What AI Powered TRAINING IS & WHAT IT IS NOT
Podcast, Remote, Remote
🤖 Thoughts around AI coaching & periodization!
Talks and presentations
The “Development of Algorithms to obtain Reliable stride-by-stride running kinematic DAta in Real life conditions (DARDAR)” project
Talk, Remote, Remote
At the ECSS virtual congress in 2021 I presented a work in behalf of a research group working on new algorithms for unning kinematic pattern recognition. The comonents of the researc group were as follows: A. Godin, A. Zignoli, N. Peghini, and L. Mourot.
How to process power data in sports
Tutorial, Remote, Remote
This hands on tutorial was part of the International Summer School in Wearable Sensors in Sport, Energetics and power monitoring in sport. I paste here the description of the tutorial from the school website.
DeMotu project: design and production of a 3D printed human knee for research in biomechanics
Talk, Trentino Sviluppo, Rovereto, Trento, Italy
In this talk delivered at the Mountain Sport and Health international conference, I presented the results of the DeMotu project in behalf of the research group: A. Zignoli, C. Malacarne, P. Bosetti, L. Bortolan, D. Tombolato and F. Biral. The talk was mainly about 3D printing technologies apoplied to the design of new physical models of the human knee.
Modeling the acute physiological response to cycling exercise: the blood lactate concentration challenge
Talk, University of Konstanz, Konstanz, Germany
Modelling lactate concentration durng cycling exercise has always been challenging. In this talk at the workshop of Modelling in Endurance Sports, I presented modelling apporaches in behalf of the research group: A. Zignoli, A. Fornasiero, M. Morelli, F. Biral, E. Bertolazzi, B. Pellegrini and F. Schena.
An optimal control approach to the high intensity interval training design
Talks, Congress Center, Caen, France
At the 2016 edition of the World Congress of Cycling Science, I presented a new methodology that can be adopted to automatically prescribe high intensity interval training sessions with optimal control techniques. The research teeam was compesed by: A. Zignoli, A. Fornasiero, A. Savoldelli, M. Morelli, E. Bertolazzi, F. Biral and B. Pellegrini.