Placement Recommendations for Single Kinect-Based Motion Capture System in Unilateral Dynamic Motion Analysis

被引:16
作者
Cai, Laisi [1 ]
Liu, Dongwei [2 ]
Ma, Ye [1 ,3 ,4 ]
机构
[1] Ningbo Univ, Res Acad Grand Hlth, Fac Sports Sci, Ningbo 315211, Peoples R China
[2] Zhejiang Univ Finance & Econ, Sch Informat Management & Artificial Intelligence, Hangzhou 310018, Peoples R China
[3] Fujian Univ Tradit Chinese Med, Natl Joint Engn Res Ctr Rehabil Med Technol, Fuzhou 350122, Peoples R China
[4] Fujian Univ TCM, Minist Educ, Key Lab Orthopaed & Traumatol Tradit Chinese Med, Fuzhou 350122, Peoples R China
基金
中国国家自然科学基金;
关键词
Kinect; depth sensor; placement; dynamic movement analysis; XBOX ONE KINECT; MICROSOFT KINECT; CONCURRENT VALIDITY; OUTCOME MEASURE; RELIABILITY; LIMB; KINEMATICS; TRACKING; POSITION; SENSOR;
D O I
10.3390/healthcare9081076
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Low-cost, portable, and easy-to-use Kinect-based systems achieved great popularity in out-of-the-lab motion analysis. The placement of a Kinect sensor significantly influences the accuracy in measuring kinematic parameters for dynamics tasks. We conducted an experiment to investigate the impact of sensor placement on the accuracy of upper limb kinematics during a typical upper limb functional task, the drinking task. Using a 3D motion capture system as the golden standard, we tested twenty-one Kinect positions with three different distances and seven orientations. Upper limb joint angles, including shoulder flexion/extension, shoulder adduction/abduction, shoulder internal/external rotation, and elbow flexion/extension angles, are calculated via our developed Kinect kinematic model and the UWA kinematic model for both the Kinect-based system and the 3D motion capture system. We extracted the angles at the point of the target achieved (PTA). The mean-absolute-error (MEA) with the standard represents the Kinect-based system's performance. We conducted a two-way repeated measure ANOVA to explore the impacts of distance and orientation on the MEAs for all upper limb angles. There is a significant main effect for orientation. The main effects for distance and the interaction effects do not reach statistical significance. The post hoc test using LSD test for orientation shows that the effect of orientation is joint-dependent and plane-dependent. For a complex task (e.g., drinking), which involves body occlusions, placing a Kinect sensor right in front of a subject is not a good choice. We suggest that place a Kinect sensor at the contralateral side of a subject with the orientation around 30 degrees to 45 degrees for upper limb functional tasks. For all kinds of dynamic tasks, we put forward the following recommendations for the placement of a Kinect sensor. First, set an optimal sensor position for capture, making sure that all investigated joints are visible during the whole task. Second, sensor placement should avoid body occlusion at the maximum extension. Third, if an optimal location cannot be achieved in an out-of-the-lab environment, researchers could put the Kinect sensor at an optimal orientation by trading off the factor of distance. Last, for those need to assess functions of both limbs, the users can relocate the sensor and re-evaluate the functions of the other side once they finish evaluating functions of one side of a subject.
引用
收藏
页数:15
相关论文
共 45 条
  • [1] Additional Effects of Xbox Kinect Training on Upper Limb Function in Chronic Stroke Patients: A Randomized Control Trial
    Ain, Qurat Ul
    Khan, Sara
    Ilyas, Saad
    Yaseen, Amna
    Tariq, Iqbal
    Liu, Tian
    Wang, Jue
    [J]. HEALTHCARE, 2021, 9 (03)
  • [2] Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study
    Albert, Justin Amadeus
    Owolabi, Victor
    Gebel, Arnd
    Brahms, Clemens Markus
    Granacher, Urs
    Arnrich, Bert
    [J]. SENSORS, 2020, 20 (18) : 1 - 22
  • [3] [Anonymous], KIN WIK
  • [4] [Anonymous], 2014, INTRO SPORTS BIOMECH
  • [6] Capecci M, 2016, IEEE ENG MED BIO, P5409, DOI 10.1109/EMBC.2016.7591950
  • [7] Feasibility of Using Microsoft Kinect to Assess Upper Limb Movement in Type III Spinal Muscular Atrophy Patients
    Chen, Xing
    Siebourg-Polster, Juliane
    Wolf, Detlef
    Czech, Christian
    Bonati, Ulrike
    Fischer, Dirk
    Khwaja, Omar
    Strahm, Martin
    [J]. PLOS ONE, 2017, 12 (01):
  • [8] Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control
    Clark, Ross A.
    Pua, Yong-Hao
    Oliveira, Cristino C.
    Bower, Kelly J.
    Thilarajah, Shamala
    McGaw, Rebekah
    Hasanki, Ksaniel
    Mentiplay, Benjamin F.
    [J]. GAIT & POSTURE, 2015, 42 (02) : 210 - 213
  • [9] Validity of the Microsoft Kinect for providing lateral trunk lean feedback during gait retraining
    Clark, Ross A.
    Pua, Yong-Hao
    Bryant, Adam L.
    Hunt, Michael A.
    [J]. GAIT & POSTURE, 2013, 38 (04) : 1064 - 1066
  • [10] Validity of the Microsoft Kinect for assessment of postural control
    Clark, Ross A.
    Pua, Yong-Hao
    Fortin, Karine
    Ritchie, Callan
    Webster, Kate E.
    Denehy, Linda
    Bryant, Adam L.
    [J]. GAIT & POSTURE, 2012, 36 (03) : 372 - 377