Seed project: SAT - Movement Analysis – developing a prototype for an AI-trained tool, to evaluate movement quality
In this cross-disciplinary project, we want to explore and learn from the opportunities of combining the Skeleton Avatar Technique (SAT), well-designed AI models, and clinical movement expertise to develop a prototype of the SAT – Movement Analysis – a tool to evaluate, promote and motivate sustainable physical functioning in daily living among older adults.
Project information
Full titel of the seed project
SAT Movement Analysis – developing a prototype for an AI-trained tool, to evaluate movement quality and promote sustainable physical functioning
Seed project manager
Sofia Backåberg
Other participants
Cecilia Fagerström, Alisa Lincke and Welf Löwe, Linnaeus University, Gunilla Elmgren Frykberg, Uppsala University, Katarina Eriksson Östh, Region Kronoberg, Joakim Niklasson, Blekinge Institute of Technology
Participating organisations
Linnaeus University, Uppsala University, Region Kronoberg, Blekinge Institute of Technology
Finansier
Linnaeus University Centre Data Intensive Sciences and Applications (DISA)
Time table
1 Feb 2025 - 31 April 2025
Research subjects
Health Sciences (Department of Health and Care Sciences, Faculty of Health and Life Sciences), Computer Science (Department of Computer Science and Media Technology, Faculty of Engineering)
Research group
The ReAction group - Resilient healthcare and patient activation
Centre of excellence
Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)
Knowledge environment
Linnaeus Knowledge Environment: Sustainable Health
More about the project
The increasing older population presents a global challenge in several aspects, not least within healthcare. The positive effects of maintaining physical functioning among older adults and using their bodily resources optimally are well-known and can contribute to independence and quality of life. Effective and precise tools to evaluate and analyse movement quality are important to support and motivate older adults to maintain sustainable physical functioning in daily life.
In this interdisciplinary project, we will develop a prototype for SAT Movement Analysis - an AI-trained tool based on objective and subjective movement analysis through Skeleton Avatar Technique (SAT) recordings and expert assessments to analyse and evaluate movement quality in daily movements and examine its correlation with other health variables.
We will use (i) SAT recordings from daily movements (sit-to-stand, sit-to-walk, and standing-to-walking), (ii) data from instrumental movement analysis systems, i.e. MoLab, RSscan, and force plates, and (iii) information from structured assessments by movement experts based on the recordings. When the AI models are trained in a sublaminar manner by interpreting the movement expert's interaction with the SAT recordings, the goal is that SAT Movement Analysis will eventually be able to learn new specific movements/skills based on the movement experts' assessments.
SAT Movement Analysis has the potential to be useful in several areas; a) to prevent deteriorating physical functioning and promote sustainable daily movements among older adults, b) to identify who might benefits from early preventive interventions and individualised support in primary care, c) to support learning and training in structured observational movement analysis and encourage a common language to describe movement deviations, d) to be used in large clinical studies to explore the correlations between movement deviations and other health-related variables, and e) to assess a sublaminar labelling approach that allows scaling these values a)-d) to a wide variety of movements tailored to different ages, functional levels, goals, etc.
What is a seed project?
A seed project is a minor project funded by a knowledge environment or a research group at the university. The aim is to launch and promote excellent research. Depending on the financier, a seed project may be to idenfify new or deepen existing collaborations, preferably cross-disciplinary ones, to explore possible research issues in a feasibility study, to collect empirical material, or to write an application for external funding.
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