IObjectHelper: An Object-Identification System for Assisting Visual Impairment People

• Main Authors: JHAN,KUN-HAO, 詹焜豪
• Other Authors: PAN,JIAN-YI
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/jf3vt4

碩士 === 慈濟大學 === 醫學資訊學系碩士班 === 104 === According to the report by Ministry of Health and Welfare of Taiwan, the visual impairment population is 57,197 in 2015. Visually impaired people faced a great difficulties and dangers in their life. These people also lack of self-confidence in their daily life, and become the burden on the family. The objective of this study is to develop an object identification system for assisting visual impairment people, named iObjectHelper. This study is based on Near Field Communication (NFC) and Beacon communication technology. The proposed system integrates the Beacon sensors, NFC tags and smart phone to record information of objects, navigate the direction (distance) and identify the objects. The proposed system is work on Android which is the most popular smartphone operating system. There are two modes for the target users: the first user-mode is for family or caregivers to setup (initialize) the environment, and to record the objects information. The second user-mode is designed for visually impaired people to navigate the objects by using Bluetooth to detect Beacon and identify the objects by using smartphone to scan tag on them. The proposed approach can help visually impaired people to increasing their autonomy and independence, improving their quality and efficiency of live, and also promoting the confidence and reducing the burden of family. The system can be easy applied in the stores, market or museum to provide a more friendly environment for the visually impairment people.