Article
Orthopedics
Jason Corban, Nicolaos Karatzas, Kevin Y. Zhao, Athanasios Babouras, Stephane Bergeron, Thomas Fevens, Hassan Rivaz, Paul A. Martineau
Summary: A prospective study was conducted to investigate the predictors of noncontact ACL injury in collegiate athletes using an affordable motion capture system (Kinect). The results showed that athletes who sustained noncontact ACL injury had larger initial and peak contact coronal abduction angles and smaller peak flexion angles at the knee during a DVJ.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2023)
Article
Multidisciplinary Sciences
Pin-Ling Liu, Chien-Chi Chang, Jia-Hua Lin, Yoshiyuki Kobayashi
Summary: This study proposed a benchmarking method to evaluate the accuracy of depth cameras for full-body landmark location estimation in ergonomics applications. By comparing the tracking errors of two different DCMTSs and MMTSs, it was found that the proposed method can effectively assess the performance of DCMTSs. High reliability was achieved with intraclass correlation coefficients of 0.97 and 0.92 for the Kinect system and RealSense system, respectively.
Article
Chemistry, Analytical
Raynier Montoro-Bombu, Lazaro de la Paz Arencibia, Carlo Buzzichelli, Paulo Miranda-Oliveira, Orlando Fernandes, Amandio Santos, Luis Rama
Summary: This study aimed to verify the validity of the PB2.0 device for RSI measurement. The results showed that PB2.0 provided similar results to the reference devices FP and OPT, indicating reliability, but had a low determination coefficient.
Article
Sport Sciences
Samuel Montalvo, Matthew P. Gonzalez, Martin S. Dietze-Hermosa, Jeffrey D. Eggleston, Sandor Dorgo
Summary: This study evaluated the validity and reliability of different vertical jump measuring devices, with mobile applications MyJump2 and What'sMyVert showing excellent validity and relative reliability. However, Optojump and Push-Band 2.0 devices exhibited system and proportional bias in certain aspects. Overall, the mobile applications may offer coaches a cost-effective and trustworthy way to measure various vertical jumps.
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2021)
Article
Orthopedics
Yu Nakahira, Shuji Taketomi, Kohei Kawaguchi, Yuri Mizutani, Masato Hasegawa, Chie Ito, Emiko Uchiyama, Yosuke Ikegami, Sayaka Fujiwara, Ko Yamamoto, Yoshihiko Nakamura, Sakae Tanaka, Toru Ogata
Summary: This study investigated the kinematic differences between the dominant and nondominant legs of female soccer players during a single-leg drop vertical jump. The findings suggest that there is a difference in knee valgus angle between the two legs.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2022)
Article
Chemistry, Analytical
Serena Cerfoglio, Manuela Galli, Marco Tarabini, Filippo Bertozzi, Chiarella Sforza, Matteo Zago
Summary: Utilizing wearable inertial-based systems and machine learning methods, a neural network-based approach was developed to estimate Ground Reaction Forces and knee joint moments during a Vertical Drop Jump. Despite some limitations, the method showed promise in accurately estimating joint kinetics.
Article
Biophysics
Justin D. Dennis, Kevin H. Choe, Melissa M. Montgomery, Scott K. Lynn, Brock M. Crews, Derek N. Pamukoff
Summary: Frontal and sagittal plane landing biomechanics differ between sexes, with females exhibiting less isolated thigh abduction, more in-phase motion, and more isolated shank adduction in the frontal plane compared to males. Moreover, females display less in-phase and more anti-phase motion between the thigh and shank in the sagittal plane as well as less isolated knee flexion and more anti-phase motion between sagittal and frontal plane knee coupling compared to males.
JOURNAL OF BIOMECHANICS
(2023)
Article
Multidisciplinary Sciences
Masataka Yamamoto, Koji Shimatani, Yuto Ishige, Hiroshi Takemura
Summary: This study investigated the capability of a markerless gait analysis method to measure ankle joint kinematics under various gait conditions using OpenPose and an IMU sensor. The proposed method significantly decreased the measurement errors of ankle joint angles, indicating its potential as a clinical gait assessment tool.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Yanhong Zhou
Summary: This paper explores human body gesture recognition technology, combining Kinect technology with auxiliary gymnastics training to correct students' errors in movements through feedback and improve training efficiency; it presents joint angle representation method and joint point repair algorithm, achieving good results in the field of human body posture recognition.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Sport Sciences
Subir Gupta, Jakub Baron, Anna Bieniec, Andrzej Swinarew, Arkadiusz Stanula
Summary: The aim of this study was to determine the relationships between vertical jumps (VJ) and various on-ice skating performances of junior ice hockey players (n = 19). DDJ showed significant positive correlations with forward and backward skating speed, while SJ showed strong correlations with backward and maximum skating speed. CMJ was only significantly correlated with backward skating speed. All three VJ modes were inversely and non-significantly correlated with performance decrement index and fatigue index of the RSA test. SMAT did not show significant correlations with VJ or RSA. Therefore, the study concludes that DDJ can predict all ice skating speed tests, SJ can predict backward and maximum speed, and CMJ can predict backward skating speed. RSA performance cannot be predicted by VJ tests, and VJ or RSA cannot predict skating endurance of junior ice hockey players.
Article
Computer Science, Interdisciplinary Applications
Mauro Antico, Nicoletta Balletti, Gennaro Laudato, Aldo Lazich, Marco Notarantonio, Rocco Oliveto, Stefano Ricciardi, Simone Scalabrino, Jonathan Simeone
Summary: The Azure Kinect DK shows high potential for accurate postural control assessment, especially for implementation in home rehabilitation systems.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Agriculture, Dairy & Animal Science
Severiano R. Silva, Mariana Almeida, Isabella Condotta, Andre Arantes, Cristina Guedes, Virginia Santos
Summary: This study aimed to evaluate the accuracy of leg volume obtained using the Microsoft Kinect sensor to predict the composition of light lamb carcasses. The results showed a strong correlation between leg volume and cuts, particularly for medium value and leg cuts. The models including leg volume obtained with the Kinect 3D sensor demonstrated good predictive abilities for carcass traits of light lamb carcasses.
Article
Orthopedics
Kengo Harato, Yutaro Morishige, Shu Kobayashi, Yasuo Niki, Takeo Nagura
Summary: This study aimed to compare the biomechanical features of female athletes performing drop vertical jump (DVJ) in different sporting activities. The results showed that basketball and volleyball players have a higher risk of non-contact ACL injury during the jump-landing task, while soccer players demonstrate biomechanical advantages.
BMC MUSCULOSKELETAL DISORDERS
(2022)
Article
Engineering, Electrical & Electronic
Meihua Xiao, Hanxiao Yi, Ying Huang, Guoliang Luo, Qian Xiao
Summary: In this work, a highly efficient 3D face point cloud optimization method based on Kinect is proposed, which improves the reconstruction quality by delicately applying diverse optimization strategies. Extensive experiments demonstrate that our approach outperforms traditional methods in terms of accuracy.
JOURNAL OF SENSORS
(2022)
Article
Engineering, Biomedical
David R. Bakal, Jeffery J. Morgan, Samuel M. Lyons, Salinda K. Chan, Emily A. Kraus, Kevin G. Shea
Summary: This study assessed ground reaction forces during a drop vertical jump in adolescents post-ACL reconstruction and compared kinetic symmetry between them and healthy controls. The findings showed significant asymmetry in the ACL reconstruction group for various kinetic variables, suggesting the use of compensatory strategies to reduce loading on the post-operative limb.
CLINICAL BIOMECHANICS
(2022)