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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
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%
Team Capacity Adequate: Yes

Justification: 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.