@article {pub4355,
	title = {Machine Learning for Human Movement Understanding},
	author = {Taizo Yoshikawa AND Viktor Losing},
	year = {2020},
	abstract = { Main  purpose  of  this  project  is  to  develop  fundamental  technology  for  assist  robots  to 
recover and maintain human motor skill and to extend scope of human activity. Our goal is to provide a 
system that adapts to its user{\textquoteright}s personal behavior patterns in real-time. We aim to develop a continuous 
collaboration system between the physical assist robots and the user where both alternatively adjust to 
each  other  to  maximize  the  system{\textquoteright}s  utility.  To  understand  human  movement,  we  recorded  motion 
sequence of several tasks for different subjects using motion capture system. Through analysis of human 
motion data, we extracted a general model by rule-base approach. On the other hand, since such tasks 
are not feasible with static models, we investigate the potential benefit of supervised online learning in the 
task of online action classification and Deep Learning in the task of acquiring human motion. Finally, 
developed system was extended to show its potential effect in ergonomics and in assist robotics.},
	publisher = {Taylor \& Francis},
	journal = {Advanced Robotics},
	volume = {34},
	number = {13}
}