This article discusses a new approach to setting exoskeleton assistance based on user preferences using a simple interface. The approach uses a machine learning algorithm to offer pairs of assistance profiles that are most likely to be comfortable for the wearer, and the user then selects one of these two. The team tested the approach with 14 participants, and the results showed that the algorithm was able to accurately predict the user’s preferences nine out of ten times.
