Eva Dorschky
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View article: SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation
SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation Open
Accurate real-time estimation of human movement dynamics, including internal joint moments and muscle forces, is essential for applications in clinical diagnostics and sports performance monitoring. Inertial measurement units (IMUs) provid…
View article: Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data
Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data Open
This paper presents a deep learning-enabled method for human pose estimation using radar target lists, obtained through a low-cost radar system with three transmitters and four receivers in a multiple-input multiple-output setup. We addres…
View article: Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions
Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions Open
Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical and sports applications. One possible approach is using a sparse inertial sensor setup, where sensors are not p…
View article: Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study
Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study Open
Advanced footwear technology featuring stack heights higher than 30 mm has been proven to improve running economy in elite and recreational runners. While it is understood that the physiological benefit is highly individual, the individual…
View article: Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations Open
Portable measurement systems using inertial sensors enable motion capture outside the lab, facilitating longitudinal and large-scale studies in natural environments. However, estimating 3D kinematics and kinetics from inertial data for a c…
View article: Step length and gait speed estimation using a hearing aid integrated accelerometer: A comparison of different algorithms
Step length and gait speed estimation using a hearing aid integrated accelerometer: A comparison of different algorithms Open
Gait is an indicator of a person’s health status and abnormal gait patterns are associated with a higher risk of falls, dementia, and mental health disorders. Wearable sensors facilitate long-term assessment of walking in the user’s home e…
View article: Step length and gait speed estimation using a hearing aid integrated accelerometer: A comparison of different algorithms
Step length and gait speed estimation using a hearing aid integrated accelerometer: A comparison of different algorithms Open
Gait is an indicator of a person’s health status and abnormal gait patterns are associated with a higher risk of falls, dementia, and mental health disorders. Wearable sensors facilitate long-term assessment of walking in the user’s home e…
View article: 3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation
3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation Open
This is the data belonging to the publication "Estimating 3D kinematics and kinetics from inertial sensor data through musculoskeletal movement simulations". This study investigated the feasibility and accuracy of reconstructing, especiall…
View article: 3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation
3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation Open
This is the data belonging to the publication "Estimating 3D kinematics and kinetics from inertial sensor data through musculoskeletal movement simulations". This study investigated the feasibility and accuracy of reconstructing, especiall…
View article: EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors Open
Wearable sensors are able to monitor physical health in a home environment and detect changes in gait patterns over time. To ensure long-term user engagement, wearable sensors need to be seamlessly integrated into the user’s daily life, su…
View article: Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions
Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions Open
Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical and sports applications. Previously, we developed an approach to estimate these variables from measurements wit…
View article: A Digital Twin to overcome long-time challenges in Photovoltaics
A Digital Twin to overcome long-time challenges in Photovoltaics Open
The recent successes of emerging photovoltaics (PV) such as organic and perovskite solar cells are largely driven by innovations in material science. However, closing the gap to commercialization still requires significant innovation to ma…
View article: Perspective on “in the wild” movement analysis using machine learning
Perspective on “in the wild” movement analysis using machine learning Open
Recent advances in wearable sensing and machine learning have created ample opportunities for "in the wild" movement analysis in sports, since the combination of both enables real-time feedback to be provided to athletes and coaches, as we…
View article: CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data
CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data Open
Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models is crucial to ensure that the model generalizes well to unseen data. However, the a…
View article: A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait
A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait Open
Whether humans minimize metabolic energy in gait is unknown. Gradient-based optimization could be used to predict gait without using walking data but requires a twice differentiable metabolic energy model. Therefore, the metabolic energy m…
View article: International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW)
International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) Open
European Network of Living Lab's effective member.Objectives 1.To develop an innovative solution that would enable healthrelated behaviour changes, increase motivation, promote physical activity and reduce prolonged sedentary time in users…