<?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="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/629EB43F-B541-41B7-B763-44B9AA9DC8FB" ns1:id="629EB43F-B541-41B7-B763-44B9AA9DC8FB"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/9A18417F-5F5F-4322-BD0A-25EC95E4E8AC" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D5B6E1F8-74D7-4F39-A68B-F216BBD5B7F4" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D5B6E1F8-74D7-4F39-A68B-F216BBD5B7F4" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/1A6E17EB-4E79-411F-AB63-7B7B30D540DF" ns1:rel="FUND" ns1:start="2024-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10105315</ns2:identifier></ns2:identifiers><ns2:title>Manual-handling injury prevention technology with AI enabled automatic risk detection, classification and intervention identification functionalities</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Musculoskeletal Disorders(MSDs) or Manual-handling injuries accounts for roughly a 1-in-3 workplace injuries in the UK and worldwide.

MSDs impact businesses on financial, productivity, compliance and legal fronts. For staff, MSDs can lead to long-term health impact and reduced productivity and Quality-of-Life(QoL). MSDs also adds pressure to the healthcare and social-support system.

Conventional methods for managing MSDs have limitations and the MSD injury-rate is still high.

We are developing, MOVA, a wearable sensor based, full-body ergonomic solution that empowers H&amp;amp;S teams to,

1.Conduct insightful MSD risk-assessments

2.Protect vulnerable staff through optional real-time alerts

3.Targeted ergonomic-training to staff,

while protecting staff-privacy and overcoming the drawbacks the current methods.

We are developing AI analytics that helps automatic risk detection, classification and risk-mitigation identification to help H&amp;amp;S team proactively prevent MSD risks.

MOVA enables a digital, evidence based, scientific and proactive approach to Health &amp;amp; Safety, which will result in,

* Reduced work-place injuries
* Increased productivity
* Improved legal compliance
* Enhanced safety-culture
* Healthier and happier workforce

The above translates to,

* Maximize staff-availability
* Cost savings
* Productivity gains
* Improved operational efficiency</ns2:abstractText></ns2:project>