Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A Dual-Functional Luminescent MOF Sensor for Phenylmethanol Molecule and Tb<sup>3+</sup> Cation.

Inorganic chemistry·2018

Same author

The Development and Test of a Sensor for Measurement of the Working Level of Gas-Liquid Two-Phase Flow in a Coalbed Methane Wellbore Annulus.

Sensors (Basel, Switzerland)·2018

Same author

A Thioflavin T-induced G-Quadruplex Fluorescent Biosensor for Target DNA Detection.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry·2018

Same author

A metal-organic framework derived hierarchical nickel-cobalt sulfide nanosheet array on Ni foam with enhanced electrochemical performance for supercapacitors.

Dalton transactions (Cambridge, England : 2003)·2018

Same author

Functional analysis of a type 2C protein phosphatase gene from Ammopiptanthus mongolicus.

Gene·2018

Same author

[Inversive LISS plate in treating intertrochanteric and subtrochanteric fractures combined with femoral shaft fractures].

Zhongguo gu shang = China journal of orthopaedics and traumatology·2018

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 16, 2025

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

RFID Backscatter Based Sport Motion Sensing Using ECOC-Based SVM.

Lei Han¹, Xia Hua¹

¹Department of Physical Education, China University of Petroleum (East China), Qingdao 266580, China.

Sensors (Basel, Switzerland)

|September 9, 2023

Summary

This summary is machine-generated.

This study introduces an RFID backscatter motion sensing scheme using received signal strength and a Support Vector Machine (SVM) for accurate multi-class action recognition, crucial for the Internet of Things.

Keywords:

backscatter motion sensing radio frequency identification support vector machine

More Related Videos

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Related Experiment Videos

Last Updated: Jul 16, 2025

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Area of Science:

* Computer Science
* Electrical Engineering
* Signal Processing

Background:

* Radio Frequency Identification (RFID) is a key technology for the Internet of Things (IoT) and Internet of Everything (IoE), especially in the 5G era.
* RFID-based motion sensing is an emerging research area with significant potential for various applications.
* Accurate classification of diverse motion poses remains a challenge in current sensing technologies.

Purpose of the Study:

* To propose a novel RFID backscatter scheme for sport motion sensing.
* To address the challenge of multi-classification for different action poses.
* To achieve high classification accuracy using machine learning techniques.

Main Methods:

* Utilized RFID backscatter technology to capture motion data.
* Employed Received Signal Strength (RSS) from backscattered RFID signals as a feature.
* Implemented an Error Correcting Output Coding (ECOC)-based Support Vector Machine (SVM) for multi-class classification.

Main Results:

* Collected signal intensities corresponding to various action poses.
* Demonstrated the effectiveness of the proposed scheme through extensive experiments.
* Achieved high classification accuracies for different sport motions using the SVM algorithm.

Conclusions:

* The proposed RFID backscatter scheme is effective for sport motion sensing.
* The combination of RSS and ECOC-based SVM provides a robust solution for multi-classification problems.
* This technology holds promise for advancing IoT and IoE applications through enhanced motion recognition.