Topology of Surface Electromyogram Signals: Hand Gesture Decoding on Riemannian Manifolds

Topology of Surface Electromyography Signals: Decoding Hand Gestures Using Riemannian Manifolds This paper is authored by Harshavardhana T. Gowda (Department of Electrical and Computer Engineering, University of California, Davis) and Lee M. Miller (Center for Mind and Brain Sciences, Department of Neurophysiology and Behavior, Department of Otolar...

A User-Friendly Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Recorded by OPM-MEG

A User-Friendly Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Recorded by OPM-MEG

Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Background Brain-Computer Interface (BCI) technology allows users to control machines by decoding specific brain activity signals. While invasive BCIs excel in capturing high-quality brain signals, their application is mainly limited to clinical settings. Non-...

Thresholds and Mechanisms of Human Magnetophosphene Perception Induced by Low Frequency Sinusoidal Magnetic Fields

Threshold and Mechanisms of Magnetophosphene Perception Background The effect of Magnetic Fields (MF) on the human body has long been a hot topic in scientific research. Extremely Low-Frequency Magnetic Fields (ELF-MF) are widespread in daily life, primarily originating from power lines (50⁄60 Hz) and household appliances. These magnetic fields can...

Learning Inverse Kinematics Using Neural Computational Primitives on Neuromorphic Hardware

Learning Inverse Dynamics Using Brain-Inspired Computational Principles on Neuromorphic Hardware Background and Research Motivation In the modern field of robotics, there is great potential for low-latency neuromorphic processing systems enabling autonomous artificial agents. However, the variability and low precision of current hardware foundation...

Magneto-Oscillatory Localization for Small-Scale Robots

Detailed Explanation of a New Small-scale Magneto-oscillatory Localization Method and Its Application in Robotics Research Background and Motivation Micro-robots have demonstrated immense potential in the medical field, especially in minimally invasive surgeries, targeted drug delivery, and in vivo sensing. Recently, significant progress has been m...