LHSSRI & LUNEX Project Portal
← Back to dashboard

Wearable Sensor Validation for Return-to-Sport Testing (WEAR-RTS)

Submitted by Sofia Bianchi · Data Science · 2026-07-20

Pending Review

Basic Info

Department(s)
Data Science, Sports Science
Applicant Role
—
Primary Banner
Joint
Project Types
Research, Industry Collaboration
Legal Signature Required
No
Line Manager Approval Required
Yes
Supervisor Approval Required
No

Team Members

  • Sofia Bianchi — Principal Investigator (Data Science) · 25% effort

External Partners

  • MotionSense GmbH — Industry (Germany) · contact: Dr. Hoffmann

Classification

Funding Type
Contract Research
Strategic Alignments
AI And Technology
Research Pillars
Collaboration
Expected Contributions
—

Summary

Abstract: This project validates a commercial wearable sensor system against laboratory-grade motion capture during standard return-to-sport test batteries, to assess its suitability for field use by clinicians.

Objectives: Validate wearable sensor accuracy against motion capture; Produce field-deployment guidelines for clinicians

Methodology: Concurrent data collection with both systems during a standard return-to-sport test battery, with agreement analysis between the two.

Expected Outputs: Publications, Policy Practice Impact

Keywords: wearable sensors; validation; return-to-sport; motion capture

Impact, Risk & Ethics

Scientific impact: Provides independent validation data for a commercial sensor system increasingly used in clinical practice.

Societal impact: Gives clinicians evidence-based confidence in lower-cost field tools, widening access to quality return-to-sport testing.

Ethics approval required: No

Budget

Dedicated Budget
No
Total Budget
—
Requested Funding
—
Own Contribution
—
Funding Body / Sponsor
—

Feasibility

PI statement: This is a focused validation study within existing lab capacity and partner agreement.

Estimated PI Effort
25%

Justification for team capacity: Equipment and partner sensors already available; no additional procurement needed.

Compliance & Governance

Data Management Plan Required
Yes
GDPR Considerations
No
Open Science Plan S Compliance
Yes
IP Considerations
Yes

IP description: Validation results shared with partner under existing collaboration agreement; no new IP generated.