Brain–machine interfaces (BMIs) are promising devices that can be used as neuroprostheses by severely disabled individuals. Brain surface electroencephalograms (electrocorticograms, ECoGs) can provide input signals that can then be decoded to enable communication with others and to control intelligent prostheses and home electronics. However, conventional systems use wired ECoG recordings. Therefore, the development of wireless … Read More “JournalClub: A Fully Implantable Wireless ECoG 128Channel Recording Device for Human Brain–Machine Interfaces” »
Author: jannis
JournalClub: Navigating features: a topologically informed chart of electromyographic features space
The success of biological signal pattern recognition depends crucially on the selection of relevant features. Across signal and imaging modalities, a large number of features have been proposed, leading to feature redundancy and the need for optimal feature set identification. A further complication is that, due to the inherent biological variability, even the same classification … Read More “JournalClub: Navigating features: a topologically informed chart of electromyographic features space” »
Presented on 30.09.2020 by Sebastian Doliwa
Humans shape their hands to grasp, manipulate objects, and to communicate. From nonhuman primate studies, we know that visual and motor properties for grasps can be derived from cells in the posterior parietal cortex (PPC). Are non-grasp-related hand shapes in humans represented similarly? Here we show for the first time how single neurons in the … Read More “JournalClub: Hand Shape Representations in the Human Posterior Parietal Cortex” »
In this paper we present a system for catching a flying ball with a robot arm using off-the-shelf components (PC based system) for visual tracking. The ball is ob- served by a large baseline stereo camera, comparing each image to a slowly adapting reference image. We track and predict the target position using an Extended … Read More “JournalClub: Off-the-Shelf Vision for a Robotic Ball Catcher” »
This report describes a mathematical framework based on screw theory to solve the kine- matics and dynamics of an arbitrary open chain manipulator. The configuration of two specific manipulators is described in this framework as an example. For one of the manipulators, a anthropomorphic 7 DoF arm, a closed form solution of the inverse kinematics … Read More “JournalClub: Mathematical Framework for Arbitrary Open Chain Manipulators” »
In statistics and control theory, Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a … Read More “JournalClub: An Introduction to Kalman Filter” »
The continuous control of rehabilitation robots based on surface electromyography (sEMG) isa natural control strategy that can ensure human safety and ease the discomfort of human-machine coupling.However, current models for estimating movement of the upper limb focus on two dimensions movement,and models of three dimensions movement are too complex. In this paper, a simple-structure temporalinformation-based … Read More “JournalClub: A Continuous Estimation Model of Upper Limb Joint Angles by Using Surface Electromyography and Deep Learning Method” »
Artificial neural networks are universal function approximators. They can forecast dynamics, but they may need impractically many neurons to do so, especially if the dynamics is chaotic. We use neural networks that incorporate Hamiltonian dynamics to efficiently learn phase space orbits even as nonlinear systems transition from order to chaos. We demonstrate Hamiltonian neural networks … Read More “JournalClub: Physics-enhanced neural networks learn order and chaos” »
Visualisation-animation of BSTs, B-Trees and Red-Black-Trees. A modified version of David Galles’ visualisation of BSTs, B-Trees and Red-Black-Trees tree-visualisation A modification of David Galles’ visualisation of BSTs, B-Trees and Red-Black-Trees. Manual Insert: Enter one or more numbers between 0 and 999. Separate them with your favorite non-digit character sequence. Press Insert. Delete: Enter a number. … Read More “Algorithms – Visualisation” »