Movement Pattern Analysis in Recreational Cyclists (MOVE-25)
Submitted by Lucas Bianchi · Sports Science, Data Science · 2026-07-20
Basic Info
- Department(s)
- Sports Science, Data Science
- Applicant Role
- —
- Primary Banner
- LUNEX
- Project Types
- Research
- Legal Signature Required
- Yes
- Line Manager Approval Required
- Yes
- Supervisor Approval Required
- No
Classification
- Funding Type
- Internal
- Strategic Alignments
- —
- Research Pillars
- —
- Expected Contributions
- —
Summary
Abstract: This project investigates Movement Pattern Analysis in Recreational Cyclists, using a structured data-collection protocol to characterize patterns relevant to injury prevention and performance optimization over a defined study period.
Objectives: Characterize Movement Pattern Analysis patterns in Recreational Cyclists.; Identify actionable indicators for practitioners.
Methodology: Observational study collecting Movement Pattern Analysis-related data across multiple sessions, analyzed with standard statistical methods.
Expected Outputs: Publications
Keywords: movement pattern analysis; recreational cyclists
Impact, Risk & Ethics
Scientific impact: Contributes new data on Movement Pattern Analysis not previously characterized in Recreational Cyclists.
Societal impact: Supports safer and more effective practice for Recreational Cyclists.
Ethics approval required: Yes
Budget
- Dedicated Budget
- No
- Total Budget
- —
- Requested Funding
- —
- Own Contribution
- —
- Funding Body / Sponsor
- —
Feasibility
PI statement: I have the relevant expertise and will dedicate sufficient time to this project.
- Estimated PI Effort
- 30%
Compliance & Governance
- Data Management Plan Required
- Yes
- GDPR Considerations
- Yes
- Open Science Plan S Compliance
- No
- IP Considerations
- No