Exploring Frequency Modulation in Decoding Edge Perception Through Touch

Результат исследований

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Аннотация

This research explores how different vibration frequencies influence our ability to perceive and identify edges through touch. The study used a PinArray device to simulate various edge shapes, testing if participants could recognize these shapes based on pairing two frequencies (LF-HF). The findings showed that certain frequency combinations in low and medium ranges were particularly effective in conveying step edge and ridge shapes. This has important implications for enhancing tactile technology in fields like robotics and assistive devices by improving the realism of tactile virtual shapes.

Язык оригиналаEnglish
Название основной публикацииHaptics
Подзаголовок основной публикацииUnderstanding Touch; Technology and Systems; Applications and Interaction - 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, Proceedings
РедакторыHiroyuki Kajimoto, Pedro Lopes, Claudio Pacchierotti, Cagatay Basdogan, Monica Gori, Betty Lemaire-Semail, Maud Marchal
ИздательSpringer Science and Business Media Deutschland GmbH
Страницы147-158
Число страниц12
ISBN (печатное издание)9783031700576
DOI
СостояниеPublished - 2025
Опубликовано для внешнего пользованияДа
Событие14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024 - Lille
Продолжительность: июн. 30 2024июл. 3 2024

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том14768 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Conference

Conference14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024
Страна/TерриторияFrance
ГородLille
Период6/30/247/3/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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