The analysis of human movement outside the laboratory could play a key role for assessing balance mechanisms in daily life, where quality of life is often reduced in patients with vestibulopathy. This dataset proposes data from 9 synchronized inertial sensors acquired during the realization of a set of 15 tasks representative of daily life, under the supervision of an operator. Fifty-nine participants: 19 with chronic bilateral vestibulopathy, 20 with chronic unilateral vestibulopathy and 20 healthy subjects were included in this study. The study aimed to quantify movement patterns, and to identify key balance parameters in each group. This dataset provides a valuable resource for validating motion analysis methods and advancing functional monitoring under real-life conditions.