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Eyeborg: History, The blind & Color to sound scales
An eyeborg or eye-borg is a body modification apparatus which fits on the wearer's head, and is designed to allow people to perceive color through sound waves. It works with a head-mounted antenna that senses the colors directly in front of a person, and converts them in real-time into sound waves through bone conduction.
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Eyeborg topic overview
The analysis highlights History, The blind and Color to sound scales as prominent areas in the source structure around Eyeborg.
Related topics
17
Source areas
4
Connected nodes
21
Extracted relationships
55
Concept neighborhoods
12
Bridge connections
21
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 7 topics
The blind · 5 topics
Color to sound scales · 3 topics
Overview · 2 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Eyeborg connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Eyeborg shows recurring relationship patterns in the source. For example, Eyeborg → Adam Montandon, Bridging, British, Catalunya, Colourblind Project, Content Tools, England, European, Europrix, In, Innovation, Interface Design, Island, Kranj, Matias Lizana, Neil Harbisson, Peter Kese, Slovenia, Submerge, The Another extracted example is Eyeborg → America, Asia, Braille Without Borders, Brazil, Ciegos, Cyborg Foundation, Ecuador, Ecuador Lenin Moreno, Escola Politécnica, Europe, In, Pernambuco, Pichincha, Recife, Sabriye Tenberken, Since, Sociedad, The, Tibet, Universidade. Use these groups to spot repeated connection types before inspecting the individual relationships.
Eyeborg
Top relations
related to history· 21
Eyeborg → Adam Montandon, Bridging, British, Catalunya, Colourblind Project, Content Tools, England, European, Europrix, In, Innovation, Interface Design, Island, Kranj, Matias Lizana, Neil Harbisson, Peter Kese, Slovenia, Submerge, The
related to The blind· 20
Eyeborg → America, Asia, Braille Without Borders, Brazil, Ciegos, Cyborg Foundation, Ecuador, Ecuador Lenin Moreno, Escola Politécnica, Europe, In, Pernambuco, Pichincha, Recife, Sabriye Tenberken, Since, Sociedad, The, Tibet, Universidade
related to External links· 8
Eyeborg → BBC, How, Information, The Sunday Times, UK, USA, Video, Wired
related to Color to sound scales· 4
Eyeborg → Each, Harbisson's Pure Sonochromatic Scale, Harbisson's Sonochromatic Music Scale, The
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 55 structured relationships around Eyeborg. Examples in this analysis include infrared → instance of → The chip allows users to have the device implanted and to hear colors beyond the limits of human perception and Eyeborg → related to Color to sound scales → Harbisson's Sonochromatic Music Scale. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
infrared
instance of
The chip allows users to have the device implanted and to hear colors beyond the limits of human perception
0.80
text
ultraviolet
instance of
The chip allows users to have the device implanted and to hear colors beyond the limits of human perception
0.80
text
Eyeborg
related to Color to sound scales
Harbisson's Sonochromatic Music Scale
0.60
section
Eyeborg
related to Color to sound scales
Each
0.60
section
Eyeborg
related to Color to sound scales
The
0.60
section
Eyeborg
related to Color to sound scales
Harbisson's Pure Sonochromatic Scale
0.60
section
Eyeborg
related to External links
Video
0.60
section
Eyeborg
related to External links
How
0.60
section
Eyeborg
related to External links
Wired
0.60
section
Eyeborg
related to External links
USA
0.60
section
Eyeborg
related to External links
The Sunday Times
0.60
section
Eyeborg
related to External links
UK
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Eyeborg bring nearby vocabulary together. In this analysis, examples include First, Color and Perceive. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
color to sound scales
Waves
Wheel
Blind
Eyeborg
Sound
Collaboration
Colourblind
Harbisson's
Person
Sonochromatic
Works
Colors
Eyeborg
First
Color
Perceive
Blind
De
Sound
Scale
Allows
Chip
Collaboration
Colourblind
Ecuador
eyeborg
First
Color
Perceive
Blind
De
Sound
Scale
Allows
Chip
Collaboration
Colourblind
Ecuador
color wheel
Color
Limits
Logarithmic
Part
Perception
Wheel
Blind
Eyeborg
Human
Sound
Eye-borg
Scale
color saturation
Wheel
Blind
Eyeborg
Sound
Eye-borg
Collaboration
Colourblind
Donated
Limits
Logarithmic
Part
Perceive
universitat politècnica de catalunya
Chip
Create
Cyborg
Ecuador
Extensions
Foundation
Part
Person
Project
Eyeborg
First
Human
universidade de pernambuco
Chip
Create
Cyborg
Ecuador
Extensions
Foundation
Part
Person
Project
Eyeborg
First
Human
the blind
First
Color
Collaboration
Colourblind
Donated
Ecuador
Person
Eyeborg
De
Eyeborgs
Sound
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Eyeborg, one of the stronger structural bridges in this analysis connects Eyeborg with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Eyeborg — History· splits 14 ⟂ 8Eyeborg — The blind· splits 16 ⟂ 6Eyeborg — Color to sound scales· splits 18 ⟂ 4Eyeborg — Overview· splits 19 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Eyeborg
Nodes22
Edges21
Triples55
Avg. degree1.91
Density0.090909
Components1
Source & methodology
TTTA analyzes the structure around Eyeborg to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, The blind & Color to sound scales, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
