  Different technologies can acquire data for gait analysis, such as optical
systems and inertial measurement units (IMUs). Each technology has its
drawbacks and advantages, fitting best to particular applications. The
presented multi-sensor human gait dataset comprises synchronized inertial and
optical motion data from 25 subjects free of lower-limb injuries, aged between
18 and 47 years. A smartphone and a custom micro-controlled device with an IMU
were attached to one of the subject's legs to capture accelerometer data, and
42 reflexive markers were taped over the whole body to record three-dimensional
trajectories. The trajectories and accelerations were simultaneously recorded
and synchronized. Participants were instructed to walk on a straight-level
walkway at their normal pace. Ten trials for each participant were recorded and
pre-processed in each of two sessions, performed on different days. This
dataset supports the comparison of gait parameters and properties of inertial
and optical capture systems, whereas allows the study of gait characteristics
specific for each system.
