A Kinect-based movement assessment system: marker position comparison to Vicon

Nichols, Julia K.; Sena, Mark P.; Hu, Jennifer L.; O’Reilly, Oliver M.; Lotz, Jeffrey C.

doi:10.1080/10255842.2017.1340464

Cited by 15 publications

(7 citation statements)

References 15 publications

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“…step length, step width and step time) and argued that even subtle changes in gait, such as those associated with preclinical cerebellar ataxia, may be detectable by the Kinect v. 2 sensors. However, in another study comparing Kinect and Vicon systems, a customized set-up employing retro-reflective markers instead of standard skeleton tracking was suggested to be necessary for clinically relevant accuracy of kinematic evaluation [ 29 ]. Other studies have looked specifically at the spatial accuracy of Kinect systems.…”

Section: Introductionmentioning

confidence: 99%

Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions

et al. 2020

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Interpersonal coordination of behaviour is essential for smooth social interactions. Measures of interpersonal behaviour, however, often rely on subjective evaluations, invasive measurement techniques or gross measures of motion. Here, we constructed an unobtrusive motion tracking system that enables detailed analysis of behaviour at the individual and interpersonal levels, which we validated using wearable sensors. We evaluate dyadic measures of joint orienting and distancing, synchrony and gaze behaviours to summarize data collected during natural conversation and joint action tasks. Our results demonstrate that patterns of proxemic behaviours, rather than more widely used measures of interpersonal synchrony, best predicted the subjective quality of the interactions. Increased distance between participants predicted lower enjoyment, while increased joint orienting towards each other during cooperation correlated with increased effort reported by the participants. Importantly, the interpersonal distance was most informative of the quality of interaction when task demands and experimental control were minimal. These results suggest that interpersonal measures of behaviour gathered during minimally constrained social interactions are particularly sensitive for the subjective quality of social interactions and may be useful for interaction-based phenotyping for further studies.

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Section: Introductionmentioning

confidence: 99%

Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions

et al. 2020

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“…This can lead to errors at the ankle, knee, and hip which complicate the use of depth sensors for later analysis [15]. Researchers have found that retro-reflective markers could be used to supplement the recovery process [16]. The addition of these markers adds to the experiment setup time, and sensitivity to the accuracy of marker placement.…”

Section: Introductionmentioning

confidence: 99%

Kinematic and Kinetic Validation of an Improved Depth Camera Motion Assessment System Using Rigid Bodies

Matthew

Seko

Bajcsy

et al. 2019

IEEE J. Biomed. Health Inform.

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The study of joint kinematics and dynamics has broad clinical applications including the identification of pathological motions or compensation strategies and the analysis of dynamic stability. High-end motion capture systems, however, are expensive and require dedicated camera spaces with lengthy setup and data processing commitments. Depth cameras, such as the Microsoft Kinect, provide an inexpensive, marker-free alternative at the sacrifice of joint-position accuracy. In this work, we present a fast framework for adding biomechanical constraints to the joint estimates provided by a depth camera system. We also present a new model for the lower lumbar joint angle. We validate key joint position, angle, and velocity measurements against a gold standard active motion-capture system on ten healthy subjects performing sit-to-stand (STS). Our method showed significant improvement in Mean Absolute Error and Intraclass Correlation Coefficients for the recovered joint angles and position-based metrics. These improvements suggest that depth cameras can provide an accurate and clinically viable method of rapidly assessing the kinematics and kinetics of the STS action, providing data for further analysis using biomechanical or machine learning methods.

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“…The Vicon system (Oxford Metrics, U.K.) is a marker-based optoelectronic motion capture tool that is widely used for kinematic measurements [29]. Indeed, with a similar setting to ours, the error of the Vicon is 0.15 mm ± 0.025 mm in static and remains less than 2 mm in dynamic [30].…”

Section: Vicon Sensormentioning

confidence: 62%

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Faity¹,

Mottet²,

Froger³

2022

Preprint

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Background: Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the assessment of 17 kinematic variables commonly used in the analysis of upper limb reaching in stroke. Methods: 26 healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce a behaviour similar to that of a person with a stroke. 3D upper limb and trunk motion were simultaneously recorded with the Kinect v2 (Microsoft, USA) and with the VICON (OxfordMetrics, UK), the latter being the reference system. For each kinematic outcome, the validity of the Kinect was assessed with ICC, linear regression and Bland & Altman plots. Results: The Kinect assesses trunk compensations, hand range of motion, movement time and mean velocity with a moderate to excellent reliability. In contrast, elbow and shoulder range of motion, time to peak velocity and path length ratio have a poor to moderate reliability, indicating that these variables should be interpreted with caution. Finally, instantaneous hand and elbow tracking are not precise enough to reliably assess Cartesian and angular kinematics over time, rendering variables such as the number of velocity peaks and the peak hand velocity unusable. Conclusions: Thanks to its ease of use and markerless properties, the Kinect can be used in clinical routine for semi-automated quantitative diagnostics guiding individualised rehabilitation of the upper limb. However, engineers and therapists must bear in mind the limitations of the Kinect for the instantaneous tracking of the hand and elbow.

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A Kinect-based movement assessment system: marker position comparison to Vicon

Cited by 15 publications

References 15 publications

Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions

Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions

Kinematic and Kinetic Validation of an Improved Depth Camera Motion Assessment System Using Rigid Bodies

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

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