A Computational Brain Colour Response Model For Achromatopsia

• doi: 10.1109/QRS-C60940.2023.00117
• title: A Computational Brain Colour Response Model for Achromatopsia
• publisher: IEEE
• isbn: 979-8-3503-5940-4
• issn: 2693-938X
• rank: 674
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper aims to solve the problem that achromatopsia cannot distinguish or perceive the energy of different colours. The problem of the previous study was to focus on the sound transforming into chladni's image patterns, which ignored the colours as more significant measurement in vision. The approach to filling the gap is standing by the creative computing approach, with the published brain colour response data, this research rebuilds the benchmark algorithm by combining the digital HSV (hue saturation brightness colour system in the computer) with the Chladni's Law and is supported by Ontology Philosophy. The result of this research proposes a novelty model to help achromatopsia to distinguish and to perceive the energy of different colours. Additionally, the design grounds on the filter-free sensor CMOS (metal-oxide-semiconductor) sensor technology, this paper proposed a sensor design plan for future model applications.
• article_number: 10429999
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10429999
• html_url: https://ieeexplore.ieee.org/document/10429999/
• abstract_url: https://ieeexplore.ieee.org/document/10429999/
• publication_title: 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)
• conference_location: Chiang Mai, Thailand
• conference_dates: 22-26 Oct. 2023
• publication_number: 10429824
• is_number: 10429825
• publication_year: 2023
• publication_date: 22-26 Oct. 2023
• start_page: 675
• end_page: 681
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 51
• insert_date: 20240219
• index_terms:
  • ieee_terms:
    • Semiconductor device modeling
    • Codes
    • Image color analysis
    • Computational modeling
    • Software quality
    • Brain modeling
    • Software reliability
  • author_terms:
    • creative computing
    • Achromatopsia
    • colour Energy
    • chladni's law
    • ontology philosophy
    • brain colour response
  • dynamic_index_terms:
    • Color Response
    • Achromatopsia
    • Sensor Technology
    • Image Pattern
    • Color Model
    • Color System
    • Brain Tissue
    • Human Brain
    • Visual Impairment
    • Vision Loss
    • Creativity
    • Creative Thinking
    • Unit Time
    • Dark Color
    • Human-computer Interaction
    • User Interaction
    • Brain Responses
    • Color Vision
    • Color Perception
    • Color Code
    • Fourier Series
    • Fourier Decomposition
    • Fourier Modes
    • Fourier Expansion
    • Color Parameters
    • Prototype System
    • Light Sensitivity
    • Photophobic
    • Interface System
    • Digital Color
    • Vacuum Wavelength
    • Synaesthesia
    • Synesthetic
    • Synaesthetes
    • Absence Of Vision
    • Absence Of Sensitivity
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-5940-4, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-5939-8, isbnType: New-2005
• authors:
  • Author Name: Yinwei Liu
    Affiliation: University of Leicester, Leicester, Uk
    Author URL: https://ieeexplore.ieee.org/author/37089352000
    ID: 37089352000
    Order: 1
    Author Affiliations:
    • University of Leicester, Leicester, Uk

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Not specified
• benefits: Facilitates digital imaging in applications such as smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 22-26 Oct. 2023

Relevancy Score

• score: 7
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • supported_by
  • publication_date

Processed JSON Filename

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