Not a potential investor, but very excited to see this out in the market! This can revolutionize exercise science and even personalized training, which are both my areas of interest.
I loved every single detail of this app, and I hope that it will go to the market soon, I have a question related to movement detection; does it detect the movement automatically based on the power output and the movement pattern? If the answer is yes, to how level of accuracy it can measure the difference between similar range of motions movements? For example, I want to test my pull-ups' power output and other data measurements versus chest-to-bar. Or my burpee to target VS bar-facing burpees. They have almost the same pattern of movement, but in the end, they are different movements
The movements you mention have different patterns of movement of the center of gravity, hence the software can detect those differences. Hence power output will be different too. For instance, doing 10 c2b requires more energy output that 10 kipping pull up.
That sounds like a really cool device to get ones hand on. You have to enter the weight lifted for loaded exercises in order for the software to work correctly, right? How does it distinguish between similar exercises, where multiple reference points of movement would be neccesseray to discern differrent movement patterns, let's say, a front squat and a thruster? In the latter I would assume it would be advantageous to have a device not only at the center of gravity, but also on the wrists.
Yes, that is correct. Otherwise the software cannot accurately calculate total power output. Thursters and frontsquats do have a different movement pattern and can be detected automatically. A wrist - worn IMU could potentially improve accuracy, but I'll have to ask the tech guys about that :).
Very interesting! Maybe it’s been explained in the video and it escaped me, but (a) is the software able to recognize any repeated movement following a pattern as an exercise and then the user can enter the exercise name or (b) does it work in the same way as -I guess- the garmin app for fitness does, that is, it matches the movement detected with a model within an encyclopedia of movements in the software itself? Or maybe if (b) makes no match, then it defaults to (a)? I find that the garmin app only recognizes deadlifts, squats, pull-ups and push-ups and not much more…
I wonder if you could do an ankle tracker and a wrist tracker to see full body movement for things like toes to bar or pull ups where your hands don't really move. Then you could input height, weight and could see the relative positions to determine power more acxurately
Potentially, good point. We found that the chest-based tracker is suffiently accurate because of the fact that it is close to the center of gravity. Which is key.
How a about looming at efficiency and economy of movement? Over individual reps, rounds and whole WoDs. If two people, or the same person in two rounds, have to do the same set of movements. Lets say 21 pull ups. If someone can do the reps, meeting standards, while expending less power, that eiuld be advantageous for competition right? Presumably a BMU requires more power than a pullup. The same load is getting moved a further distance. So someone wouldnt likely do a BMU in a workout prescribed as Pull Ups if pure speed is the desired stimulus. If you could track and fine tune using less power to achieve a pull up we could quantifiably evaluate movement patterns and technique. It would also be interesting to start quantifying workouts and movements according to their required power output. We do this somewhat with time domains, and metabolic pathways, etc... But it would be interesting to look at the avg power output for workouts and note what type of athletes did better or worse at them.
Absolutely! We have a video coming up showing how different styles of burpees can have a massive effect on power output, while meeting the standards in all styles. There are endless usecases of this device, movement efficiency is defo high on that list.
This is very cool 😊
Not a potential investor, but very excited to see this out in the market! This can revolutionize exercise science and even personalized training, which are both my areas of interest.
We think so too. This device can change the way we tackle workouts and movements.
I loved every single detail of this app, and I hope that it will go to the market soon,
I have a question related to movement detection; does it detect the movement automatically based on the power output and the movement pattern? If the answer is yes, to how level of accuracy it can measure the difference between similar range of motions movements?
For example, I want to test my pull-ups' power output and other data measurements versus chest-to-bar. Or my burpee to target VS bar-facing burpees. They have almost the same pattern of movement, but in the end, they are different movements
The movements you mention have different patterns of movement of the center of gravity, hence the software can detect those differences. Hence power output will be different too. For instance, doing 10 c2b requires more energy output that 10 kipping pull up.
@@wod-sciencethat’s great to know man
Wishing that it’s going to be launched soon
All the best of luck
That sounds like a really cool device to get ones hand on. You have to enter the weight lifted for loaded exercises in order for the software to work correctly, right? How does it distinguish between similar exercises, where multiple reference points of movement would be neccesseray to discern differrent movement patterns, let's say, a front squat and a thruster? In the latter I would assume it would be advantageous to have a device not only at the center of gravity, but also on the wrists.
Yes, that is correct. Otherwise the software cannot accurately calculate total power output. Thursters and frontsquats do have a different movement pattern and can be detected automatically. A wrist - worn IMU could potentially improve accuracy, but I'll have to ask the tech guys about that :).
Very interesting! Maybe it’s been explained in the video and it escaped me, but (a) is the software able to recognize any repeated movement following a pattern as an exercise and then the user can enter the exercise name or (b) does it work in the same way as -I guess- the garmin app for fitness does, that is, it matches the movement detected with a model within an encyclopedia of movements in the software itself? Or maybe if (b) makes no match, then it defaults to (a)? I find that the garmin app only recognizes deadlifts, squats, pull-ups and push-ups and not much more…
It detects the movements fully automatically from a list of movements that the algos have learned. We will build features to adjust potential errors 👍
I wonder if you could do an ankle tracker and a wrist tracker to see full body movement for things like toes to bar or pull ups where your hands don't really move. Then you could input height, weight and could see the relative positions to determine power more acxurately
Potentially, good point. We found that the chest-based tracker is suffiently accurate because of the fact that it is close to the center of gravity. Which is key.
Cool tech! If there was a chance to bring it to CrossFit Limmatstadt it would be awesome to test it out!
Yes. That will be possible.
How a about looming at efficiency and economy of movement?
Over individual reps, rounds and whole WoDs. If two people, or the same person in two rounds, have to do the same set of movements. Lets say 21 pull ups.
If someone can do the reps, meeting standards, while expending less power, that eiuld be advantageous for competition right?
Presumably a BMU requires more power than a pullup. The same load is getting moved a further distance. So someone wouldnt likely do a BMU in a workout prescribed as Pull Ups if pure speed is the desired stimulus.
If you could track and fine tune using less power to achieve a pull up we could quantifiably evaluate movement patterns and technique.
It would also be interesting to start quantifying workouts and movements according to their required power output.
We do this somewhat with time domains, and metabolic pathways, etc...
But it would be interesting to look at the avg power output for workouts and note what type of athletes did better or worse at them.
Absolutely! We have a video coming up showing how different styles of burpees can have a massive effect on power output, while meeting the standards in all styles.
There are endless usecases of this device, movement efficiency is defo high on that list.