An Eye Input Device for Persons With the Motor Neuron Diseases

Abstract

This study proposes an Eye input device by electro-oculogram (EOG) recognition for individuals with the motor neuron diseases (MNDs). In this study, the level of the unstable EOG signal is transformed into standard logic level signal by using the baseline tracing algorithm. The standard logic level signal is used as Morse code sequences which is recognized by the sliding fuzzy recognition algorithm embedded in a microprocessor. The result demonstrates that the unstable EOG signals can be successfully transformed into alphanumeric characters and the recognition rate is approximately 99% for the novice users. Accordingly, we designed an inexpensive user computer interface for helping the disabled persons to communicate with others, the user can input text with their eyes to access the computer and household appliances, such as lamps, fans and TV sets.

Creating an AI-Enhanced Morse Code Translation System Based on Images for People with Severe Disabilities

“…Thanks to the rapid progression of technology, numerous augmentative and alternative communication (AAC) solutions have emerged as viable options to facilitate communication and interaction for these patients . These innovative alternatives encompass a wide array of approaches, including eye tracking [8,9], head control devices [10][11][12], infrared control devices [12,13], voice control systems [14], auxiliary physiological signal devices like electrooculogram (EOG) switches [15][16][17], electromyography (EMG) switches [18][19][20], electroencephalography (EEG) devices [21][22][23][24][25][26][27], and scanning auxiliary input tools [28]. Eye-tracking technology has shown substantial contributions in various research areas particularly in health care, education, and industrially.…”

Design of a Code-Maker Translator Assistive Input Device with a Contest Fuzzy Recognition Algorithm for the Severely Disabled

“…Nowadays there exists a myriad of assistive mechanisms which mimic the functions of these input devices for individuals with severe disabilities. These include inductive tongue computer interface [1], eye-controlled device [2], head-controlled device [3,4], infrared-controlled devices [5,6], voicecontrolled device [7], and physiological signals assistive device (such as Electrooculogram (EOG) switch [8][9][10], Electromyography (EMG) switch [11][12][13], and Electroencephalogram (EEG) [14][15][16][17][18][19][20]). However, many assistive input devices provide a mode of switch scanning in which one master unit follows the sequence check status of the slave unit for the input of text characters, and this tends to be rather slow.…”

Data input and content exploration in scenarios with restrictions

“…The internal and external rotation of the foot and leg, using the heel as the pivot, are sufficient to generate dots and dashes, the symbols that compose the characters in Morse Code. Other works have also been based on Morse Code, but use different input techniques, for instance, recognition of the open/close status of lips [Chen et al, 2008] and electro-oculogram (EOG) recognition [Wu et al, 2013].…”