Validation of the Leap Motion Controller using markered motion capture technology

Abstract The Leap Motion Controller (LMC) is a low-cost, markerless motion capture device that tracks hand, wrist and forearm position. Integration of this technology into healthcare applications has begun to occur rapidly, making validation of the LMC's data output an important research goal....

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Bibliographic Details
Published in:Journal of biomechanics 2016-06, Vol.49 (9), p.1742-1750
Main Authors: Smeragliuolo, Anna H, Hill, N Jeremy, Disla, Luis, Putrino, David
Format: Article
Language:English
Subjects:
Accuracy
Adult
Algorithms
Biomechanical Phenomena
Calibration
Compliance
Controllers
Deviation
Devices
Female
Forearm
Forearm - physiology
Humans
Kinematics
Leap motion
Male
Middle Aged
Motion capture
Motion perception
Motor recovery
Movement - physiology
Movements
Physical Medicine and Rehabilitation
Physical therapy
Pronation
Radius - physiology
Rehabilitation
Software upgrading
Standard deviation
Studies
Supination
Telemedicine
Telemedicine - instrumentation
Tracking
Ulna - physiology
Wrist
Wrist - physiology
Wrist Joint - physiology
Young Adult
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Summary:Abstract The Leap Motion Controller (LMC) is a low-cost, markerless motion capture device that tracks hand, wrist and forearm position. Integration of this technology into healthcare applications has begun to occur rapidly, making validation of the LMC's data output an important research goal. Here, we perform a detailed evaluation of the kinematic data output from the LMC, and validate this output against gold-standard, markered motion capture technology. We instructed subjects to perform three clinically-relevant wrist (flexion/extension, radial/ulnar deviation) and forearm (pronation/supination) movements. The movements were simultaneously tracked using both the LMC and a marker-based motion capture system from Motion Analysis Corporation (MAC). Adjusting for known inconsistencies in the LMC sampling frequency, we compared simultaneously acquired LMC and MAC data by performing Pearson's correlation (r) and root mean square error (RMSE). Wrist flexion/extension and radial/ulnar deviation showed good overall agreement (r=0.95; RMSE=11.6°, and r=0.92; RMSE=12.4°, respectively) with the MAC system. However, when tracking forearm pronation/supination, there were serious inconsistencies in reported joint angles (r=0.79; RMSE=38.4°). Hand posture significantly influenced the quality of wrist deviation (p
ISSN:0021-9290
1873-2380
DOI:10.1016/j.jbiomech.2016.04.006