Amanote Research

Amanote Research

    RegisterSign In

SEMG Based Intention Identification of Complex Hand Motion Using Nonlinear Time Series Analysis

doi 10.1109/icist.2019.8836817
Full Text
Open PDF
Abstract

Available in full text

Date

August 1, 2019

Authors
Yaxu XueZhaojie Ju
Publisher

IEEE


Related search

Measurement of sEMG and Hand Motion Identification for Hand Rehabilitation Equipment Development

Journal of the Japan Society of Applied Electromagnetics and Mechanics
2019English

Motion Intention Estimation of Lower Limbs Based on sEMG Supplement With Acceleration Signal

2015English

Nonlinear Time Series Analysis

2010English

Nonlinear Time Series Analysis

English

Time Series Modeling of Surface EMG Based Hand Manipulation Identification via Expectation Maximization Algorithm

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2015English

Nonlinear Time Series Analysis of Geomagnetic Pulsations

Nonlinear Processes in Geophysics
PetrologyNonlinear PhysicsGeochemistryGeophysicsStatistical
1994English

Identification Environment and Robust Forecasting for Nonlinear Time Series

Computational Economics
Computer Science ApplicationsEconomicsEconometricsFinance
1994English

Real-Time Motion-Based Hand Gestures Recognition From Time-Of-Flight Video

Journal of Signal Processing Systems
ControlSystems EngineeringInformation SystemsSignal ProcessingSimulationHardwareArchitectureModelingTheoretical Computer Science
2015English

Estimation of User’s Motion Intention of Hand Based on Both EMG and EEG Signals

2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy