Replication Data for: Feasibility of Using Low-Cost Motion Capture for Automated Screening of Shoulder Motion Limitation after Breast Cancer Surgery

This document describes shared data that is the basis for the following manuscript: V. Gritsenko, E. Dailey, N. Kyle, M. Taylor, S. Whittacre, and A. K. Swisher (2015) Feasibility of Using Low-Cost Motion Capture for Automated Screening of Shoulder. PLOS ONE. In press. The data consists of shoulder joint angles of people recovering from surgery performing several arm movements designed to test active and passive range of motion at the shoulder. The data values are maximal angles calculated from motion capture by the Kinect sensor (Microsoft) and manual goniometry.