Hardness perception through tapping: Peak and impulse of the reaction force reflect the subjective hardness

Kosuke Higashi, Shogo Okamoto, Yoji Yamada, Hikaru Nagano, Masashi Konyo

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Humans can judge the hardness of an object by tapping its surface. To investigate physical indicators for estimating subjective hardness, we analyzed the short-time reaction force caused by tapping various types of objects. We focused on five indicators in the time domain, including the peak force value, peak time, duration, maximum increase rate, and impulse of the reaction force. A strong correlation was observed between the peak force value, peak time, duration, and maximum increase rate. We found that subjective hardness can be predicted by combining the peak force value and impulse of the reaction force. Results suggest that the hardness involving stiffness and damping factor of objects can be estimated from the reaction force caused by tapping objects. Especially, the former and latter are, respectively, associated with the peak force value and impulse of the reaction force.

本文言語English
ホスト出版物のタイトルHaptics
ホスト出版物のサブタイトルScience, Technology, and Applications - 11th International Conference, EuroHaptics 2018, Proceedings
編集者Hong Z. Tan, Hiroyuki Shinoda, Domenico Prattichizzo, Emanuele Ruffaldi, Emanuele Ruffaldi, Antonio Frisoli
出版社Springer Verlag
ページ366-375
ページ数10
ISBN(印刷版)9783319934440
DOI
出版ステータスPublished - 2018 1 1
イベント11th International Conference on Haptics: Science, Technology, and Applications, EuroHaptics 2018 - Pisa, Italy
継続期間: 2018 6 132018 6 16

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10893 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other11th International Conference on Haptics: Science, Technology, and Applications, EuroHaptics 2018
CountryItaly
CityPisa
Period18/6/1318/6/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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