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.
Make data-driven decisions
Share intuitive reports
Elevate your craft
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.
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.
Ecological Validity
Capture naturalistic gait data in participants' real environments—home, community, sports fields. Eliminate the artificial constraints and observer effects of laboratory settings.
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.
Research Applications
Powerful tools for every stage of rehabilitation and injury prevention
Clinical Populations
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
Intervention Studies
Evaluate treatment efficacy with objective outcomes
Pharmaceutical trials with gait endpoints
Physical therapy effectiveness research
Surgical outcome assessment
Exercise intervention effects
Assistive device evaluation
Sport Science
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
Population Health
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
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.
Research
collaboration
Join our research network. Access technical support, validation data, and collaboration opportunities with other research institutions.
Raw data
access
Full access to raw sensor data (500Hz) for custom analysis. Develop your own algorithms or validate existing metrics against your protocols.
Publication
support
Detailed technical specifications, validation references, and methodology descriptions to support manuscript preparation and peer review.
API
integration
seamless integration with your research infrastructure. Automate data collection, processing, and analysis workflows.
Customization
options
Customize the software to view what matters to you. Customize the insoles your subjects use to make them as comfortable as possible.
Plantiga Hardware
Placeholder: Describe your hardware product here. What does it look like? What does it do? Who is it for?
- Feature one — e.g. Lightweight, wearable sensor pod
- Feature two — e.g. Long battery life
- Feature three — e.g. Water resistant & durable
- Feature four — e.g. Easy to attach and remove
Plantiga Software
Placeholder: Describe your software platform here. What insights does it provide? How does it help users?
- Feature one — e.g. Real-time movement analytics
- Feature two — e.g. Intuitive dashboard & reporting
- Feature three — e.g. Clinician and athlete profiles
- Feature four — e.g. Integrates with existing workflows