The Unseen Strain: How AI Motion Capture is Redefining Caregiver Safety

TORONTO, ON – August 11, 2026 – In the quiet corridors of a New Brunswick research lab, a revolution in patient care is being meticulously measured. Here, kinesiology researchers are using advanced artificial intelligence to analyze one of healthcare’s most physically punishing tasks: repositioning a patient in bed. This work, the first of its kind in North America, isn't just about academic curiosity. It represents a critical intersection of technology, ergonomics, and public health, aiming to alleviate the immense physical burden placed on caregivers and address a growing crisis in workforce sustainability.

At the heart of this effort is Theia3D, an AI-powered markerless motion capture platform, which is providing the objective data needed to evaluate a European patient-handling system called Vendlet. By tracking the precise movements of caregivers, this project offers a glimpse into a future where technology doesn't replace the human element of care, but rather preserves it by protecting the caregivers themselves.

The Human Cost of Care

The strain on North America's healthcare system is a well-documented crisis. In Canada, with fewer than 2.5 hospital beds per 1,000 people, the phenomenon of “hallway medicine” has become a grim reality, pushing hospitals to operate at or beyond capacity. This overcrowding places an immense workload on frontline staff, particularly nurses and personal support workers, who experience some of the highest rates of work-related musculoskeletal injuries (MSIs) of any profession.

These injuries are not random accidents; they are the cumulative result of daily physical exertion, primarily from manually lifting, turning, and repositioning patients. The physical toll leads to chronic pain, burnout, and a significant number of professionals leaving the workforce, exacerbating staffing shortages. This vicious cycle not only harms workers but also compromises the quality of patient care. The need for evidence-based solutions that can break this cycle has never been more urgent.

A European Solution Meets North American Scrutiny

Enter the Vendlet system. Already a well-established technology throughout Europe, it is a powered patient repositioning system that uses motorized side rails and specialized sheets to gently turn and move patients with minimal physical effort from a caregiver. European studies have demonstrated significant benefits, including dramatic reductions in physical strain, improved patient comfort and dignity, and even cost savings through more efficient staffing and lower injury-related expenses.

Despite its success abroad, the system has yet to be adopted in North America, partly due to a lack of local, evidence-based evaluation. A research team led by Dr. Michelle Cardoso of the Université de Moncton and Dr. Wayne Albert of the University of New Brunswick is now bridging that gap. Their Occupational Biomechanics Lab houses the only Vendlet system available for research in North America. A key practical challenge they've addressed is the difference in hospital equipment standards; in collaboration with the Research & Productivity Council (RPC), the team has developed a unique bracket system to make Vendlet compatible with North American medical beds, and is even exploring patent protection for the design—a crucial step in translating research into a marketable solution.

From the NBA to the ICU: The Tech Behind the Trial

To objectively measure the Vendlet system's impact, the researchers turned to a technology with roots in a completely different field: professional sports. Theia3D, a platform used by organizations like the NBA to analyze athlete movement and optimize performance, is now being deployed to scrutinize the ergonomics of patient care. This crossover is a powerful example of how innovation in one sector can unlock solutions in another.

Unlike traditional motion capture, which requires researchers to place dozens of reflective markers on the caregiver, the patient, and the bed—a cumbersome and impractical process in a clinical setting—Theia3D is markerless. Using AI and standard video cameras, it transforms footage into precise, 3D biomechanical data. "While we've previously relied on traditional marker-based motion capture to study patient handling, this technology allows us to analyze these movements more naturally and has the potential to bring motion analysis into real-world clinical settings," said Dr. Cardoso. The efficiency is a game-changer. "Without the need for reflective markers, we can collect and process data much more efficiently, reducing both experimental setup and data processing time."

This technology allows for an unprecedented level of detail in analyzing the nearly 550 laboratory-based trials. Dr. Albert emphasized the importance of this objectivity. "Theia3D allows us to objectively measure how caregivers move while repositioning a patient, whether the task is performed manually or with an assistive technology," he stated. "These measurements provide the evidence we need to evaluate new technologies and determine which approaches can reduce the physical demands placed on caregivers."

Quantifying Relief and Charting a Path Forward

The preliminary findings from the research, shared at the 2026 World Congress of Biomechanics, are compelling. The data indicates that using the Vendlet system was associated with more neutral caregiver postures, significantly lower forces on joints and the spine, and reduced cumulative physical loading over time. Perhaps just as importantly, caregivers reported lower perceived discomfort and effort. This is the hard evidence that healthcare administrators and policymakers need to justify investment in new assistive technologies.

"Theia3D is giving healthcare researchers a clearer view of how caregivers move during physically demanding patient-handling care," said Marcus Brown, CEO of Theia. "By capturing complex caregiver movement at scale, we're helping advance the scientific understanding of patient handling and providing evidence that can inform future approaches to caregiver safety and workforce sustainability."

The project's collaborative nature, involving academic institutions, provincial research funders like ResearchNB, and safety bodies like the New Brunswick Continuing Care Safety Association (NBCCSA), underscores a shared commitment to solving this systemic problem. By rigorously testing and adapting an established European technology with cutting-edge AI analysis, this New Brunswick initiative is creating a powerful blueprint for innovation. It demonstrates a clear path from identifying a critical need to validating a practical solution, promising a future where the act of caring for others no longer comes at such a high physical cost to the caregiver.