Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

403
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
403
Gyroscope01:02

Gyroscope

4.1K
A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
4.1K
Gyroscope: Precession01:24

Gyroscope: Precession

5.4K
Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
5.4K
Biodiversity and Human Values01:24

Biodiversity and Human Values

16.6K
Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
16.6K
Sensory Modalities01:15

Sensory Modalities

3.8K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
3.8K
Machines01:19

Machines

563
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
563

You might also read

Related Articles

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

Sort by
Same author

The Usefulness of Trabecular CT Attenuation Measurement at L4 Level to Predict Screw Loosening After Degenerative Lumbar Fusion Surgery: Consider Number of Fused Levels and Postoperative Sagittal Balance.

Spine·2022
Same author

Automatic cell counting from stimulated Raman imaging using deep learning.

PloS one·2021
Same author

Pharmacological strategies to prevent haemodynamic changes after intubation in parturient women with hypertensive disorders of pregnancy: A network meta-analysis.

International journal of medical sciences·2021
Same author

Thermal Impedance Characterization Using Optical Measurement Assisted by Multi-Physics Simulation for Multi-Chip SiC MOSFET Module.

Micromachines·2020
Same author

Usefulness of Trabecular CT Attenuation Measurement of Lumbar Spine in Predicting Osteoporotic Compression Fracture: Is the L4 Trabecular Region of Interest Most Relevant?

Spine·2020
Same author

Evaluation of Cumulative and Conditional Antibiotic Release from Vancomycin-Embedded Fibrin Sealant and Its Antibacterial Activity : An In Vitro Study.

Journal of Korean Neurosurgical Society·2020

Related Experiment Video

Updated: Jan 23, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Gyroscope-Based Continuous Human Hand Gesture Recognition for Multi-Modal Wearable Input Device for Human Machine

Hobeom Han1, Sang Won Yoon2

  • 1Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea. lucizn@icloud.com.

Sensors (Basel, Switzerland)
|June 15, 2019
PubMed
Summary

This study introduces a multi-modal input device using a wearable gyroscope for gesture recognition. It significantly reduces gesture complexity by adapting to running applications, achieving high accuracy.

Keywords:
continuous gesture recognitiongyroscopehand gesturemulti-modal input devicesunified wearable input devices

More Related Videos

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.2K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

1.2K

Related Experiment Videos

Last Updated: Jan 23, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.2K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

1.2K

Area of Science:

  • Human-Computer Interaction
  • Wearable Technology
  • Signal Processing

Background:

  • Hand gestures are common human-machine interface inputs but struggle with complex intentions.
  • Existing gesture systems require numerous distinct gestures, increasing user cognitive load.

Purpose of the Study:

  • To develop a multi-modal input device that reduces hand gesture complexity.
  • To enhance gesture recognition by adapting to the active application and user preferences.

Main Methods:

  • Utilized a miniature wireless three-axis gyroscope as a wearable sensor.
  • Employed correlation analysis with normalized covariance for continuous gesture recognition.
  • Incorporated gesture patterns, signal strength, and a learning mode to improve accuracy.

Main Results:

  • Six unit hand gestures effectively replaced multiple input devices.
  • The system demonstrated high recognition accuracy (90-96%) across three applications.
  • Accuracy reached 100% with user familiarization and system learning.

Conclusions:

  • The proposed multi-modal system offers a unified solution for human-machine interaction.
  • Adaptive gesture recognition based on application context and user learning is highly effective.
  • This approach significantly simplifies gesture-based control for complex tasks.