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Applied Sports Workshop – Using Force & EMG in Athlete Assessment

Date & Time:

2 October
Venue:

University Academy 92, Manchester

This workshop is being held ahead of the Sportsmith Speed Training Conference: The Evolution of Multidirectional Speed Conference in Manchester and will conclude before the Sportsmith pre-conference workshop, allowing attendees to attend both events should they wish.

Overview

Force assessment and electromyography (EMG) provide complementary insights into athlete performance and rehabilitation, making them valuable tools for practitioners seeking a more comprehensive understanding of movement and neuromuscular function. Whilst force assessment has become a cornerstone of testing in applied sport, interest in EMG continues to grow as practitioners look to better understand the neuromuscular strategies underpinning movement and force production. Together, these technologies can support athlete assessment, performance monitoring and rehabilitation.

Despite this growing interest, many practitioners are still exploring how force assessment and EMG can be incorporated into existing testing protocols in a practical and meaningful way. This workshop aims to bridge that gap through practical demonstrations and real-world case studies, showcasing how practitioners are applying these technologies to answer performance and rehabilitation questions in elite sport. In this workshop we will:

  • Hear directly from practitioners using force assessment and EMG in elite sport.
  • Explore real-world case studies covering performance testing, rehabilitation and return-to-play.
  • Observe live demonstrations of practical athlete assessments using force and EMG technologies.
  • Discuss real-world implementation, practical challenges and best practice with clinicians, sports scientists and performance practitioners.
  • Learn how practitioners design testing protocols, interpret results and apply findings to performance and rehabilitation.
  • Network with practitioners and technology specialists working across elite sport.

Proposed Program

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From Sensing to Assistance: Real-Time AI and Exoskeletons for Managing Upper-Limb Muscle Fatigue

Muscle fatigue is a key contributor to musculoskeletal disorders and reduced effectiveness of assistive technologies. This talk presents an integrated approach to detecting and mitigating upper-limb fatigue using wearable sensing, AI, and exoskeletons. First, we introduce a real-time system that estimates biceps fatigue using IMU sensors and LSTM regression, enabling continuous, non-invasive monitoring during dynamic tasks. We then present a study showing how a soft exoskeleton can reduce muscle activation and perceived workload in prosthesis users. Together, these works demonstrate a pathway toward closed-loop, fatigue-aware assistive systems that enhance performance, safety, and long-term user wellbeing.

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Multi‑Scale Motion Capture from Millimetres to Metres: Magnetomyography, Electromyography, Wearables, and Radar

This talk explores multi-length measurement of human movement, from millimetres to metres. Magnetomyography captures fine muscle mechanics, electromyography measures centimetre-scale activation patterns, and wearables and radar track whole-body motion. Integrating these scales enables richer, continuous understanding of function, rehabilitation, and behaviour across laboratory, clinic, and real-world environments.

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How BruBotics advances human-centered technology for sustainable, efficient, and adaptive industrial environments.

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To still boldly go, and stay: how sEMG shapes our understanding of soft exosuits for human augmentation and rehabilitation in Space and on Earth

Understanding and augmenting human movement across extreme and everyday environments requires both precise sensing and adaptive technologies. This talk presents how high-fidelity electromyography (EMG) enables the study and development of soft exosuits for human augmentation and rehabilitation in space and on Earth. We first show how EMG was used to characterise neuromuscular adaptations during walking in simulated hypogravity, demonstrating that a resistive soft exosuit can restore Earth-like muscle activation patterns. We then explore assistive exosuits integrated within analogue spacesuits, where EMG provides insight into human–robot interaction and guides designs that reduce physiological effort. Finally, we introduce ongoing work using EMG and inertial sensing within a federated learning framework to recognise in-home activities and deliver adaptive, personalised assistance. Together, this work highlights the central role of EMG in linking physiological understanding with intelligent control, enabling soft wearable systems that transition from measurement tools to real-world assistive technologies.

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Soft Robotics for rehabilitation and training

While the recent surge in computational power has enabled artificial agents to understand and respond to human inputs, the level of physical interaction between humans and these agents remains limited. Such deep physical interaction is considered essential for the development of an AI that truly understands human needs and provides assistance to enhance daily life. To bridge this gap, soft and wearable robots can serve as embodiments that facilitate physical communication between humans, AI, and the environment by leveraging their biocompatibility and biomimetic properties. In this talk, I will discuss research from the Oxford Healthcare Biorobotics Lab aimed at investigating how flexible, adaptive soft robotic devices, EMG-based controllers, and embodied haptics can enhance rehabilitation and training within neurological disorders and sports medicine settings.

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Meaning in Motion: Designing Understandable and Expressive Robot Gestures

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Speakers

Prof. Carlos Cifuentes

Associate Professor at Bristol Robotics Laboratory, School of Engineering, CATE, University of the West of England

Prof. Liang He

Associate Professor with the Department of Engineering Science, University of Oxford and an Official Fellow at Kellogg College

Dr. Mayumi Mohan

Research Scientist at Haptic Intelligence Department, Max Planck Institute for Intelligent Systems

Prof. Kia Nazarpour

Professor of Digital Health at the University of Edinburgh and co-founder and Chief Strategy Officer at Neuranics

Dr. Emanuele Pulvirenti

Research Associate at Bristol Robotics Laboratory, University of Bristol

Ir. Ing. Tom Turcksin | Maxim Yudayev

Lab Manager at AugmentX Laboratory, BruBotics, VUB
PhD Researcher at KU Leuven

Co-organizer & Workshop Leaders

Giacinto Barresi

Professor at the Bristol Robotics Laboratory, School of Engineering, CATE, University of the West of England

Monique McLaughlin

Key Account Manager at Delsys Europe

Dr. Oluwarotimi Samuel

Senior Lecturer and Lead of the Digital Rehabilitation and Immersive Technologies Research Group, University of Derby

Rosalie de Zeeuw

Product Specialist at Xsens

Registration

University Academy 92

University Academy 92, Brian Statham Way, Old Trafford
Stretford, Manchester M16 0PU United Kingdom