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09/09/2023
Advancements in Upper Body Exoskeleton: Implementing Active Gravity Compensation with a Feedforward Controller
In this study, we present a feedforward control system designed for acti...
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08/01/2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes
To gain a deeper understanding of the behavior and learning dynamics of ...
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03/30/2023
Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting
Objective. Research on brain-computer interfaces (BCIs) is advancing tow...
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12/29/2022
Invariance to Quantile Selection in Distributional Continuous Control
In recent years distributional reinforcement learning has produced many ...
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06/21/2022
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces
Objective: Electroencephalography (EEG) and electromyography (EMG) are t...
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01/27/2022
From Motion to Muscle
Voluntary human motion is the product of muscle activity that results fr...
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12/30/2021
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification
Accurate decoding of surface electromyography (sEMG) is pivotal for musc...
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06/30/2021
Biologically Inspired Model for Timed Motion in Robotic Systems
The goal of this work is the development of a motion model for sequentia...
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11/30/2020