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

Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
Kinematic Equations - II01:17

Kinematic Equations - II

The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
Kinematic Equations - I01:26

Kinematic Equations - I

When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
Kinematic Equations - III01:18

Kinematic Equations - III

The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
Movement Joints in Buildings01:27

Movement Joints in Buildings

Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
The simplest type of movement joints, working joints, are...
Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...

You might also read

Related Articles

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

Sort by
Same author

The impact of the low number of records when selecting for uniformity: a simulation study of birth weight in guinea pigs.

Animal : an international journal of animal bioscience·2026
Same author

Pollinators support the nutrition and income of vulnerable communities.

Nature·2026
Same author

Arthroscopic Osteochondral Autograft Transplantation (OAT) in Patients with Focal Osteochondral/Chondral Lesions of the Knee Mid-Term Clinical Outcome.

Malaysian orthopaedic journal·2025
Same author

Ecological impacts of agrochemical and pharmaceutical antifungals on a non-target aquatic host-parasite model.

Aquatic toxicology (Amsterdam, Netherlands)·2025
Same author

Real-world outcomes with durvalumab after chemoradiotherapy in patients with unresectable stage III NSCLC: interim analysis of overall survival from PACIFIC-R.

ESMO open·2024
Same author

Intra-abdominal Inflammatory Myofibroblastic Tumour (IMFT)-Uncommon Entity.

Indian journal of surgical oncology·2024
Same journal

News and Product Update.

Journal of medical engineering & technology·2026
Same journal

PMMA based ultra miniaturized implantable antenna for biotelemetry applications.

Journal of medical engineering & technology·2026
Same journal

Comparative machine learning for accurate EEG-based epileptic seizure state classification using sub-band analysis.

Journal of medical engineering & technology·2026
Same journal

Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

Journal of medical engineering & technology·2026
Same journal

Power transition signatures of vibroarthrographic spectrograms for diagnosing knee joint pathologies.

Journal of medical engineering & technology·2026
Same journal

News and product update.

Journal of medical engineering & technology·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Kinematics-coordinated walking pattern based on embedded controls.

S Mishra1, D Joshi, R Ribeiro

  • 1Department of Biomedical Engineering, Manipal Institute of Technology, Manipal University, 576104, India. sourav.mishra@learner.manipal.edu

Journal of Medical Engineering & Technology
|May 21, 2010
PubMed
Summary
This summary is machine-generated.

This study explores adaptive movements for above-knee prosthetics using embedded 8051-class microcontrollers (MCUs). An integrated goniometer enables kinematic coordination for a more natural prosthetic gait.

Related Experiment Videos

Last Updated: Jun 12, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Area of Science:

  • Biomedical Engineering
  • Robotics
  • Prosthetics and Orthotics

Background:

  • Existing above-knee prosthetics utilize repetitive, fixed knee movements.
  • There is a need for adaptive prosthetic limbs that mimic natural gait.
  • Current prosthetic technology has limitations in providing dynamic joint motion.

Purpose of the Study:

  • To investigate the feasibility of implementing adaptive movement control in existing electromechanical above-knee prosthetics.
  • To develop an echo-controlled system for enhanced prosthetic limb coordination.
  • To utilize embedded 8051-class microcontroller units (MCUs) for adaptive prosthetic functionality.

Main Methods:

  • Integration of an 8051-class 8-bit microcontroller unit (MCU) for embedded control.
  • Incorporation of an integrated goniometer to measure the sound limb's knee angle.
  • Processing of phase delay data for kinematic coordination of the prosthetic limb.

Main Results:

  • Demonstrated the viability of adaptive movement control in electromechanical prosthetics.
  • Successfully implemented an echo-controlled system for prosthetic limb coordination.
  • Developed a method for kinematic synchronization using real-time knee angle data.

Conclusions:

  • Adaptive movement control is achievable in existing above-knee prosthetic prototypes.
  • Embedded MCUs and goniometer-based feedback can enable sophisticated prosthetic limb coordination.
  • This approach offers a pathway towards more natural and responsive prosthetic gait.