Search research articles

Related Concept Videos

Electrochemical Systems

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...

Microbial Biosensors

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

You might also read

Related Articles

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

Sort by

Same author

On opportunities and challenges of large multimodal foundation models in education.

NPJ science of learning·2025

Same author

Neural in-memory checksums: an error detection and correction technique for safe in-memory inference.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2025

Same author

High-Throughput Polar Code Decoders with Information Bottleneck Quantization.

Entropy (Basel, Switzerland)·2024

Same author

A refined approach for evaluating small datasets via binary classification using machine learning.

PloS one·2024

Same author

First demonstration of in-memory computing crossbar using multi-level Cell FeFET.

Nature communications·2023

Same author

The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop.

Sensors (Basel, Switzerland)·2023

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

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

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

A Tactile Automated Passive-Finger Stimulator TAPS

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

Smart Sensors for Augmented Electrical Experiments.

Sebastian Kapp¹, Frederik Lauer², Fabian Beil¹

¹Physics Education Research Group, Department of Physics, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.

Sensors (Basel, Switzerland)

|January 11, 2022

Summary

This summary is machine-generated.

A new smart sensor system enhances augmented reality (AR) for science, technology, engineering, and mathematics (STEM) electrical circuit experiments. This system provides accurate measurements and a highly usable AR learning experience for students.

Keywords:

STEM education augmented reality laboratory instruction smart sensors

More Related Videos

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Related Experiment Videos

Last Updated: Jun 27, 2026

A Tactile Automated Passive-Finger Stimulator TAPS

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Area of Science:

Educational Technology
Electrical Engineering
Human-Computer Interaction

Background:

Augmented reality (AR) is increasingly used in educational labs, necessitating advanced sensor systems for real-world data capture.
Existing systems often lack comprehensive environmental and experimental data integration for immersive learning.
Intelligent sensor systems are crucial for capturing electrical circuit parameters and spatial context in AR educational settings.

Purpose of the Study:

To develop and evaluate an intelligent sensor system for augmented reality-based electrical circuit experiments.
To integrate real-time electrical measurements (voltage, current) and spatial data within an AR environment.
To assess the system's accuracy, precision, and usability for STEM education.

Main Methods:

Development of custom sensor boxes and cables for measuring electrical properties and component positions.
Integration with Microsoft HoloLens 2 for creating an AR experiment environment.
Evaluation of sensor accuracy/precision and a usability study with 20 high school students.

Main Results:

The sensor system accurately captures voltage, current, circuit configuration, and component placement.
The AR application provides spatially and temporally coherent visualization of real-time measurement data.
The system achieved a high System Usability Scale score of 94/100 in a student evaluation.

Conclusions:

The developed smart sensor system effectively supports AR-enhanced electrical circuit education.
The system aligns with multimedia learning theories by integrating virtual data with physical experiments.
High usability ratings indicate strong potential for adoption in STEM laboratory settings.