S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Fuzzy-Controlled Image Morse Code Input System

Chung-Min Wu, Cheng-Fa Yen, Yeou-Jiunn Chen, Shih-Chung Chen, and Cheng-Chi Tai

(Received June 25, 2021; Accepted November 22, 2021)

Keywords: assistive communication system, disability, image recognition, Morse code, fuzzy

An image assistive communication system with a real-time fuzzy-controlled image Morse code input (FCIMCI) function was developed to help severely disabled people, such as those with cerebral palsy (CP) or spinal cord injury (SCI), communicate with other people or machines by using lip shape image recognition without using any apparatus. The real-time FCIMCI system offers the functions of text input and mouse control, replacing the traditional keyboard and mouse. The self-developed image recognition techniques include skin color detection, face-shape confirmation, lip location, and opened/closed lip status identification for Morse code conversion. In this paper, we apply the adjustable fuzzy recognition algorithm to tune the threshold values automatically for identifying Morse code. The experimental results of real-time lip image recognition show an average accuracy rate higher than 94% under various environmental conditions. Meanwhile, the average accuracy rate of image Morse code recognition experiments is more than 93.85%. According to the experimental results and a case study of SCI, we demonstrate that the FCIMCI system has real-time performance and good recognition efficiency. It is a novel assistive communication system based on image Morse code techniques and has the practicality and feasibility to help severely disabled people communicate with others.

Corresponding author: Shih-Chung Chen




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