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

Relative Motion Analysis - Acceleration

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...

You might also read

Related Articles

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

Sort by

Same author

BDNF and TNF-α, OCT and VF Parameters in Pituitary Macroadenoma Patients: A 12-Month Prospective Study.

International journal of molecular sciences·2026

Same author

Influence of Propolis-Containing Nonwoven PLGA Dressings on Dermatan and Chondroitin Sulfate Dynamics During Burn-Wound Healing.

Pharmaceuticals (Basel, Switzerland)·2026

Same author

Selected Serum Biomarkers in Patients with Relapsing-Remitting Multiple Sclerosis-A 3-Year Prospective Pilot Study.

Medical sciences (Basel, Switzerland)·2025

Same author

Three-Dimensional Printed Stimulating Hybrid Smart Bandage.

Sensors (Basel, Switzerland)·2025

Same author

The Relationship Between the Ganglion Cell-Inner Plexiform Layer, Retinal Nerve Fiber Layer, and Photopic Negative Response in Newly Diagnosed Pituitary Macroadenoma: 12-Month Prospective Follow-Up Study.

Cancers·2025

Same author

Corneal Cross-Linking for Pediatric Keratoconus.

Diagnostics (Basel, Switzerland)·2024

Search research articles

Related Experiment Video

Updated: Aug 16, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition.

Michał Pielka¹, Paweł Janik¹, Małgorzata A Janik¹

¹Faculty of Science and Technology, Institute of Biomedical Engineering, University of Silesia in Katowice, ul. Będzińska 39, 41-200 Sosnowiec, Poland.

Sensors (Basel, Switzerland)

|December 23, 2022

Summary

This summary is machine-generated.

This study introduces an adaptive algorithm for wearable hand movement sensors that significantly reduces data transmission via Wi-Fi. This method lowers network load and power consumption without compromising signal quality.

Keywords:

IoT MEMS hand MoCap transmission control algorithm wearable system wireless sensor

More Related Videos

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

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: Aug 16, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

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:

Biomedical Engineering
Computer Science
Electrical Engineering

Background:

Intelligent sensor systems often rely on radio data transmission.
Acquiring hand movement data with inertial sensors generates substantial data, potentially overloading networks.
Efficient network management is crucial for sensor systems integrated with data acquisition servers.

Purpose of the Study:

To develop a wearable solution for hand movement acquisition using Wi-Fi transmission.
To propose an adaptive algorithm for controlling radio data transmission to limit network traffic.
To reduce power consumption and data transfer volume without sacrificing signal quality.

Main Methods:

Implementation of a wearable system with 16 Micro Electro Mechanical System (MEMS) sensors.
Development and integration of an adaptive algorithm into the embedded system.
Algorithm controls frame length, transmission frame length, and sending frequency.

Main Results:

The adaptive algorithm reduced data transfer by up to 91.6%.
Power consumption of the sensor system decreased by up to 19.9%.
No statistically significant differences were found in signal quality compared to complete data transmission (p > 0.05).

Conclusions:

The proposed adaptive algorithm effectively manages network traffic for wearable sensor systems.
This approach significantly reduces data volume and power usage while maintaining high signal fidelity.
The solution is viable for real-time hand movement monitoring in integrated radio networks.