The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 27; no. 7; pp. 1436 - 1448
• Main Authors: Capecci, Marianna, Ceravolo, Maria Gabriella, Ferracuti, Francesco, Iarlori, Sabrina, Monteriu, Andrea, Romeo, Luca, Verdini, Federica
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Aged; Arm - physiology; Biomechanical Phenomena - physiology; Biomedical monitoring; Computer applications; Databases, Factual; Dataset; Datasets; Exercise; Exercise Therapy - methods; Feature extraction; Female; Healthy Volunteers; Human motion; Humans; Kinematics; Low back pain; Male; Medical personnel; Medical services; Middle Aged; Monitoring; Monitoring, Ambulatory - methods; motion analysis; Movement - physiology; Movement Disorders - physiopathology; Movement Disorders - rehabilitation; Pain; Pelvis - physiology; Physicians; Rehabilitation; Reliability; Remote monitoring; Reproducibility of Results; RGB-D sensor; Skeleton; Torso - physiology

This paper proposes a free dataset, available at the following link, 1 named KIMORE, regarding different rehabilitation exercises collected by a RGB-D sensor. Three data inputs including RGB, depth videos, and skeleton joint positions were recorded during five physical exercises, specific for low ba...