Eye typing of Chinese characters

Zhang, Liang; Qiang, Fu; Chi, Zheru

doi:10.1145/2168556.2168604

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…A few works on Chinese language were focused to develop effective interfaces accommodating large set of characters in pinyin [ [14] ]. To the best of our knowledge, no such work has been proposed toward developing eye typing interface for Indian language.…”

Section: Introductionmentioning

confidence: 99%

Eyeboard++

Sarcar

Panwar

2013

Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction

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Of late, eye gaze has become an important modality of text entry in large and small display digital devices. Despite many tools being developed, issues like minimizing dwell time and visual search time, enhancing accuracy of composed text, eye-controlled mouse movement stability etc. are yet to be addressed. Moreover, eye typing interfaces having a large number of keys suffer from many problems like selecting wrong characters, more character searching time etc. Some linguistic issues often decline in minimizing dwell time incurred for character by character based eye typing task. The aforementioned issues are prominently evolved in case of Indian languages for its many language related issues. In this paper, we propose a gaze-based text entry system EyeBoard++ for Hindi, national language of India which minimizes dwell time by introducing word completion and word prediction methodologies side by side mitigates visual search time by highlighting next probable characters. Performance evaluation shows that proposed interface achieves text entry rate on an average 9.63 words per minute. As designed, the proposed interface can effortlessly be suited in medium-sized display devices like Tablet PC, PDA etc. The proposed interface design approach, in fact, provides a solution to deal with complexity in Indian languages and can be extended to many other languages in the world. Also, the developed system can be used by the people with motor disabilities.

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Section: Introductionmentioning

confidence: 99%

Eyeboard++

Sarcar

Panwar

2013

Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction

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A word-prediction eye-typing approach for Brazilian Portuguese entries using geometric movements

Ramos

Hanada

Pimentel

et al. 2017

Proceedings of the 35th ACM International Conference on the Design of Communication

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Eye Strokes: An Eye-gaze Drawing System for Mandarin Characters

Tong,

Tan,

Chen

2024

Proc. ACM Comput. Graph. Interact. Tech.

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Studies showed that 61% of the elderly in Singapore are English illiterate, and it is essential to find alternatives for non-English literate patients who have literacy in the next most common language, Mandarin. Many eye typing solutions use Mandarin hanyu pinyin, a phonetic system similar to eye typing in the English language. However, most Mandarin-speaking elderly in Singapore are not familiar with Mandarin hanyu pinyin despite being able to read and write Mandarin characters, which makes eye typing redundant. We propose Eye Strokes, a technique to capture eye gaze, as an input modality to identify Mandarin characters for motor neurone disease patients to communicate. This method uses the eye gaze as strokes in a Mandarin character to predict and identify the Mandarin word the user intends to communicate. The proof-of-ideation evaluation discussed in the paper shows that our technique is feasible with promising character prediction accuracy for further investigations, although some limitations exist.

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Eye typing of Chinese characters

Cited by 4 publications

References 5 publications

Eyeboard++

Eyeboard++

A word-prediction eye-typing approach for Brazilian Portuguese entries using geometric movements

Eye Strokes: An Eye-gaze Drawing System for Mandarin Characters

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