WEBVTT

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So we found two things. The first thing was that

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there was certainly a better device. It was actually

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pretty accurate. The level of accuracy was the

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maximum error that we found was around 0 .01

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meter per second. And we also found that this

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error was unbiased. This means that there was

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no preference in this device to overestimate

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or underestimate the actual velocity of the device.

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during testing while most of the other devices

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that we found actually presented a bias. Hi Francesco,

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it's my pleasure to have you the second time.

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The first time we've been talking muscle activation,

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using straps, not using straps, and this time

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we'll be talking about velocity. But before we

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get there, could you please briefly introduce

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yourself? My name is Francesco Travascio and

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I'm Associate Professor at the Department of

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Mechanical and Aerospace Engineering of the University

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of Miami. I'm also a Master Weightlifter and

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I really enjoy doing studies in weightlifting

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and sports related biomechanics. So we're talking

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velocity, measurement of velocity in weightlifting

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movements. If you would tell me first why you

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decided to set up the study. Well, I was very

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fascinated about the training methodology based

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on barbell velocity. I find it that in principle,

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it seems to me a very rational approach to the

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optimization of the performance of the athlete.

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At that time, there were a number of devices

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that were used for it. tracking the bar per velocity,

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obviously the first thing that we started to

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do was to look into those that could be more

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immediately available for a general user. And

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we looked into camera apps, phones or tablets,

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and we found one that at that time seemed to

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us a very interesting type of app, very, very

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nice. And we also wanted to compare the accuracy

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of this system, obviously with our gold standard

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that is within a gate lab and motion capture.

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system. It was an OptiTrac system that we used.

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Another problem that we found, and we actually

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couldn't find a practical solution for that,

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was the fact that some of these devices are built

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as boxes with a rotational encoder and a wire

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that is attached to the side of the barbell.

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When the barbell is lifted, a cable is pulled

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out of this device, and the rotational encoder

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measures the number of rotations, and there's

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a timer. So by the number of rotations, the timers

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can determine distance and time. to determine

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the velocity. The problem is that when you throw

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the bar on the ground, you have to be very careful

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not to throw it on the device. Eventually, it

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happened. I think Murphy's Law. It happened that

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one of these devices was smashed, and so we had

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to purchase a new one. Together with these devices,

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we also used another very interesting device

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that is a laser positional device. Essentially,

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it's a device that is attached to the end of

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the barbell and has a sensor that emits the light.

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that is reflected by a surface and then receives

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the light back. So by measuring how much time

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it takes from the light to get out of the sensor

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and coming back, you can determine essentially

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the distance of the barber from the floor. It

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was a very neat device. I really liked it. The

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only cumbersome aspect of it is that you really

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need to have a reflecting surface, an appropriate

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reflecting surface. In fact, the device comes

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together with a little mat of a reflecting surface.

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Overall, I think that the iPhone app is probably

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one of those most practical things you can possibly

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do because everyone has a phone nowadays. And,

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you know, it's quite simple to set up. It only

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requires to establish a distance of around 3

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to 10 meters. So we are talking about between

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10 and 30 feet distance from the lifter. Possibly

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being on the side of the lifter, catching the

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thermal weight in the surgical plate. And it's

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quite practical. All right. So let's bring the

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design of the study together. Could you list

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the devices and then what you compared it to

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to get the accuracy? Sure. So we had a total

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of five devices. We had what is called the Jim

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Aware RS, a Vitro, a Gravity Box. And then those

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three essentially are boxes with a cable. The

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principle of function is always the same. Then

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we had the Kinetic Flex, the device that is applied

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on the side of the barbell. And then we had the

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phone app that was called the WL Analysis, Reclinic

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analysis. So three linear transducers, one laser.

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the laser -based measurement tool and one phone

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app, so camera, 2D camera -based measurement.

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Yeah, that is correct. And your gold standard

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was? Our gold standard was our motion capture

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system, an Optidrug system that included 12 cameras.

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Awesome. Obviously, to make it work, track the

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movement of the barbell, we had to apply a marker

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to the barbell. We applied the marker to the

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side of the barbell. It's essentially, it's a

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reflective sphere. We performed the measurement,

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all the measurements simultaneously. We had on

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one side, the two linear transducers and the

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reflective marker. On the other side, one linear

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transducer and the Kinect Flex. Awesome. And

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obviously the phone. Yes, the phone on the side

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and 12 cameras around for the touching system.

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Correct, yes. Now, who were the participants?

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Who did you invite to the study? Those were athletes

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competing at regional and national levels. Most

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of them were from a local gym. But there were

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a wee session. We advertised the study in all.

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Florida in our state and actually we were very

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pleased by a couple of athletes that came from

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Tampa which is located five hours driving from

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Miami and they explicitly came to Miami and they

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drove for five hours just to be part of the study

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and this was really incredible. In terms of comparing

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the devices what measurements did you decide

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to use and what movements did you pass? So for

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the measurements we essentially we the barbell

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velocity in clean and in snatch. We left to the

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participants to decide whether they wanted to

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power or to execute the full movement of all

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the pieces. And we wanted to measure the barbell

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velocity at different percentages of the maximum

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effort just to see if there are any changes in

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the accuracy of the devices as the velocity increases

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or decreases. So we decided to make sure that

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every lift was a proper lift. And also for probably

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safety reasons, we wanted to limit the percentage

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of effort to 70%. So we had lifts executed at

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40 % and at 70%. Essentially at 40%, probably

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the barbell velocity at that point is probably

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quite high, I would say. But at 70 % still, you

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have a pretty high speed of the barbell. The

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numbers, what are the average, more like median

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velocity of the barbell? would be at 40 %? We

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are in the range of two meters per second. There

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are some values of barber velocity that have

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been measured in the past, many, many years ago.

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And well, I mean, but those measurements were

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performed on elite athletes. And obviously, I

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believe that the elite is always, you know, biomechanically

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speaking, is a different animal rather compared

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to the normal population of excellent athletes,

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but still at regional and national levels. They

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are probably more similar. humans. In terms of

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clean, we are talking at 40%, we are talking

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about 2 .3 meters per second. We take it at 70

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% is about 1 .93 meters per second. And for the

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snatch, it's a little bit faster. It's about

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2 .5 or 40 % and around 2 .2, around 70%. Awesome.

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Was it mean velocity or peak velocity you were

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measuring? No, we are talking about peak velocity.

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We were interested in measuring the peak velocity

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because it would just make more sense in my opinion

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within generally in powerlifting the measurements

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that are reported refer to the peak velocity

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as well as the mean velocity within the entire

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lift but we wanted to focus only on a variable

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that in our view made more sense for the sport

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that is essentially the peak velocity which expresses

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the maximum power you can express we measure

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the three repetitions per lift per at 40 percent

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three repetitions per lift that's seven percent

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and we averaged the measurements and essentially

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what we did was to measure these velocities with

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all these devices these peak velocities with

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all these devices and compare them to the gold

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standard that was the motion capture system and

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calculate the error essentially we calculated

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that the error as the difference between the

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measurement with the device versus the measurement

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with the motion capture system and the errors

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made that we found for all the values that we

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All the leads that we measured would vary between,

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in the lowest case, like 0 .01 meter per second

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up to almost 0 .2 meters per second. Let's start

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from the most important thing. So which one,

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which of the devices, if any, was the most accurate?

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So we found two things. The first thing was that

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there was certainly a better device. That was

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the GymAware. It was actually pretty accurate.

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The level of accuracy was the maximum error that

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we found was around 0 .01 meter per second. And

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we also found that this error was unbiased. This

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means that there was no preference in this device

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to overestimate or underestimate the actual velocity

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of the device of the barbell during testing,

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while most of the other devices that we found

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actually presented a bias, meaning that the flex

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device, owner and the truth box presented a negative

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bias meaning that they tended to underestimate

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the actual peak velocity and these underestimations

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were up to 0 .18 0 .17 meter per second now in

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order to get a sense of how important is this

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error if we would extrapolate The value of the

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velocity of an athlete from 60 % to 100 % represents

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the one repetition max. When we are in the region

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of the 95 % to 100%, which is the region that

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most matters to us because it's the peak of the

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performance of this person, that change in the

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power back velocity could be of 0 .1 billion

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per second or probably less. So essentially having

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an error for almost a double, 0 .15, 0 .17. represents

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a great limitation in this device for this particular

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application. Regarding, we actually was, I mean,

00:10:55.860 --> 00:10:58.659
obviously all these devices have a different

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cost associated to it, right? So the GymAware

00:11:01.139 --> 00:11:03.659
device was represented the most expensive type

00:11:03.659 --> 00:11:07.639
of device and something that is probably not

00:11:07.639 --> 00:11:10.679
immediately accessible to the general user because

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we are talking about around $2 ,000 or $3 ,000

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to purchase it versus a phone app that is free

00:11:16.500 --> 00:11:20.470
or $9 without. advertisements right so we were

00:11:20.470 --> 00:11:22.529
a little bit disheartened when we found that

00:11:22.529 --> 00:11:25.429
the phone app actually presented this big limitation

00:11:25.429 --> 00:11:27.970
but i believe that the main limitation of the

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phone app is not on the algorithm that actually

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calculates the velocity of the barbell the limitation

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is essentially in frame per second that the phone

00:11:36.950 --> 00:11:40.100
can can acquire. So, initially, if you could

00:11:40.100 --> 00:11:43.399
have a phone that has, or a tablet, or any device

00:11:43.399 --> 00:11:46.899
that has a larger frame per fps compared to a

00:11:46.899 --> 00:11:50.259
regular iPhone or an Android, it is highly possible

00:11:50.259 --> 00:11:53.559
that you could significantly reduce the error

00:11:53.559 --> 00:11:55.960
in the estimate. The advantage of this, so one

00:11:55.960 --> 00:11:58.399
tool of this... Well, could we just explain why

00:11:58.399 --> 00:12:01.659
frames per second matter? Why they are the limitation?

00:12:02.059 --> 00:12:05.179
Sure, absolutely. Essentially, the software that

00:12:05.179 --> 00:12:09.019
is used in this in these applications essentially

00:12:09.019 --> 00:12:12.659
tracks the position of the plate frame by frame.

00:12:12.799 --> 00:12:16.100
So by tracking the position, it tracks the position

00:12:16.100 --> 00:12:18.059
of the plate and refers this position of the

00:12:18.059 --> 00:12:21.419
plate to an origin of a system of reference.

00:12:21.519 --> 00:12:24.480
So when the lifter is about to start, the plate

00:12:24.480 --> 00:12:26.899
is in the lowest position. So the app generally

00:12:26.899 --> 00:12:29.759
boxes the plate into a square and determines

00:12:29.759 --> 00:12:32.039
the center of the square. The center of the square

00:12:32.039 --> 00:12:34.200
would be the origin of the motion of the parallel.

00:12:34.379 --> 00:12:37.639
As the frames go by, the position of that square

00:12:37.639 --> 00:12:40.179
that identifies the position of the plate changes

00:12:40.179 --> 00:12:43.240
in space. So a new center of the plate is identified

00:12:43.240 --> 00:12:46.120
and obviously a new center has a different coordinate,

00:12:46.259 --> 00:12:48.799
different distance from the ground, right? That's

00:12:48.799 --> 00:12:50.879
what we want to measure. Now, the problem is

00:12:50.879 --> 00:12:54.419
if we don't have enough temporal resolution of

00:12:54.419 --> 00:12:57.639
the images, in other words, if we have only few

00:12:57.639 --> 00:13:02.919
images of the lift, we may miss the actual peak

00:13:02.919 --> 00:13:05.740
moment in which there is the maximum... extension

00:13:05.740 --> 00:13:08.419
of the barbell before the velocity starts to

00:13:08.419 --> 00:13:11.740
reduce. So essentially by increasing the number

00:13:11.740 --> 00:13:13.960
of frames per second that you can get, you may

00:13:13.960 --> 00:13:16.899
not, you would eventually reduce the possibility

00:13:16.899 --> 00:13:20.720
of making an underestimate or more overestimate

00:13:20.720 --> 00:13:23.820
of the actual velocity. So the camera is measuring

00:13:23.820 --> 00:13:28.500
here. The next photo is taken here. If the peak

00:13:28.500 --> 00:13:30.899
velocity happens here, that's missed. So when

00:13:30.899 --> 00:13:33.159
you have this and this. Exactly. You're essentially

00:13:33.159 --> 00:13:37.570
missing. Or the larger is the number of pictures

00:13:37.570 --> 00:13:40.129
that you can take, allows you to take a better,

00:13:40.330 --> 00:13:43.230
to a pricing with a higher precision, the moment

00:13:43.230 --> 00:13:46.070
in which you attain the peak velocity, essentially.

00:13:46.250 --> 00:13:48.750
So for the mean velocity, maybe it's not such

00:13:48.750 --> 00:13:51.210
a big problem because you kind of average all

00:13:51.210 --> 00:13:54.250
the measurements across the whole movement, like,

00:13:54.330 --> 00:13:57.110
for example, in squat. But for snatch and clean,

00:13:57.230 --> 00:13:59.830
where the movements are very fast, this loss

00:13:59.830 --> 00:14:03.690
of data is quite significant and will impact.

00:14:04.169 --> 00:14:06.990
accuracy. Yes, absolutely. I agree. And it's

00:14:06.990 --> 00:14:09.929
also a matter of, yes, absolutely. Okay. So Gmware,

00:14:10.090 --> 00:14:12.970
the most accurate, unfortunately the most expensive,

00:14:13.049 --> 00:14:15.629
then phone app probably would be more accurate

00:14:15.629 --> 00:14:18.889
if the camera would be better. So maybe in a

00:14:18.889 --> 00:14:21.289
few years we will get there where the general

00:14:21.289 --> 00:14:26.509
phone camera will be sampling in 120 or maybe

00:14:26.509 --> 00:14:28.789
more, I don't know. I believe that you should

00:14:28.789 --> 00:14:34.049
go for a higher than 120 probably. Yes, probably

00:14:34.049 --> 00:14:36.409
you should have. The good thing of the phone

00:14:36.409 --> 00:14:38.990
app is that you can also upload videos and analyze

00:14:38.990 --> 00:14:42.669
the videos. So, for instance, if you could acquire

00:14:42.669 --> 00:14:45.610
data with a GoPro camera that is pretty good

00:14:45.610 --> 00:14:48.409
at taking images with a very large number of

00:14:48.409 --> 00:14:52.269
frames per second, you could upload this video

00:14:52.269 --> 00:14:54.629
into your phone or tablet or whatever device

00:14:54.629 --> 00:14:57.190
you want to use and analyze the data with this

00:14:57.190 --> 00:14:59.950
phone application. Obviously, this defeats the

00:14:59.950 --> 00:15:02.549
purpose of the practical aspect of having a phone.

00:15:02.669 --> 00:15:04.830
the gym and measuring on the spot. So it makes

00:15:04.830 --> 00:15:08.409
further, it increases the difficulty of the logistic,

00:15:08.409 --> 00:15:11.649
if you want, the logistic complexity of implementing

00:15:11.649 --> 00:15:14.789
a parallel velocity training system. But you

00:15:14.789 --> 00:15:18.269
could set it up at the competition. So it's,

00:15:18.269 --> 00:15:22.149
you know, measuring maximal effort at the right

00:15:22.149 --> 00:15:24.389
environment, the optimal environment, which is

00:15:24.389 --> 00:15:26.710
a competition for a weightlifter without even

00:15:26.710 --> 00:15:28.909
touching the lifter. Absolutely. Yes. That's

00:15:28.909 --> 00:15:30.970
minimally invasive. I mean, it's non -invasive

00:15:30.970 --> 00:15:34.080
essentially. Yes. So I just wanted to move to

00:15:34.080 --> 00:15:38.480
Flex device and, oh yeah, these two. So could

00:15:38.480 --> 00:15:40.960
you comment on these? How did they perform in

00:15:40.960 --> 00:15:43.460
terms of accuracy and what were the problems?

00:15:43.820 --> 00:15:46.139
So the V -Trub also had a performance that was

00:15:46.139 --> 00:15:49.139
comparable to the phone app. And it's also true

00:15:49.139 --> 00:15:52.379
that V -Trub was the lowest cost position device

00:15:52.379 --> 00:15:55.659
of the three that we tested. Flex also had an

00:15:55.659 --> 00:15:59.059
error that was in the neighborhood of 0 .1 meter

00:15:59.059 --> 00:16:02.659
per second, a little bit more than. 0 .1 0 .12

00:16:02.659 --> 00:16:05.419
meter per second according to the type of lift

00:16:05.419 --> 00:16:08.039
probably gravity box was the next best device

00:16:08.039 --> 00:16:11.019
after the gym aware still included an error of

00:16:11.019 --> 00:16:13.820
0 .1 meter per second in the clean at the box

00:16:13.820 --> 00:16:20.000
and 0 .05 meters per second for a snatch so in

00:16:20.000 --> 00:16:22.740
my opinion still difficult to would be still

00:16:22.740 --> 00:16:26.440
problematic when you are interested in to determine

00:16:26.440 --> 00:16:29.639
the actual peak velocity at very high percentages

00:16:30.779 --> 00:16:33.279
Do you think if obviously many coaches, most

00:16:33.279 --> 00:16:35.399
of the coaches will not have access to motion

00:16:35.399 --> 00:16:39.860
capture. So this level of data accuracy is unattainable

00:16:39.860 --> 00:16:43.960
for a casual coach or the coach who is not working

00:16:43.960 --> 00:16:47.539
in a sports center or Olympics preparation center.

00:16:47.840 --> 00:16:51.919
So would it be still worth buying a linear transducers

00:16:51.919 --> 00:16:55.940
or they are basically at the level, apart from

00:16:55.940 --> 00:16:58.320
DreamAware, that is pretty accurate. Are they

00:16:58.320 --> 00:17:02.289
at the level of the mobile? How do they, from

00:17:02.289 --> 00:17:05.190
the practical sense, how do they line up? Well,

00:17:05.269 --> 00:17:07.650
I mean, from the practical sense, I think that

00:17:07.650 --> 00:17:11.029
besides Gemaware, that it showed to be extremely

00:17:11.029 --> 00:17:13.430
accurate compared to the others. These other

00:17:13.430 --> 00:17:16.289
linear transducers, in my opinion, are not, in

00:17:16.289 --> 00:17:19.240
my opinion, they are not designed in a way. Well,

00:17:19.319 --> 00:17:21.460
they could be certainly used for this purpose

00:17:21.460 --> 00:17:24.099
with all their limitations in accuracy. But I

00:17:24.099 --> 00:17:26.440
think that the main limitation is the risk that

00:17:26.440 --> 00:17:29.240
you can actually break them because of the nature

00:17:29.240 --> 00:17:31.859
of the type of lift that you do. So I wouldn't

00:17:31.859 --> 00:17:35.039
feel comfortable in a gym. If I were a gym owner,

00:17:35.220 --> 00:17:37.299
I wouldn't be comfortable in purchasing such

00:17:37.299 --> 00:17:39.880
a device with the high risk that this can be.

00:17:39.960 --> 00:17:42.319
It is very possible that you can break it. Me

00:17:42.319 --> 00:17:45.539
personally, as a user, as an athlete, I wouldn't

00:17:45.539 --> 00:17:48.500
make this type of investment personally. Okay,

00:17:48.500 --> 00:17:52.119
how about the Flex device, the laser optical

00:17:52.119 --> 00:17:56.140
one? Well, the Flex device actually still presented,

00:17:56.200 --> 00:17:58.680
in my opinion, still presented an error that

00:17:58.680 --> 00:18:03.089
is... almost comparable to the phone app. We

00:18:03.089 --> 00:18:06.529
are comparing, in terms of snatch, we are comparing

00:18:06.529 --> 00:18:12.069
an error that is 0 .1 versus 0 .1. We are pretty

00:18:12.069 --> 00:18:16.230
much there in terms of errors. So I wouldn't

00:18:16.230 --> 00:18:18.730
make that investment. It's a very cool tool,

00:18:18.829 --> 00:18:23.609
I think. The principle is very interesting. It's

00:18:23.609 --> 00:18:26.369
a very nice tool, but according to the data that

00:18:26.369 --> 00:18:29.750
we report, it's probably not the best. Do you

00:18:29.750 --> 00:18:32.250
think it is related, or maybe I will ask it differently,

00:18:32.470 --> 00:18:34.990
why do you think it didn't perform that well?

00:18:35.190 --> 00:18:39.250
I am not sure, honestly. I don't know if the

00:18:39.250 --> 00:18:43.250
problem is making sure that there is the right

00:18:43.250 --> 00:18:45.829
illumination, the surface presents wrinkles,

00:18:46.309 --> 00:18:48.549
the reflective surface, the matte that you place

00:18:48.549 --> 00:18:52.250
underneath presents wrinkles, or there are differences

00:18:52.250 --> 00:18:56.190
in the index of reflection within the matte,

00:18:56.309 --> 00:18:58.940
or there must be some dust. that changes this

00:18:58.940 --> 00:19:01.119
index of reflection and probably can change something.

00:19:01.160 --> 00:19:04.849
I don't know. honestly why he didn't perform

00:19:04.849 --> 00:19:09.410
in he didn't perform as expected at the end i

00:19:09.410 --> 00:19:12.430
always ask a question about the favorite lift

00:19:12.430 --> 00:19:15.289
i asked you before so if people are interested

00:19:15.289 --> 00:19:17.569
they have to go to the previous interview and

00:19:17.569 --> 00:19:20.829
i have a different question for you you are very

00:19:20.829 --> 00:19:23.650
well versed on both sides the research in weightlifting

00:19:23.650 --> 00:19:26.369
and the practical side you are an athlete and

00:19:26.369 --> 00:19:28.769
you try the velocity for programming and so on

00:19:28.769 --> 00:19:31.650
so you are a coach too now if you could change

00:19:31.650 --> 00:19:34.339
one think in Olympic weightlifting as a sport,

00:19:34.559 --> 00:19:36.940
what would it be? Wow. I think that the sport

00:19:36.940 --> 00:19:41.960
as it is conceived is very simple, right? Because

00:19:41.960 --> 00:19:45.799
it's probably, I would say, a better way of determining

00:19:45.799 --> 00:19:48.200
and an objective way to determine whether the

00:19:48.200 --> 00:19:51.519
lift is valid or not. I mean, we talk about pressing

00:19:51.519 --> 00:19:55.319
and position angle of the elbows in pressing,

00:19:55.500 --> 00:19:59.299
in snatch and in the jerk pace. If we could have

00:19:59.299 --> 00:20:02.480
a system implemented that that can objectively

00:20:02.480 --> 00:20:04.779
determine whether or not the link is valid. Well,

00:20:04.839 --> 00:20:07.400
there is actually a system. They could actually

00:20:07.400 --> 00:20:10.180
replay, but maybe in real time, I don't know.

00:20:10.299 --> 00:20:12.400
Yeah, just to make this experience a little bit

00:20:12.400 --> 00:20:14.799
transparent, more transparent for the audience,

00:20:14.960 --> 00:20:17.599
I guess. Yes. All right, fair point. Now, where

00:20:17.599 --> 00:20:19.920
people can find you if they want to follow your

00:20:19.920 --> 00:20:22.599
work or contact you about your research? Oh,

00:20:22.619 --> 00:20:26.680
well, they can look up our website, and we also

00:20:26.680 --> 00:20:29.500
have a Twitter account, and every time that we

00:20:29.500 --> 00:20:31.940
publish a new research, or there is a new thing

00:20:31.940 --> 00:20:34.859
going on in our lab, we always tweet and they

00:20:34.859 --> 00:20:37.660
can always consult for any type of information

00:20:37.660 --> 00:20:40.180
regarding us on the website of the University

00:20:40.180 --> 00:20:42.660
of Miami, Florida. And could you mention the

00:20:42.660 --> 00:20:45.099
handle for the Twitter account? Yes, that would

00:20:45.099 --> 00:20:48.359
be um underscore biomech. Awesome. Thank you,

00:20:48.380 --> 00:20:50.259
Francesco. It was a pleasure. It was my pleasure.
