A five-sensor IMU-based Parkinson's disease patient and control dataset including three activities of daily living

Parkinson’s disease is an often-debilitating progressive neurological
condition leading to loss of motor control. This dataset contains
kinematic sensor data from two groups: one containing 15 patients with
Parkinson’s disease, and a control group of 19 participants without any
known neurological condition. Participant ages ranged from 40–85, 21 were
male, and 13 were female. The participants wore five 9-axis Inertial
Measurement Units (IMUs) – one on each upper arm, each lower arm, and on
their head. They were asked to perform a calibration pose, followed by
three activities: making toast, putting on a cardigan, and unlocking and
opening a door, with each activity repeated three times. The IMUs recorded
time-series acceleration and orientation data from the moment where the
participant was instructed to begin the activity (inception of the idea to
act), through to the activity’s completion. This dataset is planned for
use in intent-sensing studies for assistive device control but is also
applicable for activity recognition.