Jove
Visualize
Contact Us

Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

8.5K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
8.5K
Assessment of blood pressure in brachial artery(one-step method)01:15

Assessment of blood pressure in brachial artery(one-step method)

1.1K
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
1.1K
Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

1.4K
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Incremental Unsupervised Domain-Adversarial Training of Neural Networks.

IEEE transactions on neural networks and learning systemsยท2020
See all related articles
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: Jan 8, 2026

Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
05:52

Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis

Published on: November 21, 2013

15.3K

Handwritten Text Recognition: A Survey.

Carlos Garrido-Munoz, Antonio Rios-Vila, Jorge Calvo-Zaragoza

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |December 18, 2025
    PubMed
    Summary

    This survey reviews Handwritten Text Recognition (HTR) models, from early methods to advanced deep learning. It covers word-level to document-level recognition, offering a roadmap for future HTR research.

    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Handwritten Text Recognition (HTR) is crucial for pattern recognition and machine learning.
    • High variability in handwriting presents significant challenges for robust system development.
    • HTR applications range from historical document preservation to modern data entry.

    Purpose of the Study:

    • To survey the evolution of Handwritten Text Recognition (HTR) models.
    • To categorize HTR research into line-level and beyond line-level recognition.
    • To provide a unified framework for understanding HTR methodologies, datasets, and challenges.

    Main Methods:

    • Examined the progression of HTR models from heuristic to deep learning approaches.
    • Categorized existing work into line-level (word, line) and beyond line-level (paragraph, document) recognition.

    More Related Videos

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
    05:58

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

    Published on: March 11, 2021

    5.0K
    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
    05:42

    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

    Published on: October 5, 2020

    3.6K

    Related Experiment Videos

    Last Updated: Jan 8, 2026

    Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
    05:52

    Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis

    Published on: November 21, 2013

    15.3K
    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
    05:58

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

    Published on: March 11, 2021

    5.0K
    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
    05:42

    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

    Published on: October 5, 2020

    3.6K
  • Analyzed research methodologies, benchmarking, datasets, and reported results.

    • Main Results:

    • Documented the shift from word-level to end-to-end document-level HTR.
    • Highlighted advancements in deep learning techniques for improved HTR accuracy.
    • Identified key datasets and benchmarking progress in the field.

    Conclusions:

    • HTR has evolved significantly, with deep learning driving state-of-the-art performance.
    • Future research should address document-level challenges and explore new methodologies.
    • This survey provides a roadmap for researchers and practitioners in HTR.