BMVC 2026 Workshop • November 2026

BEST: Biomechanics-guided Multimodal Understanding of Human Movement for Sports and Health

A new workshop focused on combining biomechanics, computer vision, multimodal sensing, and machine learning to better understand movement for sports performance, injury prevention, rehabilitation, and everyday health.

Venue BMVC 2026 • Lancaster Town Hall (Council Chamber 45), Lancaster, UK
Date26 November 2026
AudienceComputer vision researchers, sports scientists, and health/social care practitioners

About the workshop

This workshop focuses on cutting-edge motion analysis using computer vision and multimodal learning facilitating Human Activity Recognition (HAR) and analytics. These include sports performance, physiotherapy assessments and digital healthcare. The aim is to bridge advancements in multimodal perception, machine learning, robust motion inference, and biomechanical optimisation. We encourage the HAR application of 3D/2D human pose estimation, multimodal fusion for motion understanding, automated skill assessment, neuromechanical modelling. The workshop seeks to foster collaboration among computer vision researchers, sports scientists, and health/social care practitioners. It will address real-world challenges in robust motion understanding, objective evaluation, and optimisation for sports and health.

Why BEST matters

Human movement is rich, dynamic, and increasingly measurable through video, wearable sensors, force plates, and clinical assessment. This workshop brings together experts interested in learning from these complementary modalities to build robust models for sports science and healthcare.

  • Bridging biomechanics and computer vision.
  • Advancing multimodal representation learning for movement.
  • Supporting real-world impact in athletic performance and rehabilitation.

Themes

  • Human Activity Recognition (HAR)
  • Human Pose Estimation
  • Biomechanics Multimodal Perception
  • Sports Analysis & Skill Assessment
  • Digital Health and Social care
  • Motion Analysis
  • Physiotherapy & Rehabilitation

Workshop goal

Create a collaborative forum for researchers to discuss methods, challenges, and opportunities at the intersection of movement science and machine intelligence.

Who should attend

Computer vision researchers, biomechanists, sports scientists, clinicians, and anyone working on human-centered sensing and behavior modeling.

Expected outcomes

A shared research agenda, new interdisciplinary collaborations, and a stronger community for multimodal movement understanding.