Falling is a leading cause of injury and mortality across all adult age groups, highlighting it as a significant public health concern. Slips and falls during walking contribute to most of these incidents, occurring in various settings and conditions. Curvilinear walking, which makes up nearly 45% of our daily steps, plays a crucial role in understanding slip-related falls. This type of gait exhibits distinct biomechanical characteristics, including large shear-ground reaction forces (GRFs) and outward-directed impulses during turns. Curvilinear walking requires a higher coefficient of friction compared to straight walking, particularly in younger adults—a need that may not apply to healthy older adults due to differing lateral lean angles. Muscle activation patterns also differ, with delayed responses in the inside leg and advanced responses in the outside leg, influenced by the path’s curvature [1, 2]. The inside leg typically exhibits shorter, narrower steps with longer durations, resulting in a fundamental asymmetry between the lower limbs. Despite its physiological uniqueness, research on slips during curvilinear walking remains sparse. Previous studies have indicated that the severity of slips increases with tighter turning angles, and outcomes can be predicted based on the center of pressure’s distance from a zero-moment point. Nonetheless, the influence of specific contexts, such as path radius and the foot's position relative to the path, is still unclear. Current laboratory methods for inducing slips are often limited and predictable, hindering effective research on curved paths. Existing slip studies mainly involve greased surfaces, which introduce anticipatory behaviors that skew results. While treadmills and sliding platforms assist in simulating straight walking slips, they fall short for non-linear gaits. Our newly developed sliding device addresses this gap by providing unrestricted and less predictable perturbations [3, 4].