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

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.

You might also read

Related Articles

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

Sort by
Same author

The Effect of Stirrup Length on Impact Attenuation and Its Association With Muscle Strength.

Journal of strength and conditioning research·2020
Same author

Kinetic Analysis of Isometric Back Squats and Isometric Belt Squats.

Journal of strength and conditioning research·2018
Same author

VISUAL FEEDBACK ARRAY TO ACHIEVE REPRODUCIBLE LIMB DISPLACEMENTS AND VELOCITIES IN HUMANS.

Biomedical sciences instrumentation·2018
Same author

Localization of a moving target using a fly eye sensor.

Biomedical sciences instrumentation·2014
Same author

Effect of sensor-target-background distance on target tracking using a fly eye sensor.

Biomedical sciences instrumentation·2014
Same author

Results of target tracking with a Musca domestica inspired sensor.

Biomedical sciences instrumentation·2014

Related Experiment Video

Updated: May 20, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

Mapping and navigational control for a “smart” wheelchair.

Dana L Schultz1, Kathleen M Shea, Steven F Barrett

  • 1University of Wyoming.

Biomedical Sciences Instrumentation
|August 1, 2012
PubMed
Summary

Researchers are developing an affordable smart wheelchair control system. This system uses sensors and a touchscreen interface for autonomous navigation, offering a cost-effective alternative to current expensive models.

Area of Science:

  • Robotics and Artificial Intelligence
  • Assistive Technology
  • Biomedical Engineering

Background:

  • Traditional wheelchairs offer limited mobility for individuals with severe physical impairments.
  • Existing smart wheelchairs are often prohibitively expensive due to complex designs and flexibility.
  • There is a need for cost-effective and user-friendly autonomous mobility solutions.

Purpose of the Study:

  • To design and develop an affordable control system for smart wheelchairs.
  • To enable autonomous navigation and obstacle avoidance for powered wheelchairs.
  • To create a user-friendly interface for enhanced wheelchair control.

Main Methods:

  • Developing an alternative control system interfaced with a standard powered wheelchair.

More Related Videos

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

Related Experiment Videos

Last Updated: May 20, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

  • Integrating eighteen sensors for environmental data acquisition.
  • Utilizing a micro SD card for storing pre-programmed maps and navigation data.
  • Implementing a touchscreen LCD for user interaction and control.
  • Main Results:

    • The developed system successfully acquires sensor data for navigation.
    • The control system is capable of navigating a mapped environment while avoiding obstacles.
    • A functional touchscreen user interface has been implemented.
    • The system demonstrates potential as a cost-effective smart wheelchair solution.

    Conclusions:

    • The research presents a viable, low-cost smart wheelchair control system.
    • The designed system offers autonomous navigation capabilities.
    • This technology has the potential to significantly improve mobility and independence for users.