Amanote Research

Amanote Research

    RegisterSign In

Accelerometer Based Gesture Recognition Using Fusion Features and SVM

Journal of Software
doi 10.4304/jsw.6.6.1042-1049
Full Text
Open PDF
Abstract

Available in full text

Date

June 3, 2011

Authors
Zhenyu He
Publisher

International Academy Publishing (IAP)


Related search

Recognition of Static Hand Gesture With Using ANN and SVM

DÜMF Mühendislik Dergisi
2019English

Human Activity Recognition Using Accelerometer Data With Multi Class SVM

International Journal of Engineering Applied Sciences and Technology
2019English

Hand Gesture Recognition Using Appearance Features Based on 3D Point Cloud

Journal of Software Engineering and Applications
2016English

Real Time Hand Gesture Recognition for Bangla Character Using SVM Classifier

International Journal of Computer Applications
2018English

Loose Hand Gesture Recognition Based on Relational Features Using a Depth Sensor

International Journal of Future Computer and Communication
2018English

EEG Based Emotion Recognition Using SVM and LibSVM

International Journal of Computer Applications
2019English

Depth Based Sign Language Recognition System Using SVM

International Journal of Multimedia and Ubiquitous Engineering
Computer Science
2015English

Robust Spectral Features for Emotion Recognition Using GMM and SVM With PCA

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Ensemble One-Vs-One SVM Classifier for Smartphone Accelerometer Activity Recognition

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy