%0 Generic %A Storm, Fabio %A Buckley, Chris %A Mazza, Claudia %D 2016 %T Data for the paper 'Gait event detection in laboratory and real life settings: accuracy of ankle and waist sensor based methods​' %U https://orda.shef.ac.uk/articles/dataset/Data_for_the_paper_Gait_event_detection_in_laboratory_and_real_life_settings_accuracy_of_ankle_and_waist_sensor_based_methods_/3503180 %R 10.15131/shef.data.3503180.v1 %2 https://orda.shef.ac.uk/ndownloader/files/6433614 %2 https://orda.shef.ac.uk/ndownloader/files/6433617 %K inertial sensor %K algorithm %K gait events %K free walking %K temporal parameters %K Biomechanical Engineering %K Biomedical Engineering not elsewhere classified %X The aim of this study was to evaluate the accuracy of two algorithms for the detection of gait events and temporal parameters during free-living walking, one based on two shank-worn inertial sensors, and the other based on one waist-worn sensor. The algorithms were applied to gait data of ten healthy subjects walking both indoor and outdoor, and completing protocols that entailed both straight supervised and free walking in an urban environment. %I The University of Sheffield