1 citations · 1 across the 2 of their papers we have counts for
3 papers
Cross-individual generalizability of machine learning models for ball speed prediction in baseball pitching
Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto
Although machine learning (ML)-based performance outcome prediction is an important topic in contemporary sports science, one important issue is the limited understanding of the cr…
Personalized Motion Guidance Framework for Athlete-Centric Coaching
Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto
A critical challenge in contemporary sports science lies in filling the gap between group-level insights derived from controlled hypothesis-driven experiments and the real-world ne…
Data-driven modelling of low-dimensional dynamical structures underlying complex full-body human movement
Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto
One of the central challenges in the study of human motor control and learning is the degrees-of-freedom problem. Although the dynamical systems approach (DSA) has provided valuabl…