• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (11): 54-64.doi: 10.3901/JME.2023.11.054

• 特邀专栏:智能产品交互设计 • 上一篇    下一篇

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耳机佩戴适配度偏差分析算法研究

严妍, 刘永红, 王海宁   

  1. 湖南大学设计艺术学院 长沙 410082
  • 收稿日期:2021-10-31 修回日期:2022-12-20 出版日期:2023-06-05 发布日期:2023-07-19
  • 通讯作者: 王海宁(通信作者),男,1984年出生,副教授,硕士研究生导师。主要研究方向为人机交互与用户体验、人体测量学与人因工程。E-mail:wanghn@hnu.edu.cn
  • 作者简介:严妍,女,1994年出生,博士研究生。主要研究方向为人因工程与用户体验设计。E-mail:verayan@hnu.edu.cn
  • 基金资助:
    国家重点研发计划资助项目(2021YFF0900600)

An Accurate Deviation Analysis Algorithm for Earphone Fit Analysis

YAN Yan, LIU Yonghong, WANG Haining   

  1. School of Design, Hunan University, Changsha 410082
  • Received:2021-10-31 Revised:2022-12-20 Online:2023-06-05 Published:2023-07-19

摘要: 偏差分析主要描述了待分析模型与已知模型之间的变化与偏离,广泛应用于可穿戴产品与人体的距离描述,对于提升可穿戴产品适配度具有重要意义。然而,现有偏差分析软件无法满足耳机适配设计需求,计算耳机与耳朵模型偏差时会在耳朵点云与耳机点云双侧重复计算,导致结果不连续,与真实情况偏差较大。因此,提出了一种适合于耳机佩戴适配度分析的偏差分析算法,能够对干涉集与间隙集进行有效分类,精确计算耳机与耳朵的偏差值。此外,基于耳机佩戴实验,与现有偏差分析软件计算结果进行差异比较。基于与主观不适配度打分的相关性分析,以及工具与算法的可视化效果比对,进行算法的有效性与可用性验证。结果表明,耳机产品偏差分析算法能有效评价耳机产品的适配度,相较于已有偏差分析工具计算效果具有较大提升。

关键词: 偏差分析, 逆向工程, 耳机适配, 三维扫描

Abstract: Deviation analysis mainly explores significant difference between collected model and known model or standards, which widely used for evaluating the distance between wearable products and human body for improving the fitness. However, the existing deviation analysis method is not fitful for earphones fit evaluation due to repetitive computation with same points, discrete calculated segment, and inconsistency between calculated results and actual deviation. Thus, an accurate deviation analysis algorithm is promoted, which can calculate the deviation between earphone and ear accurately and classify the interference set and gap set effectively. Furthermore, results of deviation analysis algorithm and deviation analysis tool were compared based on the earphone wearing experiment. The usability and validity of improved deviation analysis algorithm were verified by description analysis, correlation analysis with subjective evaluation rating and visualization effect. It is proved that deviation analysis algorithm is more accurate than deviation analysis tool in predicting earphone fit.

Key words: deviation analysis, reverse engineering, earphone fit, 3D scanner

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