The DOI matches its Crossref record; 7 of the 8 references it cites were found in a registry or an index.
Integrating Computer Vision Object Recognition with Location Based Services for the Blind
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Hybrid systems provide a balanced trade-off between the combined technologies.
“Balanced trade-off between the combined technologies”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [58]
Hybrid systems have improved accuracy, robustness, usability and performance.
“Improved accuracy, robustness, usability and performance”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [58]
Hybrid systems have increased infrastructure usage, time usage, complexity and cost.
“Increased infrastructure usage Increased time usage Increased complexity Increased cost.”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [58]
Citations
Cites
A Blind Navigation System Using RFID for Indoor Environments
Chumkamon, S., Tuvaphanthaphiphat, P., & Keeratiwintakorn, P. (2008) · International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) · doi:10.1109/ecticon.2008.4600543 · Cited by 222
RFID Information Grid for Blind Navigation and Wayfinding
Willis, S., & Helal, S. (2005) · Proceedings · doi:10.1109/iswc.2005.46 · Cited by 165
A system to aid blind people in the mobility: A usability test and its results
D'Atri, E., Medaglia, C. M., Serbanati, A., Ceipidor, U. B., Panizzi, E., & D’Atri, A. (2007) · International Conference on Systems · doi:10.1109/icons.2007.7 · Cited by 85
Electronic interfaces aiding the visually impaired in environmental access, mobility and navigation
Strumiłło, P. (2010) · International Conference on Human System Interaction (HSI) · doi:10.1109/hsi.2010.5514595 · Cited by 71
The SmartVision Navigation Prototype for Blind Users
du Buf, J. M. H., Barroso, J., Rodrigues, J. M. F., Paredes, H., Farrajota, M., Fernandes, H., -, J. J., -, V. T., & Saleiro, M. (2011) · International Journal of Digital Content Technology and its Applications · doi:10.4156/jdcta.vol5.issue5.39 · Cited by 59
Self-citationAn integrated system for blind day-to-day life autonomy
Fernandes, H., Faria, J. A., Paredes, H., & Barroso, J. (2011) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/2049536.2049579 · Cited by 17
Self-citationNavigation module of Blavigator prototype
Adão, T. O., Magalhães, L., Fernandes, H., Paredes, H., & Barroso, J. (2012) · Cited by 9
Self-citation
Flagged first, then by citations
1 of the 8 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- du Buf, J.M.H., Barroso, J., Rodrigues, J.M.F., Paredes, H., Farrajota, M., Fernandes, H., José, J., Teixiera, V., Saleiro, M.: The SmartVision navigation prototype for the blind. In: Proc. Int. Conf. on Software Development for Enhancing Accessibility and Fighting Info-exclusion (DSAI), pp. 167–174 (2010)
Cited by
Sorted by citations
Navigation Systems for the Blind and Visually Impaired: Past Work, Challenges, and Open Problems
Real, S., & Araújo, Á. (2019) · Sensors · doi:10.3390/s19153404 · Cited by 225
Assistive infrared sensor based smart stick for blind people
Nada, A., Fakhr, M. A., & Seddik, A. F. (2015) · Science and Information Conference · doi:10.1109/sai.2015.7237289 · Cited by 144
Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies
Elgendy, M., Sik-Lanyi, C., & Kelemen, A. (2019) · Applied Sciences · doi:10.3390/app9061061 · Cited by 48
“Finally, Fernandes and co-authors developed a solution to help PVI identify objects and navigate in indoor locations using RFID and CV technologies [58].”
BackgroundSaquib, Z., Murari, V., & Bhargav, S. N. (2017) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict.2017.8256560 · Cited by 38
A Novel method for visually impaired using object recognition
Kumar, R., & Meher, S. (2015) · International Conference on Communications and Signal Processing (ICCSP) · doi:10.1109/iccsp.2015.7322596 · Cited by 24
Lian, Y., Liu, D., & Ji, W. (2023) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2023.2227224 · Cited by 15
Scene Description for Visually Impaired People with Multi-Label Convolutional SVM Networks
Bazi, Y., Alhichri, H. S., Alajlan, N., & Melgani, F. (2019) · Applied Sciences · doi:10.3390/app9235062 · Cited by 14
Kaul, O. B., Behrens, K., & Rohs, M. (2021) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3411763.3451611 · Cited by 12
Object Detection And Recognition For Blind Assistance.
Shinde, A., Bhagat, P., & Dhobale, S. (2019) · Cited by 10
Internet of Things (IoT) Enabled Smart Navigation Aid for Visually Impaired
Roy, M., & Shah, P. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-99619-2_23 · Cited by 5
Feature Detection Applied to Context-Aware Blind Guidance Support
Fernandes, H., Sousa, A., Paredes, H., Filipe, V. M. D. J., & Barroso, J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20687-5_13 · Cited by 5
Self-citationReis, A., Liberato, M. L. R., Paredes, H., Martins, P., & Barroso, J. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-23563-5_25 · Cited by 2
Self-citationCloud Video Guidance as “Deus ex Machina” for the Visually Impaired
Loukopoulos, T., Koziri, M. G., Panagou, N., Papadopoulos, P. K., & Iakovidis, D. K. (2019) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-16450-8_6 · Cited by 2
Design and Development of Blind Navigation System using GSM and IR Sensor
Roy, S., Banerjee, S. S., & Maiti, M. (2019) · IJIREEICE · doi:10.17148/ijireeice.2019.7314
Martínez, M. H., & Ramírez, J. E. U. (2022) · TECCIENCIA · doi:10.18180/tecciencia.2022.32.1
SPECDUINO—A Secondary Sensory Vision
Rajeswari, A. M., Sreejith, V., Prakash, N. J., Sudhan, J. V. H. H., & Kumar, A. S. B. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-5412-0_15
Metadata
- Authors
- Fernandes, H., Costa, P., Paredes, H., Filipe, V., & Barroso, J.
- Affiliations
- University of Trás-os-Montes and Alto Douro (PT)
- Universidade de Leiria e Oeste (PT)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 493-500
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W181846293
- Cited by
- 17
- References
- 8
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 2 · 2021: 1 · 2019: 7 · 2017: 1 · 2015: 3
- FWCI
- 4.09
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Instituto Politécnico de Leiria (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- visual impairment, assistive navigation, location-based services, object recognition, indoor navigation, mobility assistance, contextual feedback, geographic information systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
