Comparison of the Performance of the Leap Motion ControllerTM with a Standard Marker-Based Motion Capture System

被引:12
|
作者
Ganguly, Amartya [1 ]
Rashidi, Gabriel [1 ]
Mombaur, Katja [2 ]
机构
[1] Heidelberg Univ, Inst Comp Engn, Optimizat Robot & Biomech, D-69120 Heidelberg, Germany
[2] Univ Waterloo, Canada Excellence Chair Human Ctr Robot & Machine, Waterloo, ON N2L 3G1, Canada
关键词
Leap Motion Controller™ motion capture; finger kinematics; Bland– Altman analysis;
D O I
10.3390/s21051750
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Over the last few years, the Leap Motion Controller (TM) (LMC) has been increasingly used in clinical environments to track hand, wrist and forearm positions as an alternative to the gold-standard motion capture systems. Since the LMC is marker-less, portable, easy-to-use and low-cost, it is rapidly being adopted in healthcare services. This paper demonstrates the comparison of finger kinematic data between the LMC and a gold-standard marker-based motion capture system, Qualisys Track Manager (QTM). Both systems were time synchronised, and the participants performed abduction/adduction of the thumb and flexion/extension movements of all fingers. The LMC and QTM were compared in both static measuring finger segment lengths and dynamic flexion movements of all fingers. A Bland-Altman plot was used to demonstrate the performance of the LMC versus QTM with Pearson's correlation (r) to demonstrate trends in the data. Only the proximal interphalangeal joint (PIP) joint of the middle and ring finger during flexion/extension demonstrated acceptable agreement (r = 0.9062; r = 0.8978), but with a high mean bias. In conclusion, the study shows that currently, the LMC is not suitable to replace gold-standard motion capture systems in clinical settings. Further studies should be conducted to validate the performance of the LMC as it is updated and upgraded.
引用
收藏
页码:1 / 16
页数:15
相关论文
共 50 条
  • [1] Comparison of marker-less and marker-based motion capture for baseball pitching kinematics
    Fleisig, Glenn S.
    Slowik, Jonathan S.
    Wassom, Derek
    Yanagita, Yuki
    Bishop, Jasper
    Diffendaffer, Alek
    SPORTS BIOMECHANICS, 2024, 23 (12) : 2950 - 2959
  • [2] Marker-Based Human Motion Capture in Multiview Sequences
    Cristian Canton-Ferrer
    Josep R. Casas
    Montse Pardàs
    EURASIP Journal on Advances in Signal Processing, 2010
  • [3] Marker-Based Human Motion Capture in Multiview Sequences
    Canton-Ferrer, Cristian
    Casas, Josep R.
    Pardas, Montse
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2010,
  • [4] Efficacy of Marker-Based Motion Capture for Respiratory Cycle Measurement: A Comparison with Spirometry
    Shamantseva, Natalia D.
    Klishkovskaia, Tatiana A.
    Ananyev, Sergey S.
    Aksenov, Andrey Y.
    Moshonkina, Tatiana R.
    SENSORS, 2023, 23 (24)
  • [5] Are Wearable Sensors Valid and Reliable for Studying the Baseball Pitching Motion? An Independent Comparison With Marker-Based Motion Capture
    Camp, Christopher L.
    Loushin, Stacy
    Nezlek, Stuart
    Fiegen, Anthony P.
    Christoffer, Dan
    Kaufman, Kenton
    AMERICAN JOURNAL OF SPORTS MEDICINE, 2021, 49 (11): : 3094 - 3101
  • [6] DeMoCap: Low-Cost Marker-Based Motion Capture
    Chatzitofis, Anargyros
    Zarpalas, Dimitrios
    Daras, Petros
    Kollias, Stefanos
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 129 (12) : 3338 - 3366
  • [7] DeMoCap: Low-Cost Marker-Based Motion Capture
    Anargyros Chatzitofis
    Dimitrios Zarpalas
    Petros Daras
    Stefanos Kollias
    International Journal of Computer Vision, 2021, 129 : 3338 - 3366
  • [8] Comparison Of Marker-based And Markerless Motion Capture During Single And Double Leg Jumping
    Mullen, Kevin J.
    Taylor, Jeffrey B.
    Westbrook, Audrey E.
    Pexa, Brett S.
    Ford, Kevin R.
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2022, 54 (09) : 293 - 294
  • [9] Validation of pitchAI™ markerless motion capture using marker-based 3D motion capture
    Dobos, Tyler J.
    Bench, Ryan W. G.
    McKinnon, Colin D.
    Brady, Anthony
    Boddy, Kyle J.
    Holmes, Michael W. R.
    Sonne, Michael W. L.
    SPORTS BIOMECHANICS, 2022,
  • [10] Comparison of marker-based and marker-less systems for low-cost human motion capture
    Puthenveetil, Sajeev C.
    Daphalapurkar, Chinmay P.
    Zhu, Wenjuan
    Leu, Ming C.
    Liu, Xiaoqing F.
    Chang, Alpha M.
    Gilpin-Mcminn, Julie K.
    Wu, Peter H.
    Snodgrass, Scott D.
    Proceedings of the ASME Design Engineering Technical Conference, 2013, 2 B