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FingerSense: augmenting expressiveness to physical pushing button by fingertip identification

Published: 24 April 2004 Publication History

Abstract

In this paper, we propose a novel method, FingerSense to enhance the expressiveness of physical buttons. In a FingerSense enabled input device, a pressing action is differentiated according to the finger involved. We modeled the human performance of FingerSense interfaces and derived related parameters from a preliminary usability study. Overall findings indicate that FingerSense is faster compared with traditional keypads when the finger switching action could be paralleled.

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Maltoni, D., Maio, D., and Jain, A., Prabhakar, S., Handbook of Fingerprint Recognition, ISBN 0-387-95431-7, Springer, 2003
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Wheeler, K.R.; Jorgensen, C.C., Gestures as input: neuroelectric joysticks and keyboards, Pervasive Computing, IEEE, Volume: 2 Issue: 2, April-June 2003, 56--61
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Cited By

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  • (2024)SpeciFingersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435598:1(1-28)Online publication date: 6-Mar-2024
  • (2022)SonarID: Using Sonar to Identify Fingers on a SmartwatchProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501935(1-10)Online publication date: 29-Apr-2022
  • (2022)The smart tapping identification model without installing a control program in modern wireless communication2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)10.1109/IIHC55949.2022.10060067(159-164)Online publication date: 18-Nov-2022
  • Show More Cited By

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cover image ACM Conferences
CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems
April 2004
975 pages
ISBN:1581137036
DOI:10.1145/985921
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 April 2004

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Author Tags

  1. fingerprint recognition
  2. input device
  3. mobile computing
  4. performance modeling
  5. text input

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2024)SpeciFingersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435598:1(1-28)Online publication date: 6-Mar-2024
  • (2022)SonarID: Using Sonar to Identify Fingers on a SmartwatchProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501935(1-10)Online publication date: 29-Apr-2022
  • (2022)The smart tapping identification model without installing a control program in modern wireless communication2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)10.1109/IIHC55949.2022.10060067(159-164)Online publication date: 18-Nov-2022
  • (2021)Smartphones Verification and Identification by the Use of FingerprintAdvanced Techniques for IoT Applications10.1007/978-981-16-4435-1_35(365-373)Online publication date: 3-Aug-2021
  • (2020)Imprint-Based Input Techniques for Touch-Based Mobile DevicesProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428393(32-41)Online publication date: 22-Nov-2020
  • (2020)DeepFisheyeProceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379337.3415818(1132-1146)Online publication date: 20-Oct-2020
  • (2020)MagTouch: Robust Finger Identification for a Smartwatch Using a Magnet Ring and a Built-in MagnetometerProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376234(1-13)Online publication date: 21-Apr-2020
  • (2019)Investigating the feasibility of finger identification on capacitive touchscreens using deep learningProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302295(637-649)Online publication date: 17-Mar-2019
  • (2018)InfiniTouchProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3242587.3242605(779-792)Online publication date: 11-Oct-2018
  • (2018)FingerArc and FingerChordProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3242587.3242589(347-363)Online publication date: 11-Oct-2018
  • Show More Cited By

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