Attribute-Driven Granular Model for EMG-Based Pinch and Fingertip Force Grand Recognition

IEEE Transactions on Cybernetics - United States
doi 10.1109/tcyb.2019.2931142
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

EMG-to-force Estimation With Full-Scale Physiology Based Muscle Model

2009English

The Research of Trusted Attribute Based on Model-Driven of MDA

Open Electrical and Electronic Engineering Journal
Electronic EngineeringElectrical
2014English

A Solvable Model for Gravity Driven Granular Dynamics

Dynamical Systems
MathematicsComputer Science Applications
2005English

Spatial Artifact Detection for Multi-Channel EMG-based Speech Recognition

2014English

Electromyogram (EMG) Driven System Based Virtual Reality for Prosthetic and Rehabilitation Devices

2009English

Modeling Coarticulation in EMG-based Continuous Speech Recognition

Speech Communication
LinguisticsPattern RecognitionLanguageCommunicationSimulationComputer VisionComputer Science ApplicationsModelingSoftware
2010English

A Three-Axis Force Fingertip Sensor Based on Fiber Bragg Grating

Sensors and Actuators, A: Physical
SurfacesElectronic EngineeringAlloysCondensed Matter PhysicsInstrumentationMetalsOpticalElectricalMagnetic MaterialsFilmsCoatingsElectronic
2016English

Multi-Length Windowed Feature Selection for Surface EMG Based Hand Motion Recognition

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

A New Attribute Decision Making Model Based on Attribute Importance

Technology and Investment
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy