Guido Mascia

Always do the spia.

[Guido Mascia @maskul17]

Putting things in order is always a good thing.
K-Mean #Clustering is one of the many methods available. It is something I found really interesting mostly because it is conceptually easy.

Have a look if you are interested!

https://t.co/ZkcnZGUGSG

[Guido Mascia @maskul17]

This approach allows us to quantify how strong is the relationship between each feature and the target outcome.
Although easy, it is very helpful, so maybe you want to have a look!
https://t.co/oTWe9j0hpp

[Guido Mascia @maskul17]

Most of the methods I found in literature for detecting gait events were excruciatingly convoluted. However, we had the opportunity of developing a stupidly easy method for consistently extracting them from a foot-mounted gyroscope.

Have a look here! https://t.co/EpxvaM30hz

[Guido Mascia @maskul17]

A brief explanation on why one should split the #dataset when developing a #MachineLearning model.

https://t.co/DUeCZx0YP4

[Guido Mascia @maskul17]

A brief description on how to easily #normalize a variable, and on which are the implications of not doing it in #MachineLearning.

https://t.co/NIcIkKJcPa

[Guido Mascia @maskul17]

Can you estimate peak jump height accurately using a #Smarthpone? With the aid of #MachineLearning you can!

Check out our new research paper available on @FrontiersIn @BeatriceDeLazz1 @VCamomilla

https://t.co/r44SlPPjNJ

[BiomechFOROIT @BiomechFOROIT]

Testing runners! Here our current project in collaboration with #diadora to evaluate footware comfort perception and running biomechanics #running #ergonomics #biomechanics

[Guido Mascia @maskul17]

I added a little entropy to the scientific production. Really proud of my first paper as main author! It was a long journey, but it was worth it.

Check it out at following the doi: 10.1016/j.jbiomech.2022.111202

@BiomechFOROIT @VCamomilla

[Guido Mascia @maskul17]

Really happy for participating to the 7th #BoHNes Colloquium in 🇪🇦 #Valencia 🇪🇦. Sharing knowledge and expertises makes everybody a better person. To the next one! @BiomechFOROIT

[BiomechFOROIT @BiomechFOROIT]

Testing Friday 🔍 Developing MLR to predict #jump parameters from #wearable. Moving from lab to the field, but with proper statistical cover-up🏃🏻‍♂️
#sportbiomech #inertialsensor

[Guido Mascia @maskul17]

Proud to be part of an exciting ISBS2021 conference.
I presented a work (https://t.co/VP5GVIcurB) stressing out the limitations brought by IMUs and correcting for them, using Multiple Linear Regression models. More content available at GitHub repo (https://t.co/b2WoN58yXE).