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

Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
Prosopagnosia01:24

Prosopagnosia

Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...

You might also read

Related Articles

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

Sort by
Same author

[Application of peripheral blood endonuclease activity assay in the auxiliary diagnosis and monitoring of ovarian cancer].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2026
Same author

[Inhibition of osteogenic differentiation of mouse bone marrow mesenchymal stem cells and maxillary expansion osteogenesis by cytoskeleton-associated protein 4 knockout].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2025
Same author

[Analysis of long-term efficacy of CO<sub>2</sub> laser partial excision of vocal folds for 599 cases in the treatment of vocal cord leukoplakia].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
Same author

[Comparison of surgical outcomes between Kahook Dual Blade goniotomy and Trabectome surgery in patients with open-angle glaucoma].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2024
Same author

[Protective repair of discolored breast cancer HE sections by color transfer].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2023
Same author

[A preliminary study on the efficacy and safety of a new type of trabeculotome tunnelling trabeculoplasty for open-angle glaucoma].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2023

Related Experiment Video

Updated: Jul 10, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K

Braille recognition by E-skin system based on binary memristive neural network.

Y H Liu1, J J Wang2, H Z Wang1

  • 1State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China.

Scientific Reports
|April 3, 2023
PubMed
Summary

A new electronic skin (E-skin) system uses flexible sensors and memristor-based neural networks to recognize Braille. This wearable, low-cost device achieves 91.25% accuracy, aiding visually impaired individuals in learning and communication.

More Related Videos

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.9K
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

594

Related Experiment Videos

Last Updated: Jul 10, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K
Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.9K
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

594

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Computer Science

Background:

  • The Braille system is crucial for visually impaired individuals' communication.
  • Certain groups, including young children, the elderly, and those with brain damage, face challenges learning Braille.
  • A wearable, affordable Braille recognition system could significantly enhance accessibility and learning.

Purpose of the Study:

  • To develop a low-cost, wearable electronic skin (E-skin) for Braille recognition.
  • To create a system that assists visually impaired individuals in recognizing Braille and facilitates Braille learning.
  • To demonstrate the feasibility of a cost-effective solution using advanced sensor technology and neural networks.

Main Methods:

  • Fabrication of polydimethylsiloxane (PDMS)-based flexible pressure sensors to form an E-skin.
  • Integration of the E-skin with a memristor-based neural network for Braille information processing.
  • Implementation of a binary neural network algorithm with reduced computational complexity (two bias layers, three fully connected layers).

Main Results:

  • The developed E-skin successfully mimics human touch for Braille data acquisition.
  • The memristor-based neural network achieved a high Braille recognition accuracy of up to 91.25%.
  • The simplified neural network design effectively reduced computational load and system costs.

Conclusions:

  • A wearable and low-cost Braille recognition system is feasible using PDMS-based E-skin and memristor neural networks.
  • This technology holds significant potential for assisting visually impaired individuals in Braille learning and communication.
  • The study paves the way for more accessible assistive technologies for people with visual impairments.