Observers can identify gender based on individual gait styles visually. Existing research showed that gender differences in gait kinematics mainly occur in the frontal and transverse planes and are influenced by various factors. This study adds to the existing work by analysing the kinematic features that distinguish gait styles influenced by gender and gait speeds. 29 females and 33 males without gait disorders took part in this study. A wireless IMU-based sensor system was used to collect 3D kinematic data at 60 Hz on a 15 m walkway at three different gait speeds. Statistical analysis was based on discrete parameters, principal component analysis (PCA), and support vector machines (SVM). Dissimilarities due to different gait speeds were analysed in transverse and frontal planes for the upper body and in the sagittal plane for the upper and lower body (p < 0.001 and Cohen’s d > 0.8). In joint angles (knees; transversal plane), segment orientation angles (upper body; frontal plane) and segment position (upper body; sagittal and frontal plane), statistically significant differences (p < 0.001 and Cohen’s d > 0.8) were observed for gender.Good classification accuracies for joint angles, segment orientation and segment positions of 97-100 % between gait speed and 77-87 % between gender groups were found. In this study, gender had less influence on gait kinematics than gait speed.:1. Introduction 2. Methods 3. Results 4. Discussion