
behavior PARADIGM/test
KinemaGaitScan: 3D Kinematic and Gait Analysis
KinemaGaitScan represents the pinnacle of automated 3D kinematic tracking, specifically designed to meet the rigorous demands of modern behavioral neuroscience. By integrating high-speed AI imaging with specialized 3D modeling, our system captures every facet of rodent locomotion within a controlled treadmill environment. It generates an exhaustive dataset, calculating critical parameters such as exact joint flexion, posture dynamics, ground reaction force, and inter-limb coordination with millimeter precision. This automated approach eliminates the subjectivity of traditional observation, allowing researchers to detect subtle phenotypic changes and evaluate drug efficacy with unprecedented sensitivity. Designed for high-throughput preclinical screening, KinemaGaitScan ensures absolute data reproducibility across longitudinal studies, supporting regulatory compliance and high-impact scientific reporting. Whether investigating neurodegenerative models, spinal cord recovery, or developmental motor disorders, this system provides the objective, multidimensional insights necessary to advance therapeutic discovery and bridge the gap between bench research and clinical application.
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Gait Metrics:
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Body Rotation
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Body‐Foot Spacing
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Distance Walked
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Gait Angle
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Paw Pressure
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Print Area
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Running Speed
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Stance Graph
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Stride Frequency
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Stride Time
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Toe Spread
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% of time # of feet on floor
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Body Shift
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Coupling/Coordination
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Foot‐Foot Spacing
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Intermediary Toe Spread
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Print Angle
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Print Length
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Stance & Swing
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Stand Up
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Stride Length
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Kinematic Metrics:
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3D Joint‐Motion Tracks
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Joint Angles
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Joint Movement Range/Cycle, etc.
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Lissajous Graph, etc.
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Validated Precision: Used by top scientists to meet preclinical compliance and produce robust, verifiable research data.




Traditional Methods


Manual Scoring

Observer Bias

Basic Insights
Time-Consuming
Clever Sys AI


Fully Automated

Objective & Precise

Deep Data Analytics
Instant Results

Advanced Behavioral Insights
Utilizing KinemaGaitScan for 3D kinematic tracking eliminates the variability and limitations of manual gait scoring. We provide researchers in behavioral neuroscience with tools to decode complex motor patterns through automated, high-fidelity modeling. By delivering accurate quantification of locomotor deficits, our system ensures the high-impact data integrity required for preclinical pharmaceutical development and neurobiology validation.
Tech Details
• Platform: Win 11/10
• Software: KinemaGaitScan
• Hardware: Customized KinemaGaitScan Apparatus

Optimized Windows Software
Proven Academic Trust
Our technology represents the industry benchmark for automated behavior testing. Scientific teams across the globe have published findings based on Clever Sys tech, adhering to strict preclinical compliance protocols while ensuring the highest level of data integrity and objectivity within prestigious international journals.
See high-fidelity AI-Powered 3D Kinematic and Gait Analysis in action: capturing exploration with sub-second precision to maintain rigorous preclinical standards.
Publications
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Lee, D.E., McKay, L.K., Bareja, A. et al. Glutamine-driven reductive TCA cycle metabolism supports aged muscle stem cell function via de novo lipogenesis. Nat Aging 6, 1007–1020 (2026). https://doi.org/10.1038/s43587-026-01120-3.
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Silke Nuber, Xiaoqun Zhang, Thomas D. McCaffery, Tim E. Moors, Marie-Alexandre Adom, Wolf N. Hahn, Dylan Martin, Maria Ericsson, Arati Tripathi, Ulf Dettmer, Per Svenningsson, Dennis J. Selkoe. Generation of G51D and 3D mice reveals decreased α-synuclein tetramer-monomer ratios promote Parkinson’s disease phenotypes. Nature, Published: 29 February 2024. https://www.nature.com/articles/s41531-024-00662-w.
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Lisa S. Andersson, Martin Larhammar, Fatima Memic, Hanna Wootz, Doreen Schwochow, Carl-Johan Rubin, Kalicharan Patra, Thorvaldur Arnason, Lisbeth Wellbring, Göran Hjälm, Freyja Imsland, Jessica L. Petersen, Molly E. McCue, James R. Mickelson, Gus Cothran, Nadav Ahituv, Lars Roepstorff, Sofia Mikko, Anna Vallstedt, Gabriella Lindgren, Leif Andersson, Klas Kullander, (2012) Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice, Nature Volume: 488, Pages: 642–646 Date published: (30 August 2012) DOI: doi:10.1038/nature11399.
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Precision Analytics
High-resolution tracking engines delivering granular spatial data for complex behavioral phenotyping.

Instant Data Access
Dynamic processing enables immediate visualization and rapid validation of experimental trial flows.

Preclinical Compliance
Engineered to satisfy rigorous regulatory mandates for reproducible and valid preclinical research.

Seamless Integration
Modular architecture ensures interoperability with established lab infrastructure and data pipelines.
