UbiComp 2014 Best Paper Nominee
“Gait Analysis using shoe worn Inertial Sensors: how is Foot Clearance related to Walking Speed” was nominated as Best Paper at the ACM International Joint Conference on Pervasive and Ubiquitous Computing, in September 2014 in Seattle.
“Using shoe-worn inertial sensors, we realized that variability of foot clearance metrics contribute to the main variability of gait data that was not accounted for in previous studies. […] Assessment of clearance parameters during gait analysis is recommended to get further insight about the evolution of gait in elderly persons. Besides, characterization of the difference in clearance parameters between young people and older adults could be explicative of age-related gait pattern alteration in clinical research.”
Aminian, Büla et. al., 2014