Development of a wearable braille sensor with a robust recognition system

Kaoru Miyata, Mami Tanaka, Seiji Chonan, Tatsuo Nishizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper is a study on the development of a wearable sensor system for reading Braille. The study is intended to develop a compact tactile sensor system which uses a PVDF (Polyvinylidene Fluoride) film for the sensory receptor. The sensor is mounted onto a fingertip and moved over Braille manually to obtain the output. Since the unsteady movements yield variations in the waveforms, a robust recognition system is required. The performance of the recognition system is highly affected by the transformation method and the classification method. As the investigation of the transformation method, feature vectors of some different forms are extracted and effective forms are explored. In the classification, two methods based on MLPs (Multi-Layerd Perceptrons) are examined. The first method uses plural classifiers, each of which uses the different form of vectors. The next method uses MLPs in the form of dichotomizers to enhance the training quality. The performance of each method is evaluated using test signals. The obtained results show that the robust recognition is achieved appropriately.

Original languageEnglish
Title of host publicationProceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Pages93-98
Number of pages6
DOIs
Publication statusPublished - 2006
Event1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006 - Pisa, Italy
Duration: 2006 Feb 202006 Feb 22

Publication series

NameProceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Volume2006

Other

Other1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
CountryItaly
CityPisa
Period06/2/2006/2/22

Keywords

  • Braille
  • Neural network
  • PVDF film
  • Recognition system
  • Tactile sensor

ASJC Scopus subject areas

  • Engineering(all)

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