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

Introduction to Test of Independence01:21

Introduction to Test of Independence

3.0K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
3.0K
Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

8.2K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
8.2K
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K
Law of Independent Assortment02:03

Law of Independent Assortment

62.8K
While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
62.8K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

606
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
606
Independent and Dependent Sources01:18

Independent and Dependent Sources

2.6K
In electrical circuits, sources play a crucial role in providing power for the operation of the circuit. These sources can be broadly categorized into two types: independent and dependent.
Independent voltage or current sources supply a fixed amount of voltage or current, respectively, which is unaffected by other elements within the circuit. These are represented using specific symbols. Independent voltage sources are symbolized with polarities (+ and -), indicating the direction of the...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Evaluating a Multitask Artificial Intelligence Model Compared With Humans for Portion-Size Estimation.

The Journal of nutrition·2026
Same author

Edge-Based Vision-Language Assistive System for the Visually Impaired: A Quantized VLM Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Mixed Reality and Desktop Hand Hygiene Training With Deep Learning-Based Step Recognition and Real-Time Decision Support.

IEEE transactions on visualization and computer graphics·2026
Same author

Benchmarking ChatGPT and Other Large Language Models for Personalized Stage-Specific Dietary Recommendations in Chronic Kidney Disease.

Journal of clinical medicine·2025
Same author

Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam.

Foods (Basel, Switzerland)·2025
Same author

Digital Mapping of Central Asian Foods: Towards a Standardized Visual Atlas for Nutritional Research.

Nutrients·2025

Related Experiment Video

Updated: Feb 8, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.4K

User-Independent Intent Recognition for Lower Limb Prostheses Using Depth Sensing.

Yerzhan Massalin, Madina Abdrakhmanova, Huseyin Atakan Varol

    IEEE Transactions on Bio-Medical Engineering
    |July 11, 2018
    PubMed
    Summary

    This study introduces a user-independent intent recognition system for lower limb prostheses using depth sensing. This approach achieves high accuracy, potentially speeding up the adoption of advanced robotic prostheses.

    More Related Videos

    Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection
    06:44

    Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

    Published on: January 26, 2019

    8.4K
    Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology
    10:02

    Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

    Published on: May 28, 2017

    28.1K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
    05:21

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

    8.4K
    Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection
    06:44

    Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection

    Published on: January 26, 2019

    8.4K
    Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology
    10:02

    Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

    Published on: May 28, 2017

    28.1K

    Area of Science:

    • Biomedical Engineering
    • Robotics
    • Human-Computer Interaction

    Background:

    • Current lower limb prostheses rely on mechanical sensors or electromyography, causing signal delays and requiring user-specific training.
    • Existing intent recognition systems necessitate extensive user-specific data collection, hindering rapid deployment.

    Purpose of the Study:

    • To develop and validate a user-independent intent recognition framework for powered lower limb prostheses.
    • To leverage depth sensing technology for real-time activity recognition.

    Main Methods:

    • Collected a depth image dataset from 12 healthy subjects performing routine activities.
    • Extracted features from depth images using a recursive strategy and classified them with a support vector machine.
    • Implemented a voting filter scheme for robust activity mode switching.

    Main Results:

    • The support vector machine classifier achieved 94.1% accuracy without dimension reduction on unseen data.
    • Accuracy improved with training data from more subjects, indicating user-independent potential.
    • The voting filter successfully detected 732 out of 778 activity transitions with 70 erroneous transitions.

    Conclusions:

    • A user-independent intent recognizer trained on multiple subjects can be applied to new users.
    • This framework offers a promising solution for the supervisory control of powered lower limb prostheses.
    • Accelerates the development and market introduction of advanced robotic prostheses by reducing training time.