Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone

被引:7
作者
Aderinola, Timilehin B. [1 ]
Younesian, Hananeh [1 ]
Whelan, Darragh [2 ]
Caulfield, Brian [1 ]
Ifrim, Georgiana [1 ]
机构
[1] Univ Coll Dublin, Insight SFI Ctr Data Analyt, Dublin D04 V1W8, Ireland
[2] Univ Coll Dublin, Output Sports, NovaUCD, Dublin D04 V1W8, Ireland
来源
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY | 2023年 / 4卷
基金
爱尔兰科学基金会;
关键词
Countermovement jump; markerless motion capture; optical motion capture; jump height;
D O I
10.1109/OJEMB.2023.3280127
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The countermovement jump (CMJ) is commonly used to measure lower-body explosive power. This study evaluates how accurately markerless motion capture (MMC) with a single smartphone can measure bilateral and unilateral CMJ jump height. Methods: First, three repetitions each of bilateral and unilateral CMJ were performed by sixteen healthy adults (mean age: 30.87 +/- 7.24 years; mean BMI: 23.14 +/- 2.55 kg/m(2)) on force plates and simultaneously captured using optical motion capture (OMC) and one smartphone camera. Next, MMC was performed on the smartphone videos using OpenPose. Then, we evaluated MMC in quantifying jump height using the force plate and OMC as ground truths. Results: MMC quantifies jump heights with ICC between 0.84 and 0.99 without manual segmentation and camera calibration. Conclusions: Our results suggest that using a single smartphone for markerless motion capture is promising.
引用
收藏
页码:109 / 115
页数:7
相关论文
共 26 条
[1]  
Aderinola TB, 2024, Arxiv, DOI arXiv:2210.00294
[2]   Gravity as a Reference for Estimating a Person's Height from Video [J].
Bieler, Didier ;
Gunel, Semih ;
Fua, Pascal ;
Rhodin, Helge .
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, :8568-8576
[3]   STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1986, 1 (8476) :307-310
[4]   Validity, Reliability, and Usefulness of My Jump 2 App for Measuring Vertical Jump in Primary School Children [J].
Bogataj, Spela ;
Pajek, Maja ;
Hadzic, Vedran ;
Andrasic, Slobodan ;
Padulo, Johnny ;
Trajkovic, Nebojsa .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (10)
[5]   OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields [J].
Cao, Zhe ;
Hidalgo, Gines ;
Simon, Tomas ;
Wei, Shih-En ;
Sheikh, Yaser .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (01) :172-186
[6]   Defining the Minimal Clinically Important Difference in Athletes Undergoing Arthroscopic Correction of Sports-Related Femoroacetabular Impingement: The Percentage of Possible Improvement [J].
Carton, Patrick ;
Filan, David .
ORTHOPAEDIC JOURNAL OF SPORTS MEDICINE, 2020, 8 (01)
[7]   A markerless motion capture system to study musculoskeletal biomechanics:: Visual hull and simulated annealing approach [J].
Corazza, S. ;
Mundermann, L. ;
Chaudhari, A. M. ;
Demattio, T. ;
Cobelli, C. ;
Andriacchi, T. P. .
ANNALS OF BIOMEDICAL ENGINEERING, 2006, 34 (06) :1019-1029
[8]   Markerless 2D kinematic analysis of underwater running: A deep learning approach [J].
Cronin, Neil J. ;
Rantalainen, Timo ;
Ahtiainen, Juha P. ;
Hynynen, Esa ;
Waller, Ben .
JOURNAL OF BIOMECHANICS, 2019, 87 :75-82
[9]   Moving outside the lab: Markerless motion capture accurately quantifies sagittal plane kinematics during the vertical jump [J].
Drazan, John F. ;
Phillips, William T. ;
Seethapathi, Nidhi ;
Hullfish, Todd J. ;
Baxter, Josh R. .
JOURNAL OF BIOMECHANICS, 2021, 125
[10]   RMPE: Regional Multi-Person Pose Estimation [J].
Fang, Hao-Shu ;
Xie, Shuqin ;
Tai, Yu-Wing ;
Lu, Cewu .
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, :2353-2362