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Advancing Sport Biomechanics with Depth Cameras: Systematic Review of Current Applications and Future Directions Cover

Advancing Sport Biomechanics with Depth Cameras: Systematic Review of Current Applications and Future Directions

Open Access
|Jun 2025

Figures & Tables

Figure 1.

Flowchart of study selection process based on the PRISMA
Flowchart of study selection process based on the PRISMA

Figure 2.

The past and the future of the depth cameras
The past and the future of the depth cameras

Key and related search terms used as the search strategy

Key Search TermsRelated Search Terms
depth camera technologydepth camera$ OR 3D camera$ OR depth sensor$ OR time-of-flight camera$ OR range camera$ OR stereo camera$ OR structured light camera$ OR depth-sensing camera$ OR RGB-D camera$ OR infrared camera$
AND
biomechanics in sportsport$ biomechanics OR biomechanics of sport OR exercise$ biomechanics OR physical activity* analysis OR sport movement$ analysis OR sport$ motion analysis OR athletic performance$ analysis
OR
motion capturemotion capture OR motion tracking OR movement$ capture OR kinematic$ tracking OR kinematic$ analysis OR motion$ analysis OR motion sensing OR movement$ tracking
OR
application in sportapplication$ in sport OR sports technology application$ OR practical use in sport$ OR implementation$ in athletics OR sports-related application$ OR applied sports science OR practical application in sport$ OR integration in athletic training OR “sport-specific application”

Summary of the studies

StudyYear PublishedPurposeSportDepth CameraWhat Was MeasuredApplicationCOSMIN Grade
An et al., 20172017To obtain a numerical estimate of the feasibility of a dual depth camera systemRunningTwo Microsoft Kinect sensorsThe left hip and knee analysis included motion (flexion, extension), velocity, acceleration, angular velocity, linear and angular kinematics (displacement), and the centre of mass (COM).The dual Kinect system allows better tracking of an athlete’s movements due to a better viewing angle.I
Babayan et al., 20152015To introduce an innovative, cost-effective apparatus utilising electronic and electrical components for simulated swimming exercisesSwimmingMicrosoft KinectThe skeletal stream was captured from the depth sensor. The data were used to obtain the X, Y, and Z position coordinates of the joint data points.Users could improve their swimming abilities and get exercise with this system.I
Bittar et al., 20172017To develop an augmented basketball hoop by integrating sensors, actuators, and computersBasketballMicrosoft KinectKnee flexion, spine tilt during free throws. Detection of throws. The overall score of throws was calculated with the help of Arduino.Quality assessment of the free throws with real-time feedbackD
Chang et al., 20222022To improve Kinect data quality using deep neural networks and achieve precise motion captureSwimmingMicrosoft KinectThe swimming postures were tracked and detected. The deep-intercepted images were processed to capture postures and movements effectively and to obtain improved outcomes.Recognising and fixing the bad postures of swimmers in real-time, enhancing training, and assisting coaches during trainingI
Cunha et al., 20212021To showcase research aimed at designing and implementing a user-friendly, cheap system for real-time performance assessmentTaekwondo3D Orbbec Astra CameraThe taekwondo movements of the athlete were measured and collected.Feedback could refine or enhance an athlete’s techniques, leading to improved performance in less time. Advancing training methods and technological progress during practiceD
Cunha et al., 20232023To create a user-friendly, low-cost system and design a technology tool to assess taekwondo athletes’ performance in real timeTaekwondo3D Orbbec Astra CameraTaekwondo-specific movements like Ap Tachagui, Miro Tachagui, and Jirugui were measured.Evaluating athlete performance through movement analysis during practiceD
Emad et al., 20202020To evaluate and improve seven movements of Karate Kata 1 (Heian Shodan)KarateMicrosoft Kinect sensorSeven movements from Heian Shodan were recorded (perfect trials and with typical mistakes).Detection and evaluation of 7 movements in karate kata. In future work, deep learning methods could be used to achieve better results.I
Hwang et al., 20212021To replicate actual motion by gathering subject motion dataGolfMicrosoft Kinect sensorMeasuring and entering data about human bodies to create a human body model that reflected individual body characteristicsA system that uses data from 15 inertial sensors and data from a depth camera to create a motion identical to the real oneI
Kaharuddin et al., 20172017To perform a biomechanics analysis on multiple people executing the ‘Jurus Satu’ manoeuvre using the Kinect deviceSilat (combat sport)Kinect sensorIdentification of twenty bodily joints and data extraction during the execution of ‘Juru Satu’ by experienced and inexperienced athletes.Use of a motion capture system to learn a relatively unknown movement and to provide data on joint kinematic parametersI
Malawski, 20202020To identify lunge actions (footwork training in fencing) and then extract the qualitative characteristics of those actionsFencingMicrosoft Kinect sensor, Two Point GreyReal-time analysis of footwork in fencing was considered. Fencers stood and moved sideways with their hand facing their opponent.Tracking lunges in continuous training (hand timing, duration, and acceleration) and providing real-time feedbackI
Nam et al., 20132013To demonstrate the feasibility of golf swing motion tracking using two depth sensorsGolfFMVU-03MTM-CS camerasTracking the movement of the golf clubThe system enables the analysis of golf shots using inertial sensors and visual data from a depth camera.D
Pandurevic et al., 20192019To assess movements in sport climbing, understanding technique and performance. This could potentially result in training injury prevention.Sport climbingIntel RealSense D435Registration and analysis of motion patterns. The possibility to automatically determine joint anglesThe data from force sensors and motion capture systems will allow the improvement of technique, performance, and injury prevention.I
Reily et al., 20172017To employ the Microsoft Kinect 2 for the automated evaluation of men’s gymnastics performance on the pommel horse and to validate its efficacy as a training tool for gymnastics coachesGymnasticsMicrosoft Kinect 2The gymnasts’ position and movements during routines were tracked. Analysis of the spin time consistency and an evaluation of the body angle consistencyAutomatic performance assessment in men’s pommel horse gymnastics has been confirmed as an effective coaching tool.I
Sri-Iesaranusorn et al., 20212021To determine the factor that will help novice players improve their strokes (differences in consistency of strokes between players at various skill levels)Table tennisInfrared (IR) depth sensorThe participants executed ten strokes from each side (forehand and backhand). Three joints (the wrist, the elbow, the shoulder) and the racket centre were monitored by the depth camera.Video tracking and accelerometers are used to evaluate stroke consistency in table tennis, (monitoring and enhancing beginner’s skills by comparing them to standard players).I

Summary of COSMIN quality of evidence scoring consensus

ParameterQuality Rating1Quality of Evidence2
Rater 1Rater 2Cons.*Rater 1Rater 2Cons.*
Structural validity N N
Internal consistency N N
Cross-cultural validity N N
Measurement invariance N N
Reliability+++ModerateLowLow
Measurement error+++ModerateModerateModerate
Criterion validity?++Very LowVery LowVery Low
Construct validity+++ModerateLowModerate
Responsiveness+?+ModerateModerateModerate
Language: English
Page range: 148 - 169
Published on: Jun 30, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Konrad Maciejewski, Francisco Martins, Diogo Martinho, Maciej Śliż, Hugo Sarmento, Élvio Rúbio Gouveia, Krzysztof Przednowek, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.