PredicTaps: Latency reduction technique for single-taps based on recognition for single-tap or double-tap

Kaori Ikematsu, Kota Tsubouchi, Shota Yamanaka

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

Abstract

In general, a system with touch input waits for a certain period of time (typically 350 - 500 ms) for a subsequent tap to determine whether the initial tap was a single tap or the first tap of a double tap. This results in latency of hundreds of milliseconds for a single-tap event. To reduce the latency, we propose a novel machine-learning-based tap recognition method called "PredicTaps". In the PredicTaps method, by using touch-event data gathered from the capacitive touch surface, the system immediately predicts whether a detected tap is a single tap or the first tap of a double tap. Then, in accordance with the prediction, the system determines whether to execute a single-tap event immediately or wait for a subsequent second tap. This paper reports the feasibility study of PredicTaps.

Original languageEnglish
Title of host publicationCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450368193
DOIs
Publication statusPublished - 2020 Apr 25
Externally publishedYes
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
Duration: 2020 Apr 252020 Apr 30

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
CountryUnited States
CityHonolulu
Period20/4/2520/4/30

Keywords

  • Double-tap
  • Latency
  • Single-tap
  • Touch inputs

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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