<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/35889501-07FC-4DA3-85DF-28692F67AC2E" ns1:id="35889501-07FC-4DA3-85DF-28692F67AC2E"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C115F06E-09C3-4F3F-AE11-006D4F3D507B" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BCEF4DDE-7EBB-4D97-9C5B-9F277C1FEE13" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BCEF4DDE-7EBB-4D97-9C5B-9F277C1FEE13" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/17C74EFA-9BA9-4588-9162-5E96E10BD2BD" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-06-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/032E39EE-1FFF-495F-A84B-7D8A2296AEFA" ns1:rel="FUND" ns1:start="2023-06-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10055040</ns2:identifier></ns2:identifiers><ns2:title>University of Exeter and JockeyCam Limited KTP 22_23 R4</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop and embed the knowledge for sensor integration on jockey helmets to capture data on horse and rider movement in elite horse racing. To facilitate an industry leading data-driven approach to improve jockey health, welfare, and performance, and an enhanced state-of-the-art, real-time entertainment experience for fans.</ns2:abstractText></ns2:project>