• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (11): 54-64.doi: 10.3901/JME.2023.11.054

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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

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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