Arielle Fischer

A new, open-access, IMU-based gait dataset for researching Anterior Cruciate Ligament (ACL) injuries across different age groups and walking speeds was created by Zuckerman Faculty Scholar Ariel Fischer and her team at the Technion.   The findings, based on data from 92 participants, are included in the recently published paper, The COMPWALK-ACL: A Dataset of Multi-pace IMU Gait Kinematics in Adolescents, Adults, and ACL Injured Patients,  in Scientific Data.

Abstract: 
Gait analysis provides objective, quantitative parameters essential for assessing mobility, identifying movement impairments, and monitoring the progress of rehabilitation. While traditional lab-based systems offer high accuracy, wearable Inertial Measurement Units (IMUs) enable portable, cost-effective gait assessments outside the laboratory environment. However, the reliability and applicability of IMU-derived data across diverse populations and walking conditions require robust datasets… The dataset…enables research on normative gait across age groups, the effects of ACL injury and early recovery on movement patterns, and the development of IMU-based gait analysis methods under different walking speeds and clinical conditions.