Effect of camera position on localisation with simulated prosthetic vision Article Swipe
YOU?
·
· 2020
· Open Access
·
Purpose : Most current designs of visual prostheses use an external camera to capture information from the scene. Positioning of the external camera is an important issue since it is likely to affect the egocentric spatial frame of reference. The present simulated prosthetic vision (SPV) study investigates the direct effects of camera position on egocentric localisation by way of analysing the direction and magnitude of pointing errors and associated head movements immediately after exposure and prior to adaptation. Methods : Fifteen sighted participants (10 right-eye viewing (REV), 5 left-eye viewing (LEV)) performed blocks of a pointing task for each of four camera positions: (i) centre mounted (CM), (ii) head mounted (HM), (iii) left mounted (LM), and (iv) right mounted (RM). Participants pointed at white circular stimuli that were randomly presented on a black background while viewing through a simulation of a 44-channel retinal implant on a head-mounted display. Actual and participant-identified stimulus locations were recorded on a touchscreen. Head and finger movements were captured using a Qualisys Motion Capture System. This study complied with guidelines of National Statement on Ethical Conduct in Human Research. Results : As can be seen from Table 1, in both LEV and REV participants, absolute errors were minimum for CM followed by HM position. Errors were maximum when the camera was mounted contralateral to the viewing eye. CM errors had lower standard deviation and variance than HM errors. Direction of pointing was found to be strongly correlated with direction of head orientation with high positive correlation for HM, CM (.69 ≤ r ≤ .89) and moderate to high correlation for RM and LM (.49 ≤ r ≤ .89) in both groups. Relative to other camera mount positions, the percentage of participants with significant (r ≥ .66, p= .05) correlation was higher for HM (77.7% REV, 100% LEV). Conclusions : Our results showed lower errors for centrally mounted camera positions (CM and HM) versus laterally mounted with higher accuracy and precision for the CM position. High correlation between direction of head orientation and pointing with CM and HM positions suggests that centrally mounted positions facilitate intuitive head orientation cues that are important for reliable egocentric direction estimation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://hdl.handle.net/1959.3/456226
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3214708203
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3214708203Canonical identifier for this work in OpenAlex
- Title
-
Effect of camera position on localisation with simulated prosthetic visionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-06-10Full publication date if available
- Authors
-
Chris McCarthy, Deepa Prabhu, Clare MacMahon, Marten De Man, Lisa WiseList of authors in order
- Landing page
-
https://hdl.handle.net/1959.3/456226Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://iovs.arvojournals.org/article.aspx?articleid=2769974Direct OA link when available
- Concepts
-
Computer vision, Position (finance), Artificial intelligence, Computer science, Optometry, Medicine, Business, FinanceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3214708203 |
|---|---|
| doi | |
| ids.mag | 3214708203 |
| ids.openalex | https://openalex.org/W3214708203 |
| fwci | 0.0 |
| type | article |
| title | Effect of camera position on localisation with simulated prosthetic vision |
| biblio.issue | 7 |
| biblio.volume | 61 |
| biblio.last_page | 924 |
| biblio.first_page | 924 |
| topics[0].id | https://openalex.org/T10653 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9013000130653381 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2207 |
| topics[0].subfield.display_name | Control and Systems Engineering |
| topics[0].display_name | Robot Manipulation and Learning |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C31972630 |
| concepts[0].level | 1 |
| concepts[0].score | 0.677130937576294 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[0].display_name | Computer vision |
| concepts[1].id | https://openalex.org/C198082294 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6405346393585205 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q3399648 |
| concepts[1].display_name | Position (finance) |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5222674012184143 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.4718185365200043 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C119767625 |
| concepts[4].level | 1 |
| concepts[4].score | 0.43099987506866455 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q618211 |
| concepts[4].display_name | Optometry |
| concepts[5].id | https://openalex.org/C71924100 |
| concepts[5].level | 0 |
| concepts[5].score | 0.24893516302108765 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[5].display_name | Medicine |
| concepts[6].id | https://openalex.org/C144133560 |
| concepts[6].level | 0 |
| concepts[6].score | 0.0851973295211792 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[6].display_name | Business |
| concepts[7].id | https://openalex.org/C10138342 |
| concepts[7].level | 1 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q43015 |
| concepts[7].display_name | Finance |
| keywords[0].id | https://openalex.org/keywords/computer-vision |
| keywords[0].score | 0.677130937576294 |
| keywords[0].display_name | Computer vision |
| keywords[1].id | https://openalex.org/keywords/position |
| keywords[1].score | 0.6405346393585205 |
| keywords[1].display_name | Position (finance) |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.5222674012184143 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.4718185365200043 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/optometry |
| keywords[4].score | 0.43099987506866455 |
| keywords[4].display_name | Optometry |
| keywords[5].id | https://openalex.org/keywords/medicine |
| keywords[5].score | 0.24893516302108765 |
| keywords[5].display_name | Medicine |
| keywords[6].id | https://openalex.org/keywords/business |
| keywords[6].score | 0.0851973295211792 |
| keywords[6].display_name | Business |
| language | en |
| locations[0].id | pmh:oai:researchbank.swinburne.edu.au:9b931f01-c968-4fc3-8ddf-d068ee712705/1 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S4306401157 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Swinburne Research Bank (Swinburne University of Technology) |
| locations[0].source.host_organization | https://openalex.org/I57093077 |
| locations[0].source.host_organization_name | Swinburne University of Technology |
| locations[0].source.host_organization_lineage | https://openalex.org/I57093077 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | Investigative Ophthalmology & Visual Science: Abstracts of the 2020 ARVO Annual Meeting, Vol. 61, abstract no. 924 |
| locations[0].landing_page_url | http://hdl.handle.net/1959.3/456226 |
| locations[1].id | mag:3214708203 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S76304953 |
| locations[1].source.issn | 0146-0404, 1552-5783 |
| locations[1].source.type | journal |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | 0146-0404 |
| locations[1].source.is_core | True |
| locations[1].source.is_in_doaj | True |
| locations[1].source.display_name | Investigative Ophthalmology & Visual Science |
| locations[1].source.host_organization | https://openalex.org/P4310321950 |
| locations[1].source.host_organization_name | Cadmus Press |
| locations[1].source.host_organization_lineage | https://openalex.org/P4310321950 |
| locations[1].source.host_organization_lineage_names | Cadmus Press |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | Investigative Ophthalmology & Visual Science |
| locations[1].landing_page_url | https://iovs.arvojournals.org/article.aspx?articleid=2769974 |
| authorships[0].author.id | https://openalex.org/A5065533993 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3848-1631 |
| authorships[0].author.display_name | Chris McCarthy |
| authorships[0].countries | AU |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I57093077 |
| authorships[0].affiliations[0].raw_affiliation_string | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[0].institutions[0].id | https://openalex.org/I57093077 |
| authorships[0].institutions[0].ror | https://ror.org/031rekg67 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I57093077 |
| authorships[0].institutions[0].country_code | AU |
| authorships[0].institutions[0].display_name | Swinburne University of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Chris McCarthy |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[1].author.id | https://openalex.org/A5035934563 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0257-2200 |
| authorships[1].author.display_name | Deepa Prabhu |
| authorships[1].countries | AU |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I57093077 |
| authorships[1].affiliations[0].raw_affiliation_string | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[1].institutions[0].id | https://openalex.org/I57093077 |
| authorships[1].institutions[0].ror | https://ror.org/031rekg67 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I57093077 |
| authorships[1].institutions[0].country_code | AU |
| authorships[1].institutions[0].display_name | Swinburne University of Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Deepa Prabhu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[2].author.id | https://openalex.org/A5007159870 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9580-5933 |
| authorships[2].author.display_name | Clare MacMahon |
| authorships[2].countries | AU |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I196829312 |
| authorships[2].affiliations[0].raw_affiliation_string | (La Trobe University, Melbourne, Victoria, Australia) |
| authorships[2].institutions[0].id | https://openalex.org/I196829312 |
| authorships[2].institutions[0].ror | https://ror.org/01rxfrp27 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I196829312 |
| authorships[2].institutions[0].country_code | AU |
| authorships[2].institutions[0].display_name | La Trobe University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Clare MacMahon |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | (La Trobe University, Melbourne, Victoria, Australia) |
| authorships[3].author.id | https://openalex.org/A5002647030 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Marten De Man |
| authorships[3].countries | AU |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I57093077 |
| authorships[3].affiliations[0].raw_affiliation_string | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[3].institutions[0].id | https://openalex.org/I57093077 |
| authorships[3].institutions[0].ror | https://ror.org/031rekg67 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I57093077 |
| authorships[3].institutions[0].country_code | AU |
| authorships[3].institutions[0].display_name | Swinburne University of Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Marten De Man |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[4].author.id | https://openalex.org/A5064984933 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-4997-4768 |
| authorships[4].author.display_name | Lisa Wise |
| authorships[4].countries | AU |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I57093077 |
| authorships[4].affiliations[0].raw_affiliation_string | Swinburne University of Technology Melbourne Victoria Australia |
| authorships[4].institutions[0].id | https://openalex.org/I57093077 |
| authorships[4].institutions[0].ror | https://ror.org/031rekg67 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I57093077 |
| authorships[4].institutions[0].country_code | AU |
| authorships[4].institutions[0].display_name | Swinburne University of Technology |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Lisa Wise |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Swinburne University of Technology Melbourne Victoria Australia |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://iovs.arvojournals.org/article.aspx?articleid=2769974 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Effect of camera position on localisation with simulated prosthetic vision |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-10-10T17:16:08.811792 |
| primary_topic.id | https://openalex.org/T10653 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9013000130653381 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2207 |
| primary_topic.subfield.display_name | Control and Systems Engineering |
| primary_topic.display_name | Robot Manipulation and Learning |
| related_works | https://openalex.org/W2639782054, https://openalex.org/W2267839379, https://openalex.org/W2119762599, https://openalex.org/W2325879127, https://openalex.org/W2528752926, https://openalex.org/W1984218537, https://openalex.org/W2139697617, https://openalex.org/W2566301184, https://openalex.org/W2753396995, https://openalex.org/W2967950643, https://openalex.org/W1585873145, https://openalex.org/W3144401423, https://openalex.org/W2157202951, https://openalex.org/W2957250717, https://openalex.org/W2930647512, https://openalex.org/W2969030096, https://openalex.org/W2119526844, https://openalex.org/W182670604, https://openalex.org/W3097777724, https://openalex.org/W2117488557 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | mag:3214708203 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S76304953 |
| best_oa_location.source.issn | 0146-0404, 1552-5783 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 0146-0404 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Investigative Ophthalmology & Visual Science |
| best_oa_location.source.host_organization | https://openalex.org/P4310321950 |
| best_oa_location.source.host_organization_name | Cadmus Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310321950 |
| best_oa_location.source.host_organization_lineage_names | Cadmus Press |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Investigative Ophthalmology & Visual Science |
| best_oa_location.landing_page_url | https://iovs.arvojournals.org/article.aspx?articleid=2769974 |
| primary_location.id | pmh:oai:researchbank.swinburne.edu.au:9b931f01-c968-4fc3-8ddf-d068ee712705/1 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S4306401157 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Swinburne Research Bank (Swinburne University of Technology) |
| primary_location.source.host_organization | https://openalex.org/I57093077 |
| primary_location.source.host_organization_name | Swinburne University of Technology |
| primary_location.source.host_organization_lineage | https://openalex.org/I57093077 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | Investigative Ophthalmology & Visual Science: Abstracts of the 2020 ARVO Annual Meeting, Vol. 61, abstract no. 924 |
| primary_location.landing_page_url | http://hdl.handle.net/1959.3/456226 |
| publication_date | 2020-06-10 |
| publication_year | 2020 |
| referenced_works_count | 0 |
| abstract_inverted_index.5 | 87 |
| abstract_inverted_index.: | 1, 79, 185, 303 |
| abstract_inverted_index.a | 94, 131, 137, 140, 145, 156, 165 |
| abstract_inverted_index.r | 256, 270 |
| abstract_inverted_index.(r | 288 |
| abstract_inverted_index.1, | 192 |
| abstract_inverted_index.As | 186 |
| abstract_inverted_index.CM | 204, 222, 253, 327, 339 |
| abstract_inverted_index.HM | 207, 231, 297, 341 |
| abstract_inverted_index.LM | 267 |
| abstract_inverted_index.RM | 265 |
| abstract_inverted_index.an | 9, 24 |
| abstract_inverted_index.at | 122 |
| abstract_inverted_index.be | 188, 239 |
| abstract_inverted_index.by | 56, 206 |
| abstract_inverted_index.in | 181, 193, 273 |
| abstract_inverted_index.is | 23, 29 |
| abstract_inverted_index.it | 28 |
| abstract_inverted_index.of | 5, 19, 37, 50, 58, 64, 93, 99, 139, 175, 234, 244, 284, 333 |
| abstract_inverted_index.on | 53, 130, 144, 155, 178 |
| abstract_inverted_index.p= | 291 |
| abstract_inverted_index.to | 12, 31, 76, 218, 238, 261, 277 |
| abstract_inverted_index.(10 | 83 |
| abstract_inverted_index.(CM | 314 |
| abstract_inverted_index.(i) | 103 |
| abstract_inverted_index.HM) | 316 |
| abstract_inverted_index.HM, | 252 |
| abstract_inverted_index.LEV | 195 |
| abstract_inverted_index.Our | 304 |
| abstract_inverted_index.REV | 197 |
| abstract_inverted_index.The | 39 |
| abstract_inverted_index.and | 62, 67, 74, 115, 149, 159, 196, 228, 259, 266, 315, 323, 336, 340 |
| abstract_inverted_index.are | 354 |
| abstract_inverted_index.can | 187 |
| abstract_inverted_index.for | 97, 203, 251, 264, 296, 309, 325, 356 |
| abstract_inverted_index.had | 224 |
| abstract_inverted_index.the | 16, 20, 33, 47, 60, 213, 219, 282, 326 |
| abstract_inverted_index.use | 8 |
| abstract_inverted_index.was | 215, 236, 294 |
| abstract_inverted_index.way | 57 |
| abstract_inverted_index.≤ | 255, 257, 269, 271 |
| abstract_inverted_index.≥ | 289 |
| abstract_inverted_index.(.49 | 268 |
| abstract_inverted_index.(.69 | 254 |
| abstract_inverted_index.(ii) | 107 |
| abstract_inverted_index.(iv) | 116 |
| abstract_inverted_index..05) | 292 |
| abstract_inverted_index..66, | 290 |
| abstract_inverted_index..89) | 258, 272 |
| abstract_inverted_index.100% | 300 |
| abstract_inverted_index.Head | 158 |
| abstract_inverted_index.High | 329 |
| abstract_inverted_index.Most | 2 |
| abstract_inverted_index.REV, | 299 |
| abstract_inverted_index.This | 170 |
| abstract_inverted_index.both | 194, 274 |
| abstract_inverted_index.cues | 352 |
| abstract_inverted_index.each | 98 |
| abstract_inverted_index.eye. | 221 |
| abstract_inverted_index.four | 100 |
| abstract_inverted_index.from | 15, 190 |
| abstract_inverted_index.head | 69, 108, 245, 334, 350 |
| abstract_inverted_index.high | 248, 262 |
| abstract_inverted_index.left | 112 |
| abstract_inverted_index.seen | 189 |
| abstract_inverted_index.task | 96 |
| abstract_inverted_index.than | 230 |
| abstract_inverted_index.that | 126, 344, 353 |
| abstract_inverted_index.were | 127, 153, 162, 201, 210 |
| abstract_inverted_index.when | 212 |
| abstract_inverted_index.with | 173, 242, 247, 286, 320, 338 |
| abstract_inverted_index.(CM), | 106 |
| abstract_inverted_index.(HM), | 110 |
| abstract_inverted_index.(LM), | 114 |
| abstract_inverted_index.(RM). | 119 |
| abstract_inverted_index.(SPV) | 44 |
| abstract_inverted_index.(iii) | 111 |
| abstract_inverted_index.Human | 182 |
| abstract_inverted_index.LEV). | 301 |
| abstract_inverted_index.Table | 191 |
| abstract_inverted_index.after | 72 |
| abstract_inverted_index.black | 132 |
| abstract_inverted_index.found | 237 |
| abstract_inverted_index.frame | 36 |
| abstract_inverted_index.issue | 26 |
| abstract_inverted_index.lower | 225, 307 |
| abstract_inverted_index.mount | 280 |
| abstract_inverted_index.other | 278 |
| abstract_inverted_index.prior | 75 |
| abstract_inverted_index.right | 117 |
| abstract_inverted_index.since | 27 |
| abstract_inverted_index.study | 45, 171 |
| abstract_inverted_index.using | 164 |
| abstract_inverted_index.while | 134 |
| abstract_inverted_index.white | 123 |
| abstract_inverted_index.(77.7% | 298 |
| abstract_inverted_index.(LEV)) | 90 |
| abstract_inverted_index.(REV), | 86 |
| abstract_inverted_index.Actual | 148 |
| abstract_inverted_index.Errors | 209 |
| abstract_inverted_index.Motion | 167 |
| abstract_inverted_index.affect | 32 |
| abstract_inverted_index.blocks | 92 |
| abstract_inverted_index.camera | 11, 22, 51, 101, 214, 279, 312 |
| abstract_inverted_index.centre | 104 |
| abstract_inverted_index.direct | 48 |
| abstract_inverted_index.errors | 66, 200, 223, 308 |
| abstract_inverted_index.finger | 160 |
| abstract_inverted_index.higher | 295, 321 |
| abstract_inverted_index.likely | 30 |
| abstract_inverted_index.scene. | 17 |
| abstract_inverted_index.showed | 306 |
| abstract_inverted_index.versus | 317 |
| abstract_inverted_index.vision | 43 |
| abstract_inverted_index.visual | 6 |
| abstract_inverted_index.Capture | 168 |
| abstract_inverted_index.Conduct | 180 |
| abstract_inverted_index.Ethical | 179 |
| abstract_inverted_index.Fifteen | 80 |
| abstract_inverted_index.Methods | 78 |
| abstract_inverted_index.Purpose | 0 |
| abstract_inverted_index.Results | 184 |
| abstract_inverted_index.System. | 169 |
| abstract_inverted_index.between | 331 |
| abstract_inverted_index.capture | 13 |
| abstract_inverted_index.current | 3 |
| abstract_inverted_index.designs | 4 |
| abstract_inverted_index.effects | 49 |
| abstract_inverted_index.errors. | 232 |
| abstract_inverted_index.groups. | 275 |
| abstract_inverted_index.implant | 143 |
| abstract_inverted_index.maximum | 211 |
| abstract_inverted_index.minimum | 202 |
| abstract_inverted_index.mounted | 105, 109, 113, 118, 216, 311, 319, 346 |
| abstract_inverted_index.pointed | 121 |
| abstract_inverted_index.present | 40 |
| abstract_inverted_index.results | 305 |
| abstract_inverted_index.retinal | 142 |
| abstract_inverted_index.sighted | 81 |
| abstract_inverted_index.spatial | 35 |
| abstract_inverted_index.stimuli | 125 |
| abstract_inverted_index.through | 136 |
| abstract_inverted_index.viewing | 85, 89, 135, 220 |
| abstract_inverted_index.National | 176 |
| abstract_inverted_index.Qualisys | 166 |
| abstract_inverted_index.Relative | 276 |
| abstract_inverted_index.absolute | 199 |
| abstract_inverted_index.accuracy | 322 |
| abstract_inverted_index.captured | 163 |
| abstract_inverted_index.circular | 124 |
| abstract_inverted_index.complied | 172 |
| abstract_inverted_index.display. | 147 |
| abstract_inverted_index.exposure | 73 |
| abstract_inverted_index.external | 10, 21 |
| abstract_inverted_index.followed | 205 |
| abstract_inverted_index.left-eye | 88 |
| abstract_inverted_index.moderate | 260 |
| abstract_inverted_index.pointing | 65, 95, 235, 337 |
| abstract_inverted_index.position | 52 |
| abstract_inverted_index.positive | 249 |
| abstract_inverted_index.randomly | 128 |
| abstract_inverted_index.recorded | 154 |
| abstract_inverted_index.reliable | 357 |
| abstract_inverted_index.standard | 226 |
| abstract_inverted_index.stimulus | 151 |
| abstract_inverted_index.strongly | 240 |
| abstract_inverted_index.suggests | 343 |
| abstract_inverted_index.variance | 229 |
| abstract_inverted_index.Direction | 233 |
| abstract_inverted_index.Research. | 183 |
| abstract_inverted_index.Statement | 177 |
| abstract_inverted_index.analysing | 59 |
| abstract_inverted_index.centrally | 310, 345 |
| abstract_inverted_index.deviation | 227 |
| abstract_inverted_index.direction | 61, 243, 332, 359 |
| abstract_inverted_index.important | 25, 355 |
| abstract_inverted_index.intuitive | 349 |
| abstract_inverted_index.laterally | 318 |
| abstract_inverted_index.locations | 152 |
| abstract_inverted_index.magnitude | 63 |
| abstract_inverted_index.movements | 70, 161 |
| abstract_inverted_index.performed | 91 |
| abstract_inverted_index.position. | 208, 328 |
| abstract_inverted_index.positions | 313, 342, 347 |
| abstract_inverted_index.precision | 324 |
| abstract_inverted_index.presented | 129 |
| abstract_inverted_index.right-eye | 84 |
| abstract_inverted_index.simulated | 41 |
| abstract_inverted_index.44-channel | 141 |
| abstract_inverted_index.associated | 68 |
| abstract_inverted_index.background | 133 |
| abstract_inverted_index.correlated | 241 |
| abstract_inverted_index.egocentric | 34, 54, 358 |
| abstract_inverted_index.facilitate | 348 |
| abstract_inverted_index.guidelines | 174 |
| abstract_inverted_index.percentage | 283 |
| abstract_inverted_index.positions, | 281 |
| abstract_inverted_index.positions: | 102 |
| abstract_inverted_index.prostheses | 7 |
| abstract_inverted_index.prosthetic | 42 |
| abstract_inverted_index.reference. | 38 |
| abstract_inverted_index.simulation | 138 |
| abstract_inverted_index.Conclusions | 302 |
| abstract_inverted_index.Positioning | 18 |
| abstract_inverted_index.adaptation. | 77 |
| abstract_inverted_index.correlation | 250, 263, 293, 330 |
| abstract_inverted_index.estimation. | 360 |
| abstract_inverted_index.immediately | 71 |
| abstract_inverted_index.information | 14 |
| abstract_inverted_index.orientation | 246, 335, 351 |
| abstract_inverted_index.significant | 287 |
| abstract_inverted_index.Participants | 120 |
| abstract_inverted_index.head-mounted | 146 |
| abstract_inverted_index.investigates | 46 |
| abstract_inverted_index.localisation | 55 |
| abstract_inverted_index.participants | 82, 285 |
| abstract_inverted_index.touchscreen. | 157 |
| abstract_inverted_index.contralateral | 217 |
| abstract_inverted_index.participants, | 198 |
| abstract_inverted_index.participant-identified | 150 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.27054856 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |