Scholarlink

<p>The lack of effective interaction methods restricts the direct operations of the earphones. Deploying acoustic-based interaction methods on earphones is a promising solution because of the ubiquitous, low-cost, and contact-free nature of the interaction. In this study, we propose HandLeap, a novel earphone interaction scheme to obtain personal classifiers using the gesture samples of a new user. We evaluated the efficacy and efficiency of HandLeap through two user experiments: evaluating the recognition accuracy in both the cold-start and warm-start modes and comparing them with the touch-on input schemes. HandLeap has been shown to help users access various functionalities efficiently in an earphone or comparable smart devices.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Handleap: towards contact-free gesture interaction with earphones via acoustic sensing

  • 期刊论文

  • 发表日期：

    2025年3月11日

查看全文
  • Yu He,
  • Yincheng Jin,
  • Zhanpeng Jin

摘要

The lack of effective interaction methods restricts the direct operations of the earphones. Deploying acoustic-based interaction methods on earphones is a promising solution because of the ubiquitous, low-cost, and contact-free nature of the interaction. In this study, we propose HandLeap, a novel earphone interaction scheme to obtain personal classifiers using the gesture samples of a new user. We evaluated the efficacy and efficiency of HandLeap through two user experiments: evaluating the recognition accuracy in both the cold-start and warm-start modes and comparing them with the touch-on input schemes. HandLeap has been shown to help users access various functionalities efficiently in an earphone or comparable smart devices.