See every choice. Extend every step.
For researchers who need to understand the data: the exact method at each step, transparent comparison between approaches, and modular extensibility to bring your own algorithms.
- 200+papers citing BTK
- Pythonadd your own modules
- H6Dopen data standard
Understand the data
Control at every step
A readable, documented recipe from raw signal to result: every operation can be inspected, reported, and reproduced.
- 1Choose the method
Every step exposes its published models and algorithms, so you decide exactly how the data is processed.
- 2Compare approaches
Run several methods on the same trial and see, side by side, how each choice changes the result.
- 3Extend with Python
Add your own algorithms as modules and slot new quantification methods straight into the flow.
- 4Structure with H6D
The open H6D standard organizes motion data so you can always find, reuse and share it.
What the Research setup brings
Moveck compared with a typical toolkit
- Moveck
- Typical toolkit
Use cases
Real recordings, raw to report.
0:44ClinicsResearchPipeCleanseGait comparison across a subject groupCompare normalized gait cycles for a whole cohort in one view.
0:12ResearchPipeExploreGround reaction forces on instrumented stairsEstimate ground reactions automatically, with no phantom forces on the steps that were never contacted.Vicon Nexus + AMTI
0:19ResearchPipeCleanseTwo biomechanical models on one trialRun the same walk through two models and see exactly where they disagree.Vicon Nexus
0:15ResearchPipeExploreForce plates and markerless pose, fusedCombine force plates recorded in QTM with markerless pose estimated by Theia.Qualisys QTM + Theia
Why researchers choose Moveck
Transparent, comparable, extensible
Everything you need to justify a method, compare it against another, and build on it, with the data structured so you can always find it again.
Transparent recipe
Every operation in the data flow is visible and documented, from raw signal to result, ready to report and reproduce.
Method comparison
Put models and algorithms side by side on the same data to justify a choice or benchmark against current practice.
Extensible modules
Bring your own algorithms as Python modules to develop new models, indicators, or quantification approaches.
Validated and cited
A broad set of published, verified methods, backed by years of use and citation across the community.
Open H6D standard
Motion data is structured with the open H6D standard, so your datasets stay organized, findable and easy to share across studies and teams.
Transparency
Why transparency is the requirement, not a feature
A result you cannot explain is a result you cannot publish. That is the whole argument, and it is why the method at every step is inspectable rather than summarized: a reviewer asking "how did you compute that" needs an answer more specific than the name of the software.
The comparison view exists for the same reason. Choosing a model is a decision you have to defend, and defending it is easier when you can show what the alternatives produced on the same trial.
Built for your field
Moveck across the movement sciences
Bring Moveck to your research work.
Tell us the question you are trying to answer and the systems you capture it with. Your request reaches our team, who will connect you with the right partner in your territory.