mlsanityData to 14 Oct 2026

Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone

arXiv 2507.08268 ↗First posted 11 Jul 2025cs.CVcited by 8

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Abstract (arXiv)

Movement directly reflects neurological and musculoskeletal health, yet objective biomechanical assessment is rarely available in routine care. We introduce Portable Biomechanics Laboratory (PBL), a secure platform for fitting biomechanical models to video collected with a handheld, moving, smartphone. We validate this approach on over 15 hours of data synchronized to ground truth motion capture, finding mean joint-angle errors < 3deg and pelvis-translation errors of a few centimeters across patients with neurological-injury, lower-limb prosthesis users, pediatric in-patients, and controls. In > 5 hours of prospective deployments to neurosurgery and sports-medicine clinics, PBL was easy to setup, yielded highly reliable gait metrics (ICC > 0.9), and detected clinically relevant differences. For cervical-myelopathy patients, its measurement of gait quality correlated with modified Japanese Orthopedic Association (mJOA) scores and were responsive to clinical intervention. Handheld smartphone video can therefore deliver accurate, scalable, and low-burden biomechanical measurement, enabling greatly increased monitoring of movement impairments. We release the first clinically-validated method for measuring whole-body kinematics from handheld smartphone video at https://IntelligentSensingAndRehabilitation.github.io/MonocularBiomechanics/.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 19 of its 82 references that are in the map. First posted on arXiv 11 Jul 2025.

Builds on

19 of 82 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,361
  2. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 910
  3. 2021Equinox: neural networks in JAX via callable PyTrees and filtered transformationscited by 148
  4. 2022MyoSuite -- A contact-rich simulation suite for musculoskeletal motor controlcited by 80
  5. 2020MoVi: A Large Multipurpose Motion and Video Datasetcited by 58
  6. 2022Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formatscited by 50
  7. 2023LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotioncited by 33
  8. 2025Reconstructing Humans with a Biomechanically Accurate Skeletoncited by 22
  9. 2024Differentiable Biomechanics Unlocks Opportunities for Markerless Motion Capturecited by 18
  10. 2025BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videoscited by 16
  11. 2022PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Researchcited by 10
  12. 2023Markerless Motion Capture and Biomechanical Analysis Pipelinecited by 10
7 more
  1. 2022Transforming Gait: Video-Based Spatiotemporal Gait Analysiscited by 8
  2. 2024Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison with Optical Motion Capturecited by 8
  3. 2024Fusing uncalibrated IMUs and handheld smartphone video to reconstruct knee kinematicscited by 6
  4. 2025KinTwin: Imitation Learning with Torque and Muscle Driven Biomechanical Models Enables Precise Replication of Able-Bodied and Impaired Movement from Markerless Motion Capturecited by 5
  5. 2024Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimationcited by 3
  6. 2025Biomechanical Reconstruction with Confidence Intervals from Multiview Markerless Motion Capturecited by 3
  7. 2024A Causal Framework for Precision Rehabilitationcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 8.

8 papers.

  1. 2026Monocular Biomechanical Tracking of Fingers with Inverse Kinematics to Foundation Modelscited by 5
  2. 2026HumanScore: Benchmarking Human Motions in Generated Videoscited by 3
  3. 2026Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspacecited by 1
  4. 2026Markerless Motion Capture for Biomechanical Whole-Body Kinematic Estimation in Infantscited by 1
  5. 2026BiomechAgent: AI-Assisted Biomechanical Analysis Through Code-Generating Agentscited by 0
  6. 2026AIGaitor: Privacy-preserving and cloud-free motion analysis for everyone, using edge computingcited by 0
  7. 2026Direct Clinical Joint Angle Extraction from Parametric Body Model Rotation Matricescited by 0
  8. 2026SynthGait-19K: A Physically Grounded Synthetic Video Dataset for Gait Parameter Estimationcited by 0