OrthoTennis
Evidence-centred tennis capture, synchronized video review, player cases, motion analysis and transparent measurement reports.
OrthoTennis turns live or imported tennis video into a persistent player-case workflow. Record a session or import a selected movie from Photos or Files, review it forward or backward, step frame by frame, jump to candidate events, and inspect synchronized skeleton, ball, phase, motion, stereo and arithmetic measurements.
KEY CAPABILITIES
• Player-centred cases with retained videos, notes and dated measurements.
• Photos, Files and iCloud movie import into private app-managed storage.
• Live or imported Apple Vision Skeleton and optional MediaPipe pose recognition.
• Tennis-ball tracking, event candidates, Kalman smoothing and motion analysis.
• Play, pause, reverse, stop/rewind, frame step, ±5 seconds, timeline seek and 0.25×–2× review.
• Complete measurement reports with TXT, CSV and JSON export.
• One-camera technique proxies and calibrated stereo evidence when valid geometry is available.
• Reliable conventional rear-camera baseline with optional supported calibrated built-in stereo.
• Encrypted derived-observation broadcasting to the Vision products.
OrthoTennis is a sports-performance documentation and coaching-support tool. It does not provide medical diagnosis, injury-risk prediction, treatment recommendations, return-to-play clearance, official line calling, or laboratory force/kinetic measurements. Automatic pose, ball, event, phase and triangulation outputs must be reviewed with the source video and capture-quality evidence.
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OrthoTenis turns a compatible Android phone or tablet into a structured tennis-performance workstation for players, coaches, academies and teams.
Record live or import existing video. The app tracks a 33-point player skeleton and a visible fluorescent tennis ball on the device, then organises results by player, team, stroke, camera view and session.
Evaluate flat, slice and kick serves; forehand and one- or two-handed backhands; returns; volleys; overheads; rallies; footwork; court coverage; and match points. Review candidate contact, bounce, toss-apex, split-step and stroke-phase events directly with the source recording.
With four-corner court calibration, OrthoTenis can report court-plane movement distance, speed, acceleration, braking, lateral/depth range, change-of-direction demand and contact-position spread. Technique outputs include shoulder–pelvis separation, knee/elbow/shoulder configuration, stance width, trunk lean, contact-height and racquet-hand speed proxies.
Every result is labelled as direct, calibrated, proxy or quality so you can see what the camera truly supports. Build repeatable player baselines, compare sessions over time, analyse a squad, export reports and reprocess retained video with adjusted tracking settings.
Processing is on-device. Tennis media is not automatically uploaded. The app is not a medical device, does not diagnose injury, and does not provide electronic line calling. Force, torque, ball spin, racquet-face angle and true radar/3D ball speed are not claimed from ordinary monocular video. Automated events must be checked against the source video.
Website: https://www.orthopractis.com
Support: https://www.orthopractis.com/orthotenis
Privacy: https://www.orthopractis.com/privacy
Terms: https://www.orthopractis.com/terms-of-use
Email: info@orthopractis.com
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FOR PLAYERS
Revisit the exact source frame behind a timing, position or motion value. Compare several standardized attempts rather than relying on memory or one “best” clip.
FOR COACHES
Organize evidence by athlete and protocol; review event candidates; connect a cue to visible change; keep notes, video and arithmetic evidence together.
FOR CLUBS AND TEAMS
Maintain a consistent local player-case workflow without requiring a developer-operated account or automatic cloud upload.
FOR RESEARCH AND EDUCATION
Export transparent measurement identifiers, units, classes, definitions, limitations and literature context.
Spatial tennis review on Apple Vision Pro without Enterprise Main Camera Access.
WHAT YOU NEED
• OrthoTennis on a compatible iPhone or iPad for live capture, or a supported movie on Vision Pro.
• OrthoTennis Vision Standard on Apple Vision Pro.
• Wi-Fi/Bluetooth nearby connectivity and Local Network permission for paired operation.
SETUP
1. Open Capture on iPhone/iPad and Vision Standard.
2. Select the athlete, stroke and camera view on the companion.
3. Open the rear camera and confirm full-body/ball evidence.
4. On Vision Standard choose Paired iPhone/iPad and wait for the peer and round-trip status.
5. Use the companion display for framing and the Vision display for spatial evidence.
6. Open the mixed immersive mirror or review a retained case video.
WHAT IS TRANSFERRED
Derived skeleton joints, confidence, body regions, ball observation, calibrated stereo results when available, status and optional marker metadata.
WHAT IS NOT TRANSFERRED
Raw paired-camera pixels and recorded evidence movies.
LOCAL ALTERNATIVE
Import a selected movie from Photos, Files or iCloud Drive directly on Vision Pro. The app copies it into private player-case storage and analyzes it locally.
OrthoTennis Vision Enterprise is intended for approved organizations with matching Main
Access authorization and enterprise licensing.
CAPABILITIES
• Approved direct left/right camera capture.
• Independent previews and stereo health checks.
• Apple Vision and optional bundled MediaPipe recovery.
• Stereo player/ball reconstruction, marker alignment and evidence recording.
• Mixed immersive review and complete measurement/export workflow.
BOUNDED RECOVERY
Requested stereo → lower-resolution direct routes → encrypted paired iPhone/iPad observations.
IMPORTANT
The Enterprise build must use the exact approved App ID, provisioning and license. These claims do not apply to Vision Standard.
[1] Elliott B. Biomechanics and tennis. British Journal of Sports Medicine. 2006;40(5):392-396. DOI: 10.1136/bjsm.2005.023150. Role in OrthoTennis: General kinetic-chain, stroke-production and injury-context framework. Used to select segment-orientation and sequencing variables; it does not validate OrthoTennis outputs. Source
[2] Kovacs MS, Ellenbecker TS. An 8-stage model for evaluating the tennis serve: implications for performance enhancement and injury prevention. Sports Health. 2011;3(6):504-513. DOI: 10.1177/1941738111414175. Role in OrthoTennis: Guides serve workflow labels and the need to inspect loading, acceleration, contact, deceleration and recovery. OrthoTennis uses heuristic video phases rather than claiming exact laboratory replication of the model. Source
[3] Lambrich J, Muehlbauer T. Biomechanical analyses of different serve and groundstroke techniques in tennis: a systematic scoping review. PLOS ONE. 2023;18(8):e0290320. DOI: 10.1371/journal.pone.0290320. Role in OrthoTennis: Supports protocol stratification by stroke type, direction, stance, age, sex and performance level and reinforces that equipment and outcome definitions vary across studies. Source
[4] Landlinger J, Lindinger SJ, Stöggl T, Wagner H, Müller E. Key factors and timing patterns in the tennis forehand of different skill levels. Journal of Sports Science & Medicine. 2010;9(4):643-651. Role in OrthoTennis: Supports forehand timing, pelvis/trunk rotation and impact-centred comparison. The study used 400-Hz 3D motion capture and racquet markers, so OrthoTennis labels monocular equivalents as proxies. Source
[5] Filipčič A, Leskošek B, Munivrana G, Ochiană G, Filipčič T. Differences in movement speed before and after a split-step between professional and junior tennis players. Journal of Human Kinetics. 2017;55:117-125. DOI: 10.1515/hukin-2017-0011. Role in OrthoTennis: Supports measuring movement speed, deceleration and acceleration around split-step events while retaining stroke-context labels. Source
[6] Filipčič A, Leskošek B, Filipčič T. Split-step timing of professional and junior tennis players. Journal of Human Kinetics. 2017;55:97-105. DOI: 10.1515/hukin-2017-0009. Role in OrthoTennis: Supports timing split-step relative to a defined external event. OrthoTennis reports split-step-to-first-movement unless an external opponent-impact cue is independently available. Source
[7] Giles B, Reid M. Applying the brakes in tennis: how entry speed affects the movement and hitting kinematics of professional tennis players. Journal of Sports Sciences. 2021;39(3):259-266. DOI: 10.1080/02640414.2020.1816287. Role in OrthoTennis: Supports describing entry speed and braking/deceleration together with stroke kinematics rather than reducing tennis movement to top speed alone. Source
[8] Giles B, Peeling P, Reid M. Quantifying change of direction movement demands in professional tennis matchplay: an analysis from the Australian Open Grand Slam. Journal of Strength and Conditioning Research. 2024;38(3):517-525. DOI: 10.1519/JSC.0000000000003937. Role in OrthoTennis: Supports court-path, acceleration, braking and change-of-direction workload summaries for full-court and match-point workflows. Source
[9] Pluim BM, Jansen MGT, Williamson S, et al. Physical demands of tennis across the different court surfaces, performance levels and sexes: a systematic review with meta-analysis. Sports Medicine. 2023;53(4):807-836. DOI: 10.1007/s40279-022-01807-8. Role in OrthoTennis: Supports keeping surface, sex, level and match/drill context in every comparison and using movement/stroke workload outputs as descriptive context rather than universal norms. Source
[10] Huang Y-C, Liao I-N, Chen C-H, İk T-U, Peng W-C. TrackNet: a deep learning network for tracking high-speed and tiny objects in sports applications. arXiv:1907.03698. 2019. DOI: 10.48550/arXiv.1907.03698. Role in OrthoTennis: Computer-vision reference for temporal ball localisation. The included mobile detector is a transparent colour-motion-shape tracker, not the TrackNet network, and can later be replaced behind the same observation API. Source
[11] International Tennis Federation. Rules of Tennis and official court dimensions, current rules and regulations portal, accessed 8 August 2026. Role in OrthoTennis: Defines the 8.23 m singles-court width and 23.77 m court length used by four-corner homography calibration. Source
[12] Xie P, Gu J, Huang J. Effects of neuromuscular training on physical and tennis-specific performance in youth and young adult male tennis players: a systematic review and meta-analysis. PLOS ONE. 2026;21(8):e0355297. DOI: 10.1371/journal.pone.0355297. Role in OrthoTennis: Recent training-evidence context for longitudinal performance workflows. It does not supply universal cut-offs and should not be used to diagnose injury or prescribe training automatically. Source
[13] Fleisig G, Nicholls R, Elliott B, Escamilla R. Kinematics used by world class tennis players to produce high-velocity serves. Sports Biomechanics. 2003;2(1):51-64. DOI: 10.1080/14763140308522807. Role in OrthoTennis: Laboratory 3D kinematic context for serve segment ranges and angular velocities. OrthoTennis uses it to explain kinetic-chain timing; camera-derived proxies are not claimed to reproduce laboratory measurements. Source
[14] Myers NL, Kibler WB, Lamborn L, Smith BJ, English T, Jacobs CA, Uhl TL. Reliability and validity of a biomechanically based analysis method for the tennis serve. International Journal of Sports Physical Therapy. 2017;12(3):437-449. Role in OrthoTennis: Supports structured observational review of serve components and reinforces the need for trained review and defined criteria rather than unqualified automated conclusions. Source
[15] Landlinger J, Lindinger SJ, Stöggl T, Wagner H, Müller E. Kinematic differences of elite and high-performance tennis players in the cross court and down the line forehand. Sports Biomechanics. 2010;9(4):280-295. DOI: 10.1080/14763141.2010.535841. Role in OrthoTennis: Supports retaining stroke direction and skill context when interpreting pelvis, trunk, arm and timing variables in the forehand. Source
[16] Brito AV, et al. The influence of kinematics on tennis serve speed. Bioengineering. 2024;11(10):971. DOI: 10.3390/bioengineering11100971. Role in OrthoTennis: Recent serve-speed context linking multisegment kinematics with outcome. Used for explanatory coaching context, not universal cut-offs. Source
[17] Jacquier-Bret J, Gorce P. Kinematics characteristics of key points of interest during tennis serve among tennis players: a systematic review and meta-analysis. Frontiers in Sports and Active Living. 2024;6:1432030. DOI: 10.3389/fspor.2024.1432030. Role in OrthoTennis: Summarises serve key-point kinematics and variability across methods. Supports phase-specific presentation and cautions against a single universal ideal. Source
[18] Wade L, Needham L, McGuigan P, Bilzon J. Applications and limitations of current markerless motion capture methods for clinical gait biomechanics. PeerJ. 2022;10:e12995. DOI: 10.7717/peerj.12995. Role in OrthoTennis: General markerless-motion limitations reference. Supports explicit distinction between laboratory measurements, calibrated reconstruction and view-dependent proxies. Source
[19] Uhlrich SD, Falisse A, Kidziński Ł, et al. OpenCap: human movement dynamics from smartphone videos. PLOS Computational Biology. 2023;19(10):e1011462. DOI: 10.1371/journal.pcbi.1011462. Role in OrthoTennis: Demonstrates the promise and validation requirements of smartphone video-based movement analysis. OrthoTennis does not claim equivalence to OpenCap or musculoskeletal kinetics. Source
[20] Turner JA, Chaaban C, Padua DA. Validation of OpenCap: a low-cost markerless motion capture system for lower-extremity kinematics during return-to-sport tasks. Journal of Biomechanics. 2024;171:112200. DOI: 10.1016/j.jbiomech.2024.112200. Role in OrthoTennis: Provides contemporary smartphone markerless validation context and supports transparent limits for dynamic sport tasks. Source
[21] Horsak B, Kainz H, Dumphart B. Repeatability and minimal detectable change including clothing effects for smartphone-based 3D markerless motion capture. Journal of Biomechanics. 2024;175:112281. DOI: 10.1016/j.jbiomech.2024.112281. Role in OrthoTennis: Supports repeatability-focused interpretation, consistent clothing and protocol, and avoiding conclusions from changes smaller than measurement variability. Source
[22] Boey D, Girard O, Lee M, Elliott B, Reid M. Unlocking the potential of video-based markerless motion analysis to study world-class sporting performance. Journal of Sports Sciences. 2026;44(10):1261-1274. DOI: 10.1080/02640414.2025.2576412. Role in OrthoTennis: Current real-world markerless analysis context. Emphasises rigorous sport-specific validation, camera configuration and clear limits before high-fidelity in-competition interpretation. Source