A5089345138- Balance, Gait, and Falls Prevention
- Prosthetics and Rehabilitation Robotics
- Lower Extremity Biomechanics and Pathologies
- Non-Invasive Vital Sign Monitoring
- Sports Performance and Training
- Muscle activation and electromyography studies
- Gait Recognition and Analysis
- Inertial Sensor and Navigation
- Winter Sports Injuries and Performance
- Statistical and numerical algorithms
- Scoliosis diagnosis and treatment
- Robotics and Sensor-Based Localization
- Advanced SAR Imaging Techniques
- Hand Gesture Recognition Systems
- Sports Dynamics and Biomechanics
- Infrared Thermography in Medicine
- Microwave Imaging and Scattering Analysis
- Software System Performance and Reliability
- Diabetes and associated disorders
- solar cell performance optimization
- Diabetes Management and Research
- Gaze Tracking and Assistive Technology
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Cardiovascular and exercise physiology
- Advanced Measurement and Metrology Techniques
Friedrich-Alexander-Universität Erlangen-Nürnberg
2016-2025
Bayer (Germany)
2024
Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models crucial ensure that the model generalizes well unseen However, acquisition of sufficient data time-consuming and often infeasible. We present method create realistic inertial with corresponding biomechanical variables by 2D walking running simulations. augmented measured simulated convolutional neural networks estimate sagittal plane...
Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical sports applications. One possible approach using a sparse inertial sensor setup, where sensors are not placed on all relevant body segments. Here, we investigated if can be estimated similarly accurate from setups as full lower-body setup. We by solving optimal control problems sagittal plane musculoskeletal models, in which minimized an objective that combined...
Wearable sensors are able to monitor physical health in a home environment and detect changes gait patterns over time. To ensure long-term user engagement, wearable need be seamlessly integrated into the user’s daily life, such as hearing aids or earbuds. Therefore, we present EarGait, an open-source Python toolbox for analysis using inertial aids. This work contributes validation event detection algorithms estimation of temporal parameters ear-worn sensors. We perform comparative two based...
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 kinetics from data for a comprehensive biomechanical movement analysis is still challenging. Machine learning models or stepwise approaches performing Kalman filtering, inverse kinematics, dynamics can lead to inconsistencies between kinetics. We investigated reconstruction of arbitrary running...
Whether humans minimize metabolic energy in gait is unknown. Gradient-based optimization could be used to predict without using walking data but requires a twice differentiable model. Therefore, the model of Umberger et al. ( 2003 ) was adapted differentiable. Predictive simulations reaching task and were solved this continuous by minimizing effort. The simulation showed that minimization predicts unrealistic movements when compared effort minimization. predictive objectives other than are...
Trajectory optimization with musculoskeletal models can be used to reconstruct measured movements and predict changes in response environmental changes. It enables an exhaustive analysis of joint angles, moments, ground reaction forces, muscle among others. However, its application is still limited simplified problems two dimensional space or straight motions. The simulation directional changes, e.g. curved running, requires detailed three which lead a high-dimensional solution space. We...
Recent advances in wearable sensing and machine learning have created ample opportunities for "in the wild" movement analysis sports, since combination of both enables real-time feedback to be provided athletes coaches, as well long-term monitoring movements. The potential is useful performance enhancement or technique analysis, can achieved by training efficient models implementing them on dedicated hardware. Long-term used injury prevention, among others. Such applications are often...
The correct treatment of diabetes is vital to a patient's health: Staying within defined blood glucose levels prevents dangerous short- and long-term effects on the body. Mobile devices informing patients about their future could enable them take counter-measures prevent hypo or hyper periods. Previous work addressed this challenge by predicting using regression models. However, these approaches required physiological model, representing human body's response insulin intake, are not directly...
Testing sports equipment with athletes is costly, time-consuming, hazardous and sometimes impracticable. We propose a method for virtual testing of running shoes predict how midsoles made BOOSTTM affect energy cost running. contribute visco-elastic contact model identified parameters based on load-displacement measurements. study using optimal control simulation musculoskeletal models. The predicted reduction in ∼1% comparison to conventional materials consistent experimental studies. This...
Gait is an indicator of a person's health status and abnormal gait patterns are associated with higher risk falls, dementia, mental disorders. Wearable sensors facilitate long-term assessment walking in the user's home environment. Earables, wearable that worn at ear, gaining popularity for digital assessments because they unobtrusive can easily be integrated into daily routine, example, hearing aids. A comprehensive analysis pipeline ear-worn accelerometer includes spatial-temporal...
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 highly individual, individual biomechanical response different remains unclear. Thirty-one runners performed trials with three shoe conditions of 25 mm, 35 45 height on an outdoor course wearing a STRYD sensor. The variables for each participant were normalized condition used cluster...
Visually impaired people find navigating within unfamiliar environments challenging. Many smart systems have been proposed to help blind in these difficult, often dangerous, situations. However, some of them are uncomfortable, difficult obtain or simply too expensive. In this paper, a low-cost wearable system for visually was implemented which allows detect and locate obstacles their locality. The consists two main hardware components, laser pointer ($12) an android phone, making our...
Abstract Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical sports applications. Previously, we developed an approach estimate these from measurements seven lower-body inertial sensors, i.e., full setup, using optimal control simulations. Here, investigated if this similarly accurate when sparse sensor setups less sensors. To variables, solved problems on sagittal plane musculoskeletal models, in which objective was...
Inertial measurement units (IMUs) are used for inertial motion tracking (IMT) in a growing number of applications as sensor fusion methods being advanced three directions: magnetometer-free IMT that eliminate the effect magnetic disturbances; sparse approaches lead to reduced setup complexity; and automatic self-calibration sensor-to-segment positions or orientations. In this letter, we propose an approach combines all achievements and, first time, enables plug-and-play, magnetometer-free,...
A considerable number of wearable system applications necessitate early event detection (EED). EED is defined as the an with much lead time possible. Applications include physiological (e.g., epileptic seizure or heart stroke) biomechanical fall movement sports event) monitoring systems. for systems under-investigated in literature. Therefore, we introduce a novel framework based on hybrid Hidden Markov Models. Our study specifically targets inertial measurement unit (IMU) signals sports. We...
The possibilities for wearable health care technology to improve the quality of life chronic disease patients has been increasing within recent years. For instance, unobtrusive cardiac monitoring can be applied people suffering from a disorder autonomic nervous system (ANS) which show significantly lower heart rate variability (HRV) than healthy people. Although work presented solutions analyze this relationship, they did not perform it during daily situations. that reason, presents...
<p>Abstract: Gait is an indicator of a person’s health status and abnormal gait patterns are associated with higher risk falls, dementia, mental disorders. Wearable sensors facilitate long-term assessment walking in the user’s home environment. Earables, wearable that worn at ear, gaining popularity for digital assessments because they unobtrusive can easily be integrated into daily routine, example, hearing aids. A comprehensive analysis pipeline ear-worn accelerometer includes...
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, thanks to persuasive ubiquitous computing techniques.2. To be validated by SPORTIS Lab.Following aim involve society the innovation process, ObesiTIC will end-users (children teenagers) combined with development application final product, order suit...
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 match contradicting requirements performance, longevity recyclability. rate innovation, today, is limited a lack design principles linking chemical motifs functional microscopic structures, an incapacity experimentally access structures from investigating...
<p>Abstract: Gait is an indicator of a person’s health status and abnormal gait patterns are associated with higher risk falls, dementia, mental disorders. Wearable sensors facilitate long-term assessment walking in the user’s home environment. Earables, wearable that worn at ear, gaining popularity for digital assessments because they unobtrusive can easily be integrated into daily routine, example, hearing aids. A comprehensive analysis pipeline ear-worn accelerometer includes...