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The smart floor: a mechanism for natural user identification and tracking

Published: 01 April 2000 Publication History

Abstract

We have created a system for identifying people based on their footstep force profiles and have tested its accuracy against a large pool of footstep data. This floor system may be used to identify users transparently in their everyday living and working environments. We have created user footstep models based on footstep profile features and have been able to achieve a recognition rate of 93%. We have also shown that the effect of footwear is negligible on recognition accuracy.

References

[1]
Addlesee, M., Jones, A., Livesey, F., and Samaria, F. The ORL Active Floor. IEEE Personal Communications, October 1997, 35-41.
[2]
Moore, A. and Lee, M. S. Efficient Algorithms for Minimizing Cross Validation Error. Proceedings of the 11th International Conference on Machine Learning, Morgan Kaufmann, 1994.

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  • (2024)Frailty Assessment Using a Floor Panel-Type Device by Measuring Center of PressureProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997838:4(1-27)Online publication date: 21-Nov-2024
  • (2024)Wi-Fi based Gait Recognition using Spectrogram and Phase2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10688316(1-6)Online publication date: 15-Jul-2024
  • (2024)User gait biometrics in smart ambient applications through wearable accelerometer signals: an analysis of the influence of training setup on recognition accuracyJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-024-04790-215:7(2967-2979)Online publication date: 15-Apr-2024
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Published In

cover image ACM Conferences
CHI EA '00: CHI '00 Extended Abstracts on Human Factors in Computing Systems
April 2000
406 pages
ISBN:1581132484
DOI:10.1145/633292
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2000

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Author Tags

  1. biometrics
  2. interaction technology
  3. novel input
  4. ubiquitous computing
  5. user identification

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CHI00
Sponsor:
CHI00: Human Factors in Computing Systems
April 1 - 6, 2000
The Hague, The Netherlands

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

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CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
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Cited By

View all
  • (2024)Frailty Assessment Using a Floor Panel-Type Device by Measuring Center of PressureProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997838:4(1-27)Online publication date: 21-Nov-2024
  • (2024)Wi-Fi based Gait Recognition using Spectrogram and Phase2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10688316(1-6)Online publication date: 15-Jul-2024
  • (2024)User gait biometrics in smart ambient applications through wearable accelerometer signals: an analysis of the influence of training setup on recognition accuracyJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-024-04790-215:7(2967-2979)Online publication date: 15-Apr-2024
  • (2024)Exploration of Narrative Design Method and Tool on Intelligent Cockpit Experience DesignCross-Cultural Design10.1007/978-3-031-60913-8_13(178-191)Online publication date: 1-Jun-2024
  • (2023)Smart Floor Mats for a Health Monitoring System Based on Textile Pressure Sensing: Development and Usability StudyJMIR Formative Research10.2196/473257(e47325)Online publication date: 7-Aug-2023
  • (2023)EchoSensor: Fine-grained Ultrasonic Sensing for Smart Home Intrusion DetectionACM Transactions on Sensor Networks10.1145/361565820:1(1-24)Online publication date: 12-Aug-2023
  • (2023)Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A SurveyACM Computing Surveys10.1145/360370556:1(1-37)Online publication date: 13-Jun-2023
  • (2023)How Unique do we Move? Understanding the Human Body and Context Factors for User IdentificationProceedings of Mensch und Computer 202310.1145/3603555.3603574(127-137)Online publication date: 3-Sep-2023
  • (2023)DataDancing: An Exploration of the Design Space For Visualisation View Management for 3D Surfaces and SpacesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580827(1-17)Online publication date: 19-Apr-2023
  • (2023)A systematic review on fall detection systems for elderly healthcareMultimedia Tools and Applications10.1007/s11042-023-17190-z83:14(43277-43302)Online publication date: 16-Oct-2023
  • Show More Cited By

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