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Are you interested in helping us improve our human gait simulations? We use these simulations to predict the effect of interventions like prostheses and exoskeletons, and to perform detailed biomechanical movement analysis from wearable sensor data. We are looking for a student to investigate the op...
Despite involving many joints and degrees of freedom, human movement is remarkably smooth, effortless and energy efficient. This is due to the fact that instead of managing each joint or muscle independently, the central nervous system (CNS) coordinates them in functional groups, reducing the dimens...
Are you interested in helping us improve our human gait simulations? We use these simulations to predict the effect of interventions like prostheses and exoskeletons, and to perform detailed biomechanical movement analysis from wearable sensor data. We are looking for a student to investigate the op...
Problem: Aktuelle Microcontroller-Evaluierungs- und Entwicklerboards eignen sich nur bedingt, um verschiedenste KI-Methoden – zum Beispiel tiefe neuronale Netze – plattform- und herstellerübergreifend zu testen. EdgeVolution, eine Plattform zur Suche neuer neuronaler Architekturen für Edge-KI auf Ba...
Are you interested in helping us improve our human gait simulations? We use these simulations to predict the effect of interventions like prostheses and exoskeletons, and to perform detailed biomechanical movement analysis from wearable sensor data. We are looking for a student to investigate the op...
Upper-limb motion is mechanically complex, yet the nervous system performs these movements with effortless coordination. To understand this behavior and enable human-like control in robotics or neurorehabilitation, upper-limb movement datasets are essential. One of the interesting dataset available ...
