EchoWrite: An Acoustic-Based Finger Input System Without Training

被引:19
|
作者
Wu, Kaishun [1 ,2 ]
Yang, Qiang [1 ]
Yuan, Baojie [1 ]
Zou, Yongpan [1 ]
Ruby, Rukhsana [1 ]
Li, Mo [3 ]
机构
[1] Shenzhen Univ, Coll Comp Sci & Software Engn, 3688 Nanhai Ave, Shenzhen 518060, Guangdong, Peoples R China
[2] Guangzhou HKUST Fok Ying Tung Res Inst, Guangzhou 511458, Peoples R China
[3] Nanyang Technol Univ, Sch Comp Sci & Engn, 50 Nanyang Ave, Singapore 639798, Singapore
关键词
Mobile handsets; Mobile computing; Training; Performance evaluation; Hardware; Tracking; Text recognition; Acoustic signals; texts input; HCI; mobile device;
D O I
10.1109/TMC.2020.2973094
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, wearable devices have become increasingly popular in our lives because of their neat features and stylish appearance. However, their tiny sizes bring about new challenges to human-device interaction such as texts input. Although some novel methods have been put forward, they possess different defects and are not applicable to deal with the problem. As a result, we propose an acoustic-based texts-entry system, i.e., EchoWrite, by which texts can be entered with a finger writing in the air without wearing any additional device. More importantly, different from many previous works, EchoWrite runs in a training-free style which reduces the training overhead and improves system scalability. We implement EchoWrite with commercial devices and conduct comprehensive experiments to evaluate its texts-entry performance. Experimental results show that EchoWrite enables users to enter texts at a speed of 7.5 WPM without practice, and 16.6 WPM after about 30-minute practice. This speed is better than touch screen-based method on smartwatches, and comparable with previous related works. Moreover, EchoWrite provides favorable user experience of entering texts.
引用
收藏
页码:1789 / 1803
页数:15
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