Hover detection using active acoustic sensing

Masaya Tsuruta*, Shuhei Aoyama, Arika Yoshida, Buntarou Shizuki, Jiro Tanaka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


In this paper, we present a technique for hover and touch detection using Active Acoustic Sensing. This sensing technique analyzes the resonant property of the target object and the air around it. To verify whether the detection technique works, we conduct an experiment to discriminate between hovering the hand over the piezoelectric elements placed on a target object and touching the same object. As a result of our experiment, hovering was detected with 96.7% accuracy and touching was detected with 100% accuracy.

Original languageEnglish
Title of host publicationHuman-Computer Interaction : Interaction Platforms and Techniques - 18th International Conference, HCI International 2016, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783319395159
Publication statusPublished - 2016
Externally publishedYes
Event18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: 2016 Jul 172016 Jul 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Other18th International Conference on Human-Computer Interaction, HCI International 2016


  • Acoustic classification
  • Everyday surfaces
  • Frequency analysis
  • Machine learning
  • Piezoelectric sensor
  • Prototyping
  • Proximity sensing
  • Touch activities
  • Ultrasonic

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science


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