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Article
Publication date: 18 April 2017

Ter-Feng Wu, Pu-Sheng Tsai, Nien-Tsu Hu and Jen-Yang Chen

Visually impaired people have long been living in the dark. They cannot realize the colorful world with their vision, so they rely on hearing, touch and smell to feel the space…

418

Abstract

Purpose

Visually impaired people have long been living in the dark. They cannot realize the colorful world with their vision, so they rely on hearing, touch and smell to feel the space they live in. Lacking image information, they face challenges in the external environment and barrier spaces. They face danger that is hundreds of times higher than that faced by normal people. Especially during outdoor activities, they can only explore the surrounding environment aided by their hearing and crutches and then based on a vague impression speculate where they are located. To let the blind confidently take each step, this paper proposes sticking the electronic tag of the radio-frequency identification (RFID) system on the back of guide bricks.

Design/methodology/approach

Thus, the RFID reader, ultrasonic sensor and voice chip on a wheeled mobile robot link the front end to the crutch. Once the blind person nears a guide brick, the RFID will read the message on the tag through the voice broadcast system, and a voice will inform the visually impaired person of the direction to walk and information of the surrounding environment. In addition, the CMOS image sensor set up in the wheeled mobile robot is used to detect the black marking on the guide brick and to guide the blind to walk forward or turn around between the two markings. Finally, the lithium battery charging control unit was installed on the wheeled mobile robot. The ATtiny25 microcontroller conducts the battery charge and discharge control and monitoring of the current battery capacity.

Findings

The development of this system will let visually impaired people acquire environmental information, road guidance function and nearby traffic information.

Originality/value

Through rich spatial environment messages, the blind can have the confidence and courage to go outside.

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Article
Publication date: 31 December 2006

Wen‐Chen Hu, Jyh‐Haw Yeh, Lixin Fu and Hung‐Jen Yang

Using Internet‐enabled mobile handheld devices to access the World Wide Web is a promising addition to the Web and traditional e‐commerce. Mobile handheld devices provide…

1069

Abstract

Using Internet‐enabled mobile handheld devices to access the World Wide Web is a promising addition to the Web and traditional e‐commerce. Mobile handheld devices provide convenience and portable access to the huge information on the Internet for mobile users from anywhere and at anytime. However, mobile commerce has not enjoyed the same level of success as the e‐commerce has so far because mobile Web contents are scarce and mostly awkward for browsing. The major reason of the problems is most software engineers are not familiar with handheld devices, let alone programming for them. To help software engineers better understand this subject, this article gives a comprehensive study of handheld computing and programming for mobile commerce. It includes five major topics: (i) mobile commerce systems, (ii) mobile handheld devices, (iii) handheld computing, (iv) server‐side handheld computing and programming, and (v) client‐side handheld computing and programming. The most popular server‐side handheld applications are mostly functioning through mobile Web contents, which are constructed by using only few technologies and languages. On the other hand, various environments/languages are available for client‐side handheld computing and programming. Five of the most popular are (i) BREW, (ii) J2ME, (iii) Palm OS, (iv) Symbian OS, and (v) Windows Mobile. They are using either C/C++ or Java programming languages. This article will explain J2ME, a micro version of Java, and Palm OS programming, using C, by giving step‐by‐step procedures of J2ME and Palm application development.

Details

International Journal of Web Information Systems, vol. 2 no. 3/4
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 20 February 2009

Che‐Chern Lin, Hung‐Jen Yang and Lung‐Hsing Kuo

The purpose of this paper is to explore teachers' behaviours in completing an internet survey using decision trees. Furthermore, to reduce the complexity of the decision trees, a…

1426

Abstract

Purpose

The purpose of this paper is to explore teachers' behaviours in completing an internet survey using decision trees. Furthermore, to reduce the complexity of the decision trees, a statistical technique was used to decrease the number of input variables in the decision trees.

Design/methodology/approach

A dataset of 47,647 samples was used to build the decision trees. These samples were collected from an internet survey of teachers in Taiwan. The output of the decision trees was the answering time (the time taken to complete the internet questionnaire). Eight variables were selected as the inputs for the decision trees. Two techniques were employed to build the decision trees – the exhaustive chi‐squared automatic interaction detector (ECHAID) and classification and regression tree (CRT) analysis. To reduce the complexity of the decision models, factor analysis technique was used to decrease the data dimensions (number of input variables) and to obtain a simplified decision model. One‐way ANOVA was used to validate the effects of the dimension reduction.

Findings

From the results of the factor analysis, a simplified decision tree is recommended using four input variables – teaching years, school level, sex and area. The classification accuracy of the simplified model is statistically equivalent to that of the original one, which used eight input variables.

Originality/value

The complexity of decision trees theoretically depends on the number of input variables. This study used a statistical technique to decrease the number of input variables and thereby reduce the complexity of the decision trees. A statistical technique was employed to validate that the classification accuracy is not statistically different between the original decision model and the simplified one. The decision models proposed in this paper can be applied in estimating the answering time for completing a questionnaire during an internet survey.

Details

Online Information Review, vol. 33 no. 1
Type: Research Article
ISSN: 1468-4527

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