RESEARCH & SCIENCE
Advance the field of movement science beyond the doors of the lab.
Lab-grade biomechanics data collection in real-world environments. Accelerate research with validated, high-fidelity metrics, and scalable data capture.
Tech Specs
Sensor Type
32g IMU
Sampling Frequency
416 Hz
Battery Life
8 hrs
Size
35.4 x 28.8 x 3.6 mm
Weight
< 5 grams per pod
Water Resistance
IP67
Why Researchers Choose Plantiga
Bridge the gap between laboratory precision and real-world biomechanics research.
Lab-Grade Accuracy
Validated against gold-standard systems. Published research demonstrates strong correlations with laboratory equipment for load, asymmetry, and biomechanics parameters.
Ecological Validity
Capture naturalistic gait data in participants' real environments—home, community, sports fields. Eliminate the artificial constraints and observer effects of laboratory settings.
Scalable Data Collection
Scale your research with continuous, longitudinal data capture. Monitor as many participants as you need simultaneously, without laboratory visits or researcher supervision.
Flexible Data Access
Export raw sensor data or use validated algorithms. Integrate with your analysis pipeline via API or download processed metrics. Full control over your research data.
Simple workflow, powerful discoveries
Comprehensive tools for rigorous biomechanics investigation
Data Collection
Participants wear sensor insoles during daily activities, training, or specific protocols. Data captured at 200Hz with minimal participant burden and no researcher presence required.
Processing & Export
Access raw sensor data and processed gait parameters through research dashboards or API. Export to CSV, integrate with analysis pipelines, or use our validated algorithms.
Analysis & Publication
Leverage comprehensive documentation, validation studies, and technical support for publication-ready research. Join a growing network of researchers using Plantiga.
Study gait pathology in natural environments
Neurological conditions (Parkinson's, MS, stroke)
Orthopedic populations (OA, post-surgical)
Aging and fall risk research
Rehabilitation outcomes assessment
Longitudinal disease progression tracking
Research Applications
Powerful tools for every stage of rehabilitation and injury prevention
Clinical Populations
Evaluate treatment efficacy with objective outcomes
Pharmaceutical trials with gait endpoints
Physical therapy effectiveness research
Surgical outcome assessment
Exercise intervention effects
Assistive device evaluation
Intervention Studies
Investigate athletic performance and injury mechanisms
Training load monitoring and periodization
Injury risk factor identification
Return-to-sport decision support
Fatigue and recovery assessment
Sport-specific movement analysis
Sport Science
Large-scale epidemiological and cohort studies
Gait as a vital sign across populations
Predictive biomarker development
Activity pattern characterization
Remote participant monitoring
Multi-site collaborative research
Population Health
Research-Grade Features
Built for rigorous scientific investigation and publication
Validated algorithms
Peer-reviewed validation studies published in scientific journals. Algorithms developed and tested against gold-standard laboratory equipment.
Raw data access
Full access to raw sensor data (500Hz) for custom analysis. Develop your own algorithms or validate existing metrics against your protocols.
API integration
Seamless integration with your research infrastructure. Automate data collection, processing, and analysis workflows.
Research collaboration
Join our research network. Access technical support, validation data, and collaboration opportunities with other research institutions.
Publication support
Detailed technical specifications, validation references, and methodology descriptions to support manuscript preparation and peer review.
Customization options
Customize the software to view what matters to you. Customize the insoles your subjects use to make them as comfortable as possible.
