Facilitating Text Entry on Smartphones with QWERTY Keyboard for Users with Parkinson’s Disease

Author:

Wang Yuntao1,Yu Ao2,Yi Xin3,Zhang Yuanwei4,Chatterjee Ishan5,Patel Shwetak4,Shi Yuanchun1

Affiliation:

1. Department of Computer Science and Technology Tsinghua University, China

2. Global Innovation Exchange Institute Tsinghua University, China

3. Tsinghua University, China

4. University of Washington, United States

5. Paul G. Allen School of Computer Science & Engineering University of Washington, United States

Funder

Natural Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Reference48 articles.

1. 2016. American National Corpus. http://www.anc.org/. 2016. American National Corpus. http://www.anc.org/.

2. Touch behavior with different postures on soft smartphone keyboards

3. Text entry for mobile devices and users with severe motor impairments

4. Personalized input

5. WalkType

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3. Imbalanced ensemble learning in determining Parkinson’s disease using Keystroke dynamics;Expert Systems with Applications;2023-05

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