NeurosciencebioRxivPreprint
Identification of whole-body reaching movement phenotypes in young and older active adults: an unsupervised machine learning approach
Michel Pfaff, Matthieu Casteran
This study uses unsupervised machine learning to identify age-independent motor control patterns in whole-body reaching movements of young and older adults.
DOI 10.1101/2024.07.09.600023