Evidence map›Paper›PMID 41600457›Full record

ArticleSensors (Basel, Switzerland)2026

Validation of a Markerless Multi-Camera Pipeline for Bouldering Fall Kinematics.

Nathan Carretier, Erwan Beurienne, Marie-Hélène Beauséjour, Lucas Gros, Claire Bruna-Rosso, Marine Dorsemaine, Michel Behr, Nicolas Bailly, Julien Clément

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nathan CarretierDepartment of Systems Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada.ORCID 0009-0008-7125-0249
Erwan BeurienneLaboratoire de Biomécanique Appliquée, Aix-Marseille Université, Université Gustave Eiffel, 13015 Marseille, France.ORCID 0009-0002-9458-9284
Marie-Hélène BeauséjourDepartment of Systems Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada.ORCID 0000-0001-5720-3712
Lucas GrosDepartment of Systems Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada.
Claire Bruna-RossoLaboratoire de Biomécanique Appliquée, Aix-Marseille Université, Université Gustave Eiffel, 13015 Marseille, France.ORCID 0000-0002-0061-9319
Marine DorsemaineLaboratoire de Biomécanique Appliquée, Aix-Marseille Université, Université Gustave Eiffel, 13015 Marseille, France.ORCID 0000-0001-6943-3961
Michel BehrLaboratoire de Biomécanique Appliquée, Aix-Marseille Université, Université Gustave Eiffel, 13015 Marseille, France.ORCID 0000-0003-2913-4486
Nicolas BaillyLaboratoire de Biomécanique Appliquée, Aix-Marseille Université, Université Gustave Eiffel, 13015 Marseille, France.ORCID 0000-0002-6941-6253
Julien ClémentDepartment of Systems Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada.ORCID 0000-0001-8212-3482

Funding

Natural Sciences and Engineering Research Council of Canada DGECR-2024-00197
6 · The paper itself

Abstract

Indoor bouldering is a popular and rapidly growing sport in which climbers fall repeatedly from walls up to 4-5 m high, making lower-limb injuries common. It is therefore essential to understand fall kinematics and impact conditions, yet fall kinematics remain poorly documented because laboratory motion capture is impractical in gyms. This study aimed to validate a markerless multi-camera pipeline (Pose2Sim) against a 2D video annotation tool (Kinovea) for displacement and velocity measurement, and against IMUs for peak acceleration. Ten teenage athletes (3 males, 7 females; 14-17 years) performed 40 falls recorded with five cameras (GoPro HERO12, USA, 2.7 K, 240 fps) and three IMUs (Blue Trident, Vicon, UK; ±200 g, 1600 Hz). Cut-off frequencies were set using Yu's method (13 Hz for video, 39 Hz for IMUs). Pose2Sim's results closely matched those of Kinovea for fall height and peak velocity with non-significant differences but underestimated peak acceleration. At the forehead, no significant difference was found, likely due to smaller accelerations at the head. Markerless video analysis is appropriate for studying fall kinematics and typology in indoor bouldering. IMUs remain necessary to quantify impact intensity, and future work should explore the combination of both IMUs and video to overcome this limitation.

Indexed as

Accidental FallsAccelerationAdolescentBiomechanical PhenomenaFemaleHumansMaleMotion CaptureVideo Recordingaccelerationboulderingfallinertial measurement unitinjury preventionkinematicsmarkerlessPose2Simsports biomechanicsvideo analysis

Identifiers

PMID41600457
PMCPMC12846235

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.