ADL Human Arm Motion Dataset (Yuri Gloumakov)

This is a comprehensive dataset of human arm motion during Activities of Daily Living (ADL). The Cartesian locations of the head, torso, and arm segments were recorded using a motion capture system (Vicon) from 12 participants (ages 18-72, 6 male, 6 female) performing 24 unique tasks. These include both standing and sitting tasks, as well as repetitions, selected based on what would be most useful for prosthesis users, resulting in 72 recorded trials per subject. Dataset was collected and analyzed for identification, categorization, and simplification, of movement patterns for upper-limb prosthesis control in [Gloumakov Y, Spiers AJ, Dollar AM, “Dimensionality Reduction and Motion Clustering During Activities of Daily Living: Three-, Four-, and Seven-Degree-of-Freedom Arm Movements,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020] and in [Gloumakov Y, Spiers AJ, Dollar AM, “Dimensionality Reduction and Motion Clustering during Activities of Daily Living: Decoupling Hand Location and Orientation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020].