Motion Capture Apparatus
Motion Capture Apparatus - Related Videos
11:45
Three-Dimensional Kinematic Characterization of an Object Pick-Up Task Using Motion Capture
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2026
This protocol presents a standardized full-body motion capture approach for assessing the object pick-up task, illustrating how distinct movement strategies and compensatory patterns can be quantitatively characterized during this common functional activity.
09:37
Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
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Cited by 5 •
2016
The aim was to substantiate optimal use of data collection techniques for Nordic walking gait and posture analysis. Three-dimensional motion capture should be used during short duration analysis (i.e. single gait cycle), while accelerometry should be employed for longer duration analysis (i.e. repeated cycles) like a 6 Minute Walk Test.
08:09
Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
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Cited by 13 •
2015
Transcranial magnetic stimulation, electromyography, and 3D motion capture are commonly used non-invasive techniques for investigating neuromuscular function in humans. In this paper, we describe a protocol that synchronously samples data generated by all three of these tools along with the unique addition of virtual reality stimulus presentation and feedback.
07:32
Novel Apparatus and Method for Drug Reinforcement
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Cited by 9 •
2010
Operant drug self-administration and conditioned place preference (CPP) procedures are expansively used in research to model various components of drug reinforcement, consumption, and addiction in humans. In this report, we combined traditional CPP and self-administration methods as a novel approach to studying drug reinforcement and addiction in rats.
01:09
Golgi Apparatus
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2023
Properly folded and assembled proteins are selectively packaged into vesicles that exit the ER. Motor proteins transport these vesicles to the Golgi apparatus for adding modifications that make these proteins functional at their destination. The Golgi apparatus is a eukaryotic organelle that has a distinctive ribbon-like appearance. It is a primary sorting and dispatch station for cargo arriving from the ER. Newly arriving vesicles enter the cis face of the Golgi, closest to the ER, and are...
FAQs
The two sensing approaches capture movement through different physical signals. Optical systems infer marker motion from observations by multiple cameras, whereas inertial systems register changes in acceleration and orientation through motion sensors. Comparing these approaches helps researchers select measurements suited to examining body or limb behavior and its changes over time.
Software is essential because raw observations or sensor readings must be transformed into an interpretable movement record. It reconstructs movement over time and produces kinematic data, allowing researchers to quantify motor behavior rather than rely only on visual description. Those measurements support analysis of coordination, gait, and motor control.
Motion capture apparatus can reveal how movement changes when sensory or neural perturbations are introduced. Because the system provides objective measurements, researchers can compare motor behavior under altered conditions and relate behavioral changes to brain function. This makes the apparatus useful for studying the interaction between neural processes and observable movement.
A basic workflow begins by recording movement with reflective markers and multiple cameras or with motion sensors that detect acceleration and orientation. Software then reconstructs the movement over time as kinematic data. The resulting record can be examined for motor control, coordination, gait, or responses to sensory and neural perturbations.
Researchers use the equipment when they need objective measurements of motor behavior, including coordination, gait, and responses to altered sensory or neural conditions. These measurements allow movement to be characterized in healthy participants as well as individuals with neurological disorders, supporting comparisons between typical and impaired motor performance.
In neurological research, motion capture apparatus helps characterize movement impairments and evaluate rehabilitation outcomes. By quantifying changes in body or limb movement, researchers can examine whether motor behavior changes after rehabilitation and relate those behavioral findings to brain function. The same approach supports studies of both healthy participants and people with neurological disorders.