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 Experiment Video

Updated: Aug 31, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.5K

Sports Deep Learning Method Based on Cognitive Human Behavior Recognition.

Xiwei Liu1

  • 1School of Physical Education, Lanzhou City University, Lanzhou 730070, Gansu, China.

Computational Intelligence and Neuroscience
|August 22, 2022
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

492
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
492
Cognitivism01:17

Cognitivism

1.6K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
1.6K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

629
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
629
Social Facilitation01:04

Social Facilitation

32.6K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
32.6K

You might also read

Related Articles

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

Sort by
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
See all related articles

Deep learning models with 3D residual structures and attention mechanisms effectively recognize human actions. Fusion strategies significantly improve performance on benchmark datasets like HMDB51 and UCF101.

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning

Background:

  • Human behavior recognition is crucial for various applications.
  • Existing methods often struggle with dynamic and complex actions.
  • Deep learning offers potential for advanced action recognition.

Purpose of the Study:

  • To develop an in-depth learning-based approach for human behavior recognition.
  • To introduce and evaluate 3D residual structures and models.
  • To explore and enhance model fusion strategies for improved accuracy.

Main Methods:

  • Introduction of 3D residual structures and 3D residual models.
  • Application of 3D techniques to leverage temporal data relationships across frames.
  • Proposal of average and weighted model fusion strategies, including a novel weighted fusion based on model accuracy.

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.0K
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.8K

Related Experiment Videos

Last Updated: Aug 31, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.5K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.0K
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.8K
  • Utilizing additive fusion strategies based on feature contribution.

    • Main Results:

    • Both 3D residual structures and models demonstrated improved recognition performance.
    • Weighted fusion strategies outperformed average fusion, especially when prioritizing high-accuracy models.
    • Additive fusion based on feature contribution boosted test results by over 2% on benchmark datasets (e.g., 2.69% on HMDB51).
    • Splicing and fusion strategies yielded performance increases of over 1% (e.g., 1.34% on UCF101, 1.9% on HMDB51).

    Conclusions:

    • Deep learning approaches, particularly with 3D residual and attention mechanisms, are effective for human behavior recognition.
    • Advanced fusion strategies significantly enhance the performance of action recognition models.
    • The proposed methods show considerable improvements on established datasets, validating their efficacy.