FingerTalk: Real-time fingertip trajectories tracking service based on iottalk

Yun-Wei Lin, Lin Hang Kao, Chun Ting Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Internet of Things (IoT) integrates with finger tracking and 3D signature verification can provide the user authentication service for these IoT applications which require user identification and authorization, such as the home automation and security system. This work develops two modules. The FingerTalk module provides the fingertip trajectories tracking service based on a Leap Motion camera and IoTtalk, The AirSig module provides 3D signature verification service to recognize whether a signature is signed form the authenticated user. The AirSig module requires only two user signature samples to train the neural network model which significantly reduces the process time for signature collection. The validation results from 10 people show the average accuracy is up to 93.6% on 3D signature verification.

Original languageEnglish
Title of host publicationAPNOMS 2020 - 2020 21st Asia-Pacific Network Operations and Management Symposium
Subtitle of host publicationTowards Service and Networking Intelligence for Humanity
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages251-254
Number of pages4
ISBN (Electronic)9788995004388
DOIs
StatePublished - Sep 2020
Event21st Asia-Pacific Network Operations and Management Symposium, APNOMS 2020 - Daegu, Korea, Republic of
Duration: 22 Sep 202025 Sep 2020

Publication series

NameAPNOMS 2020 - 2020 21st Asia-Pacific Network Operations and Management Symposium: Towards Service and Networking Intelligence for Humanity

Conference

Conference21st Asia-Pacific Network Operations and Management Symposium, APNOMS 2020
CountryKorea, Republic of
CityDaegu
Period22/09/2025/09/20

Keywords

  • 3D sequence analysis
  • Internet of Things
  • Signature verification

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