From 4e67934ed13889a7cf6cb08b615d6817b52d9862 Mon Sep 17 00:00:00 2001 From: Seeeeeyo Date: Mon, 3 Aug 2026 20:07:18 +0200 Subject: [PATCH] work that used this software --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 45269bb..bbbb336 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -194,7 +194,7 @@ OpenCap Visualizer supports high-throughput biomechanics workflows where manual, # Research Impact Statement -OpenCap Visualizer is integrated into the OpenCap [@opencap] processing pipeline and serves as the default visualization tool for OpenCap Monocular [@opencap-monocular]. The Python package is published on PyPI ([https://pypi.org/project/opencap-visualizer](https://pypi.org/project/opencap-visualizer)) and has been used by our group to run a parameter optimization across several hundred trials to visualize the resulting motions from OpenCap Monocular, with both the qualitative figures and the supplementary motion videos in [@opencap-monocular] generated directly with the tool. The browser viewer has further supported peer collaboration on OpenCap projects through shareable URLs. The codebase is released open-source under the Apache License 2.0 on GitHub with public issue tracking, automated PyPI releases, and worked examples in the repository. Near-term uptake is anticipated by groups working with markerless motion capture, real-time biofeedback, and large-scale field studies, where the absence of a scriptable, browser-based visualizer has been a recurring bottleneck. +OpenCap Visualizer is integrated into the OpenCap [@opencap] processing pipeline and serves as the default visualization tool for OpenCap Monocular [@opencap-monocular]. The Python package is published on PyPI ([https://pypi.org/project/opencap-visualizer](https://pypi.org/project/opencap-visualizer)) and has been used by our group to run a parameter optimization across several hundred trials to visualize the resulting motions from OpenCap Monocular, with both the qualitative figures and the supplementary motion videos in [@opencap-monocular] generated directly with the tool. It has also been used to develop and illustrate a foundation model of gait kinematics [@Magruder2026]. The browser viewer has further supported peer collaboration on OpenCap projects through shareable URLs. The codebase is released open-source under the Apache License 2.0 on GitHub with public issue tracking, automated PyPI releases, and worked examples in the repository. Near-term uptake is anticipated by groups working with markerless motion capture, real-time biofeedback, and large-scale field studies, where the absence of a scriptable, browser-based visualizer has been a recurring bottleneck. # AI Usage Disclosure