2019
DOI: 10.1016/j.cmpb.2019.04.002
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Estimation and validation of temporal gait features using a markerless 2D video system

Abstract: Background and Objective: Estimation of temporal gait features, such as stance time, swing time and gait cycle time, can be used for clinical evaluations of various patient groups having gait pathologies, such as Parkinson's diseases, neuropathy, hemiplegia and diplegia. Most clinical laboratories employ an optoelectronic motion capture system to acquire such features. However, the operation of these systems requires specially trained operators, a controlled environment and attaching reflective markers to the … Show more

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Cited by 24 publications
(10 citation statements)
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“…During the study, we validated inertial sensors as an instrument for measuring joint kinetics by comparing them with measurements obtained with motion capture cameras, considered the gold standard for the study of joint movement and gait 37–40 . Inertial sensors are nearly 10 times less expensive than motion capture cameras, and far easier to use.…”
Section: Discussionmentioning
confidence: 99%
“…During the study, we validated inertial sensors as an instrument for measuring joint kinetics by comparing them with measurements obtained with motion capture cameras, considered the gold standard for the study of joint movement and gait 37–40 . Inertial sensors are nearly 10 times less expensive than motion capture cameras, and far easier to use.…”
Section: Discussionmentioning
confidence: 99%
“…However, these often require specialized personnel to ensure correct setup and calibration. On the other hand, a markerless approach can be more suitable for application in less constrained environments [14].…”
Section: Related Workmentioning
confidence: 99%
“…However, these often require specialized personnel to ensure setup and calibration processes and can be very time consuming. On the other hand, a markerless approach can be more suitable for application in less constrained environments [14], such as the integration of gait analysis in a clinical context. For these reasons, markerless vision-based systems are considered in this paper.…”
Section: Related Workmentioning
confidence: 99%