Design and Evaluation of EdgeWrite Alphabets for Round Face Smartwatches
Design and Evaluation of EdgeWrite Alphabets for Round Face Smartwatches
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圆面智能手表 EdgeWrite 字母的设计与评估
DOI：
10.1145/2984751.2984757
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and Yuichiro Kinoshita
中科院分区：
文献类型：
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作者：
Keiichi Ueno;Kentaro Go;and Yuichiro Kinoshita
这项研究提出了一个项目，旨在设计和评估一个单笔手势集的字母数字字符，目标是圆形的脸智能手表。我们进行了一项用户研究，有10名参与者，以产生40个字符的基本手势设计。对于每个字符，我们测量了偏好和一致性得分，并发现了为圆脸智能手表设计单笔手势所面临的任何挑战。我们使用机器学习开发了一个手势识别器，它使用反向传播机制来评估设计的手势。使用手势识别器，我们收集了80，000个手势数据，并使用5重交叉验证对其进行评估。平均识别率为92.14%。
This study presents a project aimed at designing and evaluating a unistroke gesture set of alphanumeric characters targeting round-face smartwatches. We conducted a user study with 10 participants to generate the basic gesture design for 40 characters. For each character, we measured the preference and agreement scores and uncovered any challenges faced in designing unistroke gestures for round-face smartwatches. We developed a gesture recognizer using machine learning, which used a backpropagation mechanism to evaluate the designed gestures. Using the gesture recognizer, we collected 80,000 gesture data, and evaluated them with 5-fold cross-validation. The obtained mean recognition rate was 92.14%.