scispace - formally typeset
Search or ask a question
Journal ArticleDOI

A framework for communication between visually impaired, hearing impaired and speech impaired using arduino

01 Nov 2017-Vol. 263, Iss: 4, pp 042048
About: This article is published in Microelectronics Systems Education.The article was published on 2017-11-01 and is currently open access. It has received 1 citations till now.
Citations
More filters
Proceedings ArticleDOI
01 Sep 2018
TL;DR: A device on the Arduino platform, using an inexpensive computer vision camera, and vibration motors for vibrotactile feedback, installed in a fanny pack worn around the waist, and the goal of avoiding obstacles was achieved.
Abstract: This paper presents an engineering design that focuses on creating a wearable, assistive technology, for the visually impaired, that allows them to navigate their indoor surroundings. This paper discusses about a device on the Arduino platform, using an inexpensive computer vision camera, and vibration motors for vibrotactile feedback, installed in a fanny pack worn around the waist. The test criteria was based off on whether the user is able to identify the obstacle, avoid the obstacle, reach the destination, and make it through the obstacle course without touching a single obstacle. Based on these actions, the success (%) was calculated for one, two and three obstacles. In conclusion, the goal of avoiding obstacles was achieved. It was found that the product was 87.5% successful with one obstacle, 85% successful with two obstacles, and 72.5% successful with three obstacles. The error count increased as the number of obstacles increased. It can be improved with a more sophisticated computer vision camera, with the capability to determine the depth of objects. Additionally, there are numerous qualitative learnings related to the pace of walking, the distance between objects, and external light conditions. Improving these components could make the device safer, and more apt for mass production.

6 citations

References
More filters
Proceedings ArticleDOI
29 Oct 2007
TL;DR: The Software Project Management Antipattern Intelligent System (PROMAISE) is proposed as a Web-enabled knowledge-base framework that uses antipattern OWL ontologies in order to provide intelligent and up to date advice to software project managers regarding the selection of appropriate antipatTERNs in a software project.
Abstract: The Software Project Management Antipattern Intelligent System (PROMAISE) is proposed as a Web-enabled knowledge-base framework that uses antipattern OWL ontologies in order to provide intelligent and up to date advice to software project managers regarding the selection of appropriate antipatterns in a software project. Antipatterns provide information on commonly occurring solutions to problems that generate negative consequences. These mechanisms are documented using informal paper based structures that do not readily support knowledge sharing and reuse. Antipattern OWL ontologies can be used to build a dynamic antipattern knowledge base, which can update itself automatically. This will allow the accessibility and transferability of up-to-date computer-mediated software project management knowledge to software project managers by encoding antipatterns into computer understandable ontologies. PROMAISE can function with this knowledge base in order to assist software project managers in the process of selecting applicable antipatterns.

18 citations