Sagi Giterman

Four AMTI BMS400600 force plates at Sawmill Sports Hub are being used to test a new soccer cleat aimed at cutting knee and ankle injuries. Short read from AMTI on the project and the WGN-TV coverage it got.

Qualisys launches Prisma Pose, a proprietary markerless skeletal tracking engine built directly into QTM - eliminating third-party software, unifying markerless output with force plate and EMG data, and giving biomechanics labs a complete markerless motion capture solution.

The walking you want to characterise often happens outside the camera volume. Xsens sets out what wearable inertial capture adds to gait research, how to evaluate a system, and where the accuracy numbers actually sit against optical reference.

A rehabilitation centre in Lyon runs a Qualisys gait lab alongside an immersive virtual environment, and uses both daily for treatment, rehabilitation and injury prevention. The team also uses the data to argue for routine musculoskeletal check-ups.

High-density surface EMG shows that children with Developmental Coordination Disorder use more fixed motor-unit firing strategies than typically developing peers. The authors propose it as a neuromuscular biomarker for DCD.

EMG reveals which hamstring muscles are recruited during common rehabilitation exercises, exposing asymmetries and compensations that help practitioners reduce injury risk and guide smarter program design.

EMG shows which muscles are active, how strongly they contribute and how those patterns change across exercises. Delsys explains how Trigno Analytics turns that into exercise selection and return-to-play decisions.

Luxembourg's SportFabrik used Qualisys motion capture, 16 force plates and integrated EMG to get professional basketball player Magaly Meynadier back to elite competition after a knee injury that nearly ended her career.

A closer look at how the Ariel Fischer Lab at the Technion – Israel Institute of Technology is using the AMTI Instrumented Treadmill for high-precision gait analysis and biomechanical research.

MANUS gloves are now natively integrated into NVIDIA Isaac Lab 2.3, enabling researchers and robotics teams to capture high-fidelity demonstration data for robot policy training through natural hand teleoperation inside simulation.

A practical guide to inertial motion capture for biomechanics research: capturing reliable 3D kinematics in the lab and in the field, choosing a system, and getting usable numbers out of the movement data.

Qualisys has launched OnTraq, a markerless analysis system that assesses a full roster of 20 athletes in about 30 minutes and produces repeatable functional data without a specialist operator.

Myoelectric-controlled lower limb prostheses use EMG signals to actuate movement, but assumptions about neural activation between residual and intact limbs may need revision. New research reveals that amputation alters motor unit properties in ways that directly impact prosthetic control models.

EMG pattern recognition translates muscle signals into prosthetic movements, enabling more natural limb function for patients with upper-limb deficiencies. Two recent studies demonstrate how input data quality and type significantly improve actuation accuracy in myoelectric prosthetics.

Electromyography-driven musculoskeletal models can track muscle fatigue in real-time, with applications in sports training, rehabilitation, and manual handling. This post explores a novel time-varying model (t-pEMS) that uses EMG data to estimate fatigue progression with person-specific accuracy.

EMG-guided Human Robot Collaboration (HRC) enables automated optimization of worker posture and joint torque in industrial settings, reducing muscle effort and improving ergonomics during high-effort tasks.

Delsys EMG systems measure asymmetry, fatigue, compensation and muscle inhibition in athletes, and feed that into return-to-play decisions.

Cardiff University researchers pair TMS with Delsys EMG during walking to see how the brain and spinal cord coordinate muscle activity in movement, with applications in fall prevention and rehabilitation.

EMG and ultrasound imaging in the same recording show how muscles activate and how they adapt mechanically. Delsys looks at what that opens up for personalised rehabilitation.

Human-in-the-loop methods using EMG biosignals and machine learning are transforming wearable robotics, enabling more personalized assistive devices that reduce muscle effort and device abandonment.

The Royal Melbourne Institute of Technology (RMIT) Uncrewed Aircraft Systems Research Team (RUASRT) set out to tackle a tough challenge: studying how kestrels master wind-hovering in turbulent conditions. Traditional tracking methods couldn’t provide the precise, high-speed kinematic data needed for Uncrewed Aerial Vehicle (UAV) stability research.