Enhancing User Navigation Experience, Object identification and Surface Depth Detection for "Low Vision" with Proposed Electronic Cane

2019 ◽  
Author(s):  
Vinod Kumar Shukla ◽  
Amit Verma
Keyword(s):  
Low Vision ◽  
Object Identification ◽  
Navigation Experience ◽  
User Navigation ◽  
Depth Detection

scholarly journals To Research the Advantages and Limitations of AI based App in the Indian context for the Visually Challenged

2019 ◽  
Vol 8 (6S4) ◽  
pp. 271-278
Keyword(s):  
Mixed Methods Research ◽  
Visually Impaired ◽  
Low Vision ◽  
Smart Phone ◽  
Value Added ◽  
Object Identification ◽  
Indian Context ◽  
Text Feature ◽  
Visually Challenged ◽  
Computer Literate

Artificial Intelligence (AI) is going to be the frontrunner in any of the modern day communication going forward and so this research is done to find out how AI helps in visual imagery recognition for enhancing the accessibility of the visually impaired through apps like AI poly AI for recognizing people, texts, objects and colors. 40 visually impaired from the Atmadeepam Society (Nagpur, India) who are computer literate and smart phone users considered for the study through the mixed methods research where quantitative analysis is done In addition, Qualitative analysis through Phenomenology method is done Almost 80 percent of the low vision respondents are in favor of these accessibility apps being completely helpful whereas the rest have faced certain inconvenience due to these apps in functioning. From the findings, it is evident that these visually impaired people are extremely happy in using these accessibility tools to overcome their navigation challenges and also get value added quotient added to their knowledge through the text feature of these AI enabled apps On the other hand, research finding also shows a set of people who are not convinced fully with the AI based apps functioning. These were typically based on incorrect object identification, difficulty in understanding the accent and lacks the facility for regional language converter The visually impaired will be better equipped to function due to raised confidence, positive attitude and thereby gaining a place in the society as active contributors to the economy that will assist in disability integration The paper attempts to study the modern AI accessibility apps especially related to object recognition in the Indian context for the visually impaired

scholarly journals ‘Focus on Transforming Than Reforming the AI based Image Recognizing App for the Visually Challenged, in the Indian context.’

2019 ◽  
Vol 8 (6S) ◽  
pp. 203-210
Keyword(s):  
Research Finding ◽  
Visually Impaired ◽  
Low Vision ◽  
Smart Phone ◽  
Object Identification ◽  
Regional Language ◽  
Indian Context ◽  
Visually Impaired People ◽  
Visually Challenged ◽  
Computer Literate

Artificial Intelligence (AI) is going to be the front runner in any of the modern day communication going forward and so this research is done to find out how AI helps in visual imagery recognition for enhancing the accessibility of the visually impaired through apps like AI poly AI for recognizing people, texts, objects and colors. 50 visually impaired from the Atmadeepam Society (Nagpur, India) who are computer literate and smart phone users considered for the study through the mixed methods. Almost 80 percent of the low vision respondents are in favor of these accessibility apps being completely helpful whereas the rest have faced certain inconvenience due to these apps in functioning. From the findings, it is evident that these visually impaired people are extremely happy in using these accessibility tools to overcome their navigation challenges On the other hand, research finding also shows a set of people who are not convinced fully with the AI based apps functioning. These were typically based on incorrect object identification, difficulty in understanding the accent and lacks the facility for regional language converter The visually impaired will be better equipped to function due to raised confidence, positive attitude and thereby gaining a place in the society as active contributors to the economy that will assist in disability integration The paper attempts to study the modern AI accessibility apps especially related to object recognition in the Indian context for the visually impaired

Komplikasi Pasca Operasi sebagai Faktor Risiko Timbulnya Low Vision Pasca Operasi Katarak

2019 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Rizki Anisa Nurjanah ◽  
Septiani Nadra Indawaty ◽  
Mitayani Purwoko
Keyword(s):  
Low Vision ◽  
Cross Sectional

Tajam penglihatan adalah daya lihat yang mampu dilakukan seseorang. Tajam penglihatan normal adalah apabila seseorang dapat melihat huruf, angka, maupun bentuk dalam berbagai macam ukuran pada kartu Snellen dengan jarak 20 kaki (20/20). Katarak merupakan salah satu penyebab terjadinya gangguan penglihatan terbanyak kedua setelah gangguan refraksi yang tidak terkoreksi. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi timbulnya low vision setelah operasi bedah katarak di Rumah Sakit Muhammadiyah Palembang. Penelitian ini menggunakan desain penelitian deskriptif kuantitatif dengan pendekatan cross sectional menggunakan data rekam medis pasien yang sudah menjalani operasi katarak di Rumah Sakit Muhammadiyah Palembang periode Januari 2017-April 2018. Besar sampel penelitian ini adalah 31 orang. Hasil penelitian ini menunjukkan bahwa pada kontrol keempat pasca operasi, ada 38,7% subjek yang tetap memiliki low vision. Subjek penelitian sebagian besar terdiri dari individu lansia akhir (74,2%), terdapat 2 orang subjek yang mengalami komplikasi intra operasi (6,4%), dan terdapat 9 orang subjek yang mengalami komplikasi pasca operasi (29,1%). Timbulnya lowvision setelah operasi katarak tidak dipengaruhi oleh usia (p = 1,000) dan komplikasi intraoperasi (p = 1,000), namun dipengaruhi oleh adanya komplikasi pasca operasi (p = 0,043). Faktor risiko timbulnya lowvision pasca operasi katarak adalah adanya komplikasi pasca operasi. Oleh karena itu, perlu upaya pencegahan dari berbagai sisi agar tidak terjadi komplikasi pasca operasi katarak.

Editorial

2017 ◽  
Author(s):  
Vu Chi Kien ◽  
Do Ngoc Minh ◽  
Nguyen Hoang Ha ◽  
Nguyen Linh Trung
Keyword(s):  
Good Practice ◽  
Scientific Publication ◽  
Associate Editor ◽  
Open Access Journal ◽  
Object Identification ◽  
Online Journal ◽  
International Visibility ◽  
National University ◽  
Standard Practices

Dear readers,The year 2017 marks the 55th anniversary of the Journal of Information & Communications of the Ministry of Information and Communications, and the 18th anniversary of its scientific publication – the Research and Development on Information and Communication Technology (RD-ICT) journal. Again, the purpose of RD-ICT is to provide a forum for researchers and professionals to disseminate original and innovative ideas in the fields of information technology, communications and electronics in Vietnam and worldwide.Without kind support and invaluable contribution of readers and authors, and hard work of the anonymous reviewers and editors under the former editorship of Prof. Nguyễn Thúc Hải, Prof. Trần Văn Lộc and Prof. Nguyễn Cảnh Tuấn, RD-ICT would not be what it is today – a total of 37 issues in Vietnamese and 14 issues in English.To contribute to the development of research in Vietnam, toward standard practices, high quality and international visibility, RD-ICT has been taking measures by following current practices of prestigious international research journals. In this editorial, we would like to inform you some of the things we have been doing lately.Since June 2014, RD-ICT has applied online journal management and publishing, thanks to the well-known open-source Open Journal System of the Public Knowledge Project, which is used by thousands of online scientific journals worldwide. The editorial board of RD-ICT is currently being extended to include international prominent scientists, thus forming a team of international associate editors, under the complementary technical editorship of Prof. Đỗ Ngọc Minh (University of Illinois at Urbana-Champaign, United States), Prof. Nguyễn Hoàng Hà (University of Saskatchewan, Canada) and Prof. Nguyễn Linh Trung (Vietnam National University, Hanoi). Each submission is now assigned to an associate editor who then coordinates the review process and makes editorial decision.For improved paper quality in terms of organization and presentation, authors are guided to good practice of technical paper writing. In addition, accepted submissions are now copy-edited, by the corresponding associate editors, and laid out using LATEX.Apart from already being an open-access journal, RD-ICT is also looking into other measures to increase its visibility, such as all-English publishing, digital object identification, Google Scholar citation, and SCOPUS indexing.Taking the opportunity of informing the above changes, we would like to, again, express our sincere gratitude and appreciation to the readers, authors, reviewers and editors of RD-ICT, and to the leadership of the Ministry of Information and Communications and its predecessors – the Directorate General of Posts and Telecommunications, the Ministry of Post and Telecommunications – for their continued support and contribution to RD-ICT.We look forward to your comments and feedback for better developing the RD-ICT journal for Vietnam.Sincerely,Vũ Chí Kiên, Editor-in-ChiefĐỗ Ngọc Minh, Nguyễn Hoàng Hà, Nguyễn Linh Trung, Technical Editors-in-Chief

Clinical Aspect of Low Vision Patients due to Macular Degeneration

2009 ◽  
Vol 50 (2) ◽  
pp. 280 ◽  
Author(s):  
Sang Beom Han ◽  
Ji Won Kwon ◽  
Young Keun Han ◽  
Won Ryang Wee ◽  
Jin Hak Lee
Keyword(s):  
Macular Degeneration ◽  
Low Vision ◽  
Clinical Aspect

Clinical effect of low vision aids

1999 ◽  
Vol 13 (1) ◽  
pp. 52 ◽  
Author(s):  
Y H Ji ◽  
H J Park ◽  
S Y Oh
Keyword(s):  
Clinical Effect ◽  
Low Vision ◽  
Low Vision Aids

A Web Usage Mining Approach to User Navigation Pattern and Prediction in Web Log Data

2012 ◽  
Vol 3 (4) ◽  
pp. 92-94
Author(s):  
SUJATHA PADMAKUMAR ◽  
◽  
Dr.PUNITHAVALLI Dr.PUNITHAVALLI ◽  
Dr.RANJITH Dr.RANJITH
Keyword(s):  
Web Usage Mining ◽  
Log Data ◽  
Web Log ◽  
Web Usage ◽  
User Navigation

ON METHODS OF OBJECT DETECTION IN VIDEO STREAMS

2017 ◽  
Vol 2 (1) ◽  
pp. 80-87
Author(s):  
Puyda V. ◽  
◽  
Stoian. A.
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Open Source ◽  
Feature Detection ◽  
Video Stream ◽  
Object Identification ◽  
Vision Systems ◽  
Modern Computer ◽  
Computer Vision Systems ◽  
Open Source Hardware

Detecting objects in a video stream is a typical problem in modern computer vision systems that are used in multiple areas. Object detection can be done on both static images and on frames of a video stream. Essentially, object detection means finding color and intensity non-uniformities which can be treated as physical objects. Beside that, the operations of finding coordinates, size and other characteristics of these non-uniformities that can be used to solve other computer vision related problems like object identification can be executed. In this paper, we study three algorithms which can be used to detect objects of different nature and are based on different approaches: detection of color non-uniformities, frame difference and feature detection. As the input data, we use a video stream which is obtained from a video camera or from an mp4 video file. Simulations and testing of the algoritms were done on a universal computer based on an open-source hardware, built on the Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC processor with frequency 1,5GHz. The software was created in Visual Studio 2019 using OpenCV 4 on Windows 10 and on a universal computer operated under Linux (Raspbian Buster OS) for an open-source hardware. In the paper, the methods under consideration are compared. The results of the paper can be used in research and development of modern computer vision systems used for different purposes. Keywords: object detection, feature points, keypoints, ORB detector, computer vision, motion detection, HSV model color

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