ์ค€๋น„๋์–ด์š”.
07:43
(Applause and cheers)
163
463626
5547
(๋ฐ•์ˆ˜์™€ ์‘์›)
07:49
CR: All right, take her up.
164
469215
1877
์ฝ”๋„ˆ: ์ข‹์•„์š”, ์œ„๋กœ ๋ณด๋‚ด๋ณด์„ธ์š”.
07:54
And now let's do something we probably shouldn't do
165
474012
2836
์ด์ œ ์šฐ๋ฆฌ๊ฐ€ ํ•˜์ง€ ๋ง์•„์•ผ ํ•  ๋ฌด์–ธ๊ฐ€๋ฅผ ํ•ด๋ณด์ฃ .
07:56
and fly it over the audience.
166
476848
1418
๊ด€๊ฐ๋“ค ์œ„๋กœ ์ด๊ฑธ ๋‚ ๋ ค๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.
07:58
(Laughter)
167
478266
1543
(์›ƒ์Œ)
08:12
(Cheers and applause)
168
492613
6966
(๋ฐ•์ˆ˜์™€ ์‘์›)
08:22
Alright, actually, letโ€™s do this.
169
502999
1710
์ข‹์•„์š”, ์ด์ œ ํ•ด๋ด…์‹œ๋‹ค.
08:24
I'm going to ask for people to call out some commands in the audience.
170
504709
3295
๊ด€๊ฐ๋ถ„์—๊ฒŒ ๋ช‡ ๊ฐ€์ง€ ๋ช…๋ น์„ ์™ธ์ณ๋‹ฌ๋ผ๊ณ  ๋ถ€ํƒ์„ ํ•ด ๋ณผ ๊ฑด๋ฐ์š”.
08:28
So how about you?
171
508046
1459
์–ด๋–ค ๊ฑธ ํ•˜๊ณ  ์‹ถ์œผ์„ธ์š”?
08:30
Straight forward.
172
510048
1376
์ญ‰ ์•ž์œผ๋กœ.
08:32
Straight forward.
173
512133
1376
์ญ‰ ์•ž์œผ๋กœ.
08:34
(Laughter)
174
514093
3128
(์›ƒ์Œ)
08:37
Alright. How about you?
175
517221
1168
๋„ค, ์–ด๋–ค ๊ฑธ ํ•ด๋ณผ๊นŒ์š”?
08:38
Man: Up!
176
518431
1126
๋‚จ์„ฑ ๊ด€๊ฐ: ์œ„๋กœ!
08:39
(Laughter)
177
519599
1877
(์›ƒ์Œ)
08:41
CR: Not down.
178
521517
1168
์ฝ”๋„ˆ: ๋ฐ‘์— ๋ง๊ณ ์š”.
08:43
Oh, he's doing what he wants right now.
179
523853
1877
์˜ค, ์ง€๊ธˆ ๊ทธ๊ฐ€ ์›ํ•˜๋Š” ๊ฑธ ํ•˜๊ณ  ์žˆ์–ด์š”.
08:47
Amazing.
180
527774
1167
๋†€๋ž๋„ค์š”.
08:48
(Cheers and applause)
181
528941
3712
(์‘์›๊ณผ ๋ฐ•์ˆ˜)
08:52
Alright, letโ€™s bring it back.
182
532653
1502
๋„ค, ๋‹ค์‹œ ๊ฐ€์ ธ์˜ค์ฃ .
08:54
And what I'm going to do right now is take control of the controller
183
534155
3378
๊ทธ๋ฆฌ๊ณ  ์ œ๊ฐ€ ์ง€๊ธˆ ํ•  ๊ฑด ์ปจํŠธ๋กค๋Ÿฌ์˜ ํ†ต์ œ๋ฅผ ๊ฐ€์ ธ์˜ค๋Š” ๊ฒ๋‹ˆ๋‹ค.
08:57
so that you guys know
184
537575
1919
์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜์„œ
08:59
that there isn't someone backstage flying this drone.
185
539535
3087
๋ฌด๋Œ€ ๋’ค์— ์ด ๋“œ๋ก ์„ ์กฐ์ข…ํ•˜๋Š” ์‚ฌ๋žŒ์ด ์—†๋‹ค๋Š” ๊ฑธ ์•„์‹ค ์ˆ˜ ์žˆ๊ฒŒ์š”.
09:03
All right, Christian, you're alright with that?
186
543164
2210
์ข‹์•„์š”, ํฌ๋ฆฌ์Šค์ฐฌ. ๊ทธ๋ ‡๊ฒŒ ํ•ด๋„ ๊ดœ์ฐฎ์„๊นŒ์š”?
09:05
CB: Yeah.
187
545374
1168
ํฌ๋ฆฌ์Šค์ฐฌ: ๋„ค.
09:07
CR: Unplug.
188
547919
1376
์ฝ”๋„ˆ: ํ”Œ๋Ÿฌ๊ทธ๋ฅผ ๋ฝ‘์„๊ฒŒ์š”.
09:10
Forward.
189
550421
1335
์•ž์œผ๋กœ.
09:16
And we're going to land this guy now.
190
556886
1919
๊ทธ๋ฆฌ๊ณ  ์ด์ œ ์ด ๋“œ๋ก ์„ ์ฐฉ์ง€์‹œํ‚ฌ ๊ฒ๋‹ˆ๋‹ค.
09:22
CB: I think I was better than you.
191
562225
1877
ํฌ๋ฆฌ์Šค์ฐฌ: ์ œ ์ƒ๊ฐ์—” ์ œ๊ฐ€ ๋‹น์‹ ๋ณด๋‹ค ๋” ์ž˜ํ•œ ๊ฒƒ ๊ฐ™์•„์š”.
09:24
(Laughter)
192
564477
1877
(์›ƒ์Œ)
09:26
(Applause)
193
566395
2545
(๋ฐ•์ˆ˜)
09:28
CR: Amazing.
194
568981
1168
์ฝ”๋„ˆ: ๋Œ€๋‹จํ•ฉ๋‹ˆ๋‹ค.
09:30
(Applause)
195
570191
4630
(๋ฐ•์ˆ˜)
09:34
Now I'm going to unplug it so it doesn't turn on on its own.
196
574862
4255
์ด์ œ ์ž์ฒด์ ์œผ๋กœ ์ผœ์ง€์ง€ ์•Š๊ฒŒ ์ด ํ”Œ๋Ÿฌ๊ทธ๋ฅผ ๋ฝ‘์„ ๊ฒ๋‹ˆ๋‹ค.
09:40
Perfect.
197
580701
1252
์ข‹์Šต๋‹ˆ๋‹ค.
09:43
Christian has repurposed dormant muscles from around his body
198
583454
3879
ํฌ๋ฆฌ์Šค์ฐฌ์€ ๊ทธ์˜ ๋ชธ์˜ ๋น„ํ™œ์„ฑ ๊ทผ์œก์„
09:47
for extended and augmented interactivity.
199
587375
3253
ํ™•์žฅ๋˜๊ณ  ์ฆ๊ฐ•๋œ ์ƒํ˜ธ์ž‘์šฉ์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ๋ฐ”๊พธ์—ˆ์Šต๋‹ˆ๋‹ค.
09:50
We have turned those muscles into a generic controller
200
590628
2711
์ €ํฌ๋Š” ์ด ๊ทผ์œก๋“ค์„ ์ œ๋„ค๋ฆญ ์ปจํŠธ๋กค๋Ÿฌ๋กœ ๋ฐ”๊ฟจ๊ณ ,
09:53
that in this case we've mapped into a drone,
201
593381
2085
์ง€๊ธˆ ์ด ๊ฒฝ์šฐ ์ปจํŠธ๋กค๋Ÿฌ๋ฅผ ๋“œ๋ก ์— ๋งตํ•‘ํ•ด ๋†จ์Šต๋‹ˆ๋‹ค.
09:55
but what's really cool is that joystick can be applied to anything.
202
595466
3420
ํ•˜์ง€๋งŒ ๋” ๋ฉ‹์ง„ ๊ฑด ์กฐ์ด์Šคํ‹ฑ์ด ๋ชจ๋“  ๊ฒƒ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒ๋‹ˆ๋‹ค.
09:58
Another thing that's really cool
203
598886
1543
์ง„์งœ ๋ฉ‹์ง„ ๋‹ค๋ฅธ ํ•˜๋‚˜๋Š”
10:00
is that even in individuals who are not living with motor disabilities,
204
600471
3545
์‹ฌ์ง€์–ด ์šด๋™ ์žฅ์• ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์ง€ ์•Š์€ ์‚ฌ๋žŒ๋“ค๋„
10:04
there exist dozens of dormant muscles around the body
205
604016
3587
์ฆ๊ฐ•๋˜๊ณ  ํ™•์žฅ๋œ ์ปจํŠธ๋กค ์ƒํ˜ธ ์ž‘์šฉ์„ฑ์„ ์œ„ํ•ด ์ €ํฌ๊ฐ€ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š”
10:07
that we can tap into for augmented and expanded control interactivity.
206
607645
4338
์ˆ˜์‹ญ ๊ฐœ์˜ ๋น„ํ™œ์„ฑ ๊ทผ์œก์ด ์‹ ์ฒด์— ์กด์žฌํ•œ๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค.
10:13
And lastly,
207
613234
1209
๊ทธ๋ฆฌ๊ณ  ๋งˆ์ง€๋ง‰์œผ๋กœ,
10:14
all the code related to that virtual joystick,
208
614485
2336
์ € ๊ฐ€์ƒ ์กฐ์ด์Šคํ‹ฑ๊ณผ ๊ด€๋ จ๋œ ๋ชจ๋“  ์ฝ”๋“œ๋Š”
10:16
we're going to open source
209
616863
1251
์˜คํ”ˆ ์†Œ์Šค๋กœ ๊ณต๊ฐœํ•˜์—ฌ
10:18
so that you can implement it and improve upon it.
210
618156
4129
์—ฌ๋Ÿฌ๋ถ„์ด ์ด๋ฅผ ์ด์šฉํ•˜๊ณ  ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
10:23
There's three things that have stood out to me
211
623369
2169
๋ช‡ ๋…„ ๋™์•ˆ ์ด ํ”„๋กœ์ ํŠธ๋ฅผ ํฌํ•จํ•œ ๋‹ค์ˆ˜์˜ ๋‹ค๋ฅธ ํ”„๋กœ์ ํŠธ๋“ค์„ ํ•˜๋ฉฐ
10:25
from working on this project and many others over the years.
212
625538
2919
์ œ๊ฒŒ ๋ˆˆ์— ๋ˆ ์„ธ ๊ฐ€์ง€๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
10:28
One,
213
628791
1418
์ฒซ ๋ฒˆ์งธ,
10:30
we cannot conflate the brain with the mind.
214
630209
3003
์ €ํฌ๋Š” ๋‡Œ๋ฅผ ์ •์‹ ๊ณผ ์œตํ•ฉํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.
10:33
In order to understand emotions
215
633212
2586
๊ฐ์ •, ๊ธด์žฅ, ๊ทธ๋ฆฌ๊ณ  ์ •์‹  ์ „๋ฐ˜์„
10:35
and tensions and the mind overall,
216
635840
2044
์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š”
10:37
we have to measure data from all over the body,
217
637884
2377
์šฐ๋ฆฌ๋Š” ๋‹จ์ˆœํžˆ ๋‡Œ์—์„œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ชธ ์ „์ฒด์—์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์ธก์ •ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
10:40
not just the brain.
218
640261
1543
10:42
Two,
219
642221
1168
๋‘ ๋ฒˆ์งธ,
10:43
open-source technology access and literacy
220
643431
3295
์˜คํ”ˆ ์†Œ์Šค ๊ธฐ์ˆ  ์ ‘๊ทผ์„ฑ ๋ฐ ์‹์ž๋ ฅ์€
10:46
is one way that we can combat the potential ethical challenges we face
221
646767
3754
์‚ฌํšŒ์— ์‹ ๊ฒฝ๋ง ๊ธฐ์ˆ ์„ ๋„์ž…ํ•  ๋•Œ ์ €ํฌ๊ฐ€ ๋งˆ์ฃผํ•˜๋Š”
10:50
in introducing neural technology to society.
222
650521
2753
์ž ์žฌ์ ์ธ ์œค๋ฆฌ์  ๋ฌธ์ œ์— ๋Œ€ํ•ด ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ๋Š” ํ•œ ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค.
10:53
But that's not enough.
223
653649
1293
ํ•˜์ง€๋งŒ, ๊ทธ๊ฒƒ์œผ๋กœ๋Š” ๋ถˆ์ถฉ๋ถ„ํ•ฉ๋‹ˆ๋‹ค.
10:54
We have to do much, much more than that.
224
654942
2711
๊ทธ๋ณด๋‹ค ํ›จ์”ฌ ๋” ๋งŽ์€ ๊ฒƒ์„ ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
10:57
It's very important, imperative, that we set up guardrails
225
657653
4046
๋ฐฉํ˜ธ์ฑ…์„ ์„ค์น˜ํ•ด ์ €ํฌ๊ฐ€ ์‚ด๊ณ ์ž ํ•˜๋Š” ๋ฏธ๋ž˜๋ฅผ
11:01
and design the future that we want to live in.
226
661741
2544
์„ค๊ณ„ํ•˜๋Š” ์ผ์€ ๋งค์šฐ ์ค‘์š”ํ•˜๋ฉฐ ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค.
11:05
Three.
227
665494
1210
์„ธ ๋ฒˆ์งธ,
11:07
It's the courage and resilience of trailblazers like Christian
228
667914
4087
ํ•  ์ˆ˜ ์—†๋Š” ์ผ ๋•Œ๋ฌธ์— ๊ผผ์ง ๋ชปํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ ๋Œ€์‹ 
11:12
who don't get bogged down by what they can't do,
229
672001
2419
๋ถˆ๊ฐ€๋Šฅ์ด ์‚ฌ์‹ค ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ๊ฒƒ์„ ์ฆ๋ช…ํ•˜๋ ค ๋…ธ๋ ฅํ•  ์ˆ˜ ์žˆ๋˜ ๊ฒƒ์€
11:14
but instead strive to prove that the impossible is in fact possible.
230
674420
4421
ํฌ๋ฆฌ์Šค์ฐฌ๊ณผ ๊ฐ™์€ ๊ฐœ์ฒ™์ž๋“ค์˜ ์šฉ๊ธฐ์™€ ํšŒ๋ณต๋ ฅ ๋•๋ถ„์ž…๋‹ˆ๋‹ค.
11:19
(Applause)
231
679258
6966
(๋ฐ•์ˆ˜)
11:27
And since none of this would have been possible without you, Christian,
232
687433
3337
์ด ์ค‘ ๊ทธ ๋ฌด์—‡๋„ ๋‹น์‹ ์ด ์•„๋‹ˆ์—ˆ๋‹ค๋ฉด ๊ฐ€๋Šฅํ•˜์ง€ ์•Š์•˜์„ ๊ฑฐ์˜ˆ์š”, ํฌ๋ฆฌ์Šค์ฐฌ.
11:30
the stage is yours.
233
690811
1585
์ด ๋ฌด๋Œ€๋Š” ์ด์ œ ๋‹น์‹ ์˜ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
11:32
CB: Yeah, hi, everybody.
234
692438
1794
ํฌ๋ฆฌ์Šค์ฐฌ: ์˜ˆ, ์•ˆ๋…•ํ•˜์„ธ์š”. ๋ชจ๋‘๋“ค.
11:34
Audience: Hi.
235
694690
1126
๊ด€๊ฐ: ์•ˆ๋…•ํ•˜์„ธ์š”.
11:36
CB: I'm excited to be here today.
236
696734
1752
ํฌ๋ฆฌ์Šค์ฐฌ: ์ œ๊ฐ€ ์˜ค๋Š˜ ์ด ์ž๋ฆฌ์— ์žˆ์„ ์ˆ˜ ์žˆ์–ด ๊ธฐ์˜๋„ค์š”.
11:39
I was born with a genetic condition that affects my mobility
237
699237
4713
์ €๋Š” ์ œ ์šด๋™์„ฑ์„ ์ œํ•œํ•˜๋Š” ์œ ์ „์ ์ธ ์กฐ๊ฑด์„ ๊ฐ€์ง€๊ณ  ํƒœ์–ด๋‚ฌ๊ณ 
11:43
and requires me to have assistance.
238
703991
2920
๋ณด์กฐ๊ฐ€ ํ•„์š”ํ–ˆ์Šต๋‹ˆ๋‹ค.
11:47
Despite my disability,
239
707495
2127
์ €๋Š” ์žฅ์• ๊ฐ€ ์žˆ์ง€๋งŒ
11:49
I'm a very happy and fulfilled person.
240
709622
2669
๋งค์šฐ ํ–‰๋ณตํ•˜๊ณ  ์ถฉ๋งŒํ•œ ์‚ฌ๋žŒ์ž…๋‹ˆ๋‹ค.
11:53
What truly holds me back are not my physical limitations.
241
713376
4254
์ •๋ง๋กœ ์ €๋ฅผ ๋ฐฉํ•ดํ–ˆ๋˜ ๊ฒƒ์€ ์ €์˜ ๋ฌผ๋ฆฌ์ ์ธ ํ•œ๊ณ„๊ฐ€ ์•„๋‹Œ
11:58
It's rather the barriers in the environment.
242
718256
3044
ํ™˜๊ฒฝ์  ์žฅ๋ฒฝ๋“ค์ด์—ˆ์Šต๋‹ˆ๋‹ค.
12:01
I'm a tech nerd and political activist.
243
721342
3045
์ €๋Š” ๊ธฐ์ˆ ๊ด‘์ด์ž ์ •์น˜ ์šด๋™๊ฐ€์ž…๋‹ˆ๋‹ค.
12:04
I believe that technology can empower disabled people.
244
724720
3837
์ €๋Š” ๊ธฐ์ˆ ์ด ์žฅ์• ์ธ๋“ค์—๊ฒŒ ํž˜์„ ์‹ค์–ด์ค„ ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋ฏฟ์Šต๋‹ˆ๋‹ค.
12:08
It can help create a better,
245
728891
3128
์ด๋Š” ๋” ๋‚˜์€, ๋” ํฌ๊ด„์ ์ธ,
12:12
more inclusive and accessible world
246
732019
3212
๋” ์ ‘๊ทผ์„ฑ์ด ๋†’์€ ๋ชจ๋‘๋ฅผ ์œ„ํ•œ ์„ธ์ƒ์„ ๋งŒ๋“œ๋Š” ๊ฒƒ์— ๋„์›€์„ ์ค„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
12:15
for everyone.
247
735273
1126
12:16
This demonstration is a perfect example.
248
736983
3128
์ด ์‹œ์—ฐ์ด ์™„๋ฒฝํ•œ ์˜ˆ์ž…๋‹ˆ๋‹ค.
12:20
We saw what's possible when cutting edge technology
249
740486
4213
์šฐ๋ฆฌ๋Š” ์ตœ์‹  ๊ธฐ์ˆ ์ด ์ธ๊ฐ„์˜ ํ˜ธ๊ธฐ์‹ฌ๊ณผ ์ฐฝ์กฐ์„ฑ๊ณผ ํ•ฉ์ณ์งˆ ๋•Œ
12:24
is combined with human curiosity and creativity.
250
744699
4629
๋ฌด์—‡์ด ๊ฐ€๋Šฅํ•œ์ง€๋ฅผ ๋ณด์•˜์Šต๋‹ˆ๋‹ค.
12:29
So let's build tools that empower people,
251
749662
3170
์‚ฌ๋žŒ๋“ค์—๊ฒŒ ํž˜์„ ์‹ค์–ด์ฃผ๋Š” ๋„๊ตฌ,
12:32
applications that break down barriers
252
752873
3295
์žฅ์• ๋ฌผ์„ ๋ถ€์ˆ˜๋Š” ์‘์šฉ,
12:36
and systems that unlock a world of possibilities.
253
756210
4296
๊ทธ๋ฆฌ๊ณ  ๊ฐ€๋Šฅ์„ฑ์˜ ์„ธ๊ณ„๋ฅผ ์—ฌ๋Š” ์‹œ์Šคํ…œ์„ ํ•จ๊ป˜ ๋งŒ๋“ค์–ด ๊ฐ€๋ด…์‹œ๋‹ค.
12:40
I think that's an idea worth spreading.
254
760923
3504
์ €๋Š” ์ด๊ฒƒ์ด ๋„๋ฆฌ ์•Œ๋ฆด ๋งŒํ•œ ๊ฐ€์น˜๊ฐ€ ์žˆ๋Š” ์ƒ๊ฐ์ด๋ผ ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
12:44
Thank you.
255
764468
1293
๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
12:45
(Cheers and applause)
256
765803
6965
(ํ™˜ํ˜ธ์™€ ๋ฐ•์ˆ˜)
์ด ์›น์‚ฌ์ดํŠธ ์ •๋ณด

์ด ์‚ฌ์ดํŠธ๋Š” ์˜์–ด ํ•™์Šต์— ์œ ์šฉํ•œ YouTube ๋™์˜์ƒ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„ ์ตœ๊ณ ์˜ ์„ ์ƒ๋‹˜๋“ค์ด ๊ฐ€๋ฅด์น˜๋Š” ์˜์–ด ์ˆ˜์—…์„ ๋ณด๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋™์˜์ƒ ํŽ˜์ด์ง€์— ํ‘œ์‹œ๋˜๋Š” ์˜์–ด ์ž๋ง‰์„ ๋”๋ธ” ํด๋ฆญํ•˜๋ฉด ๊ทธ๊ณณ์—์„œ ๋™์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ์žฌ์ƒ์— ๋งž์ถฐ ์ž๋ง‰์ด ์Šคํฌ๋กค๋ฉ๋‹ˆ๋‹ค. ์˜๊ฒฌ์ด๋‚˜ ์š”์ฒญ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ด ๋ฌธ์˜ ์–‘์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

https://forms.gle/WvT1wiN1qDtmnspy7