The dataset was annotated using a visual3D. EMG and IMU signals were filtered thoroughly according to literature recommendations. Visual3D software analyzed raw Qualysis signals, assigning joint reference frames and calculating kinematic and dynamic data. The processed data was later segmented into analysis windows to create additional feature-based datasets. Each window's features were computed, including 780 features from 30 sensors. MATLAB was used for gait analysis, comparing joint kinematic/kinetic data to normative data and processing EMG envelopes and gait cycle data. Data from the test subjects was completely anonymized using unique codes.