Article

A pressure sensing floor for interactive media applications

Authors:

Prashant Srinivasan,

David Birchfield,

Gang Qian,

Assegid KidanéAuthors Info & Claims

ACE '05: Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology

Pages 278 - 281

https://doi.org/10.1145/1178477.1178526

Published: 15 June 2005 Publication History

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Abstract

This paper explores the design of a reconfigurable large-area high-resolution pressure sensing floor to help study human dance movement. By measuring the pressure of a user interacting with the system, our device is able to provide real-time knowledge about both the location of the performer on the floor as well as the amount and distribution of force being exerted on the floor. This system has been designed to closely integrate and synchronize with external systems including marker-based motion capture systems, audio-sensing equipment and video-sensing technology, thus allowing for robust multimodal sensing of a subject in the integrated environment. Furthermore, the mats comprising the floor can be readily re-arranged in order to allow for a large number of configurations. Some other possible applications of the pressure sensing floor include virtual reality based entertainment systems or video game control interfaces as well as rehabilitation projects for disabled people with foot or motor-control disorders.

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Cited By

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Akhavan Safaei EMoradi MHonarvar M(2024)Enhancing Accuracy of Low-Cost Floor Sensor Data for Human Localization Using the Human SLIP ModelIEEE Sensors Journal10.1109/JSEN.2024.337868124:10(16316-16324)Online publication date: 15-May-2024
https://doi.org/10.1109/JSEN.2024.3378681
Subbicini GLavagno LLazarescu M(2023)Enhanced Exploration of Neural Network Models for Indoor Human Monitoring2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)10.1109/IWASI58316.2023.10164436(109-114)Online publication date: 8-Jun-2023
https://doi.org/10.1109/IWASI58316.2023.10164436
Yang ZTran LSafaei FLe ATaparugssanagorn A(2022)Real-Time Step Length Estimation in Indoor and Outdoor ScenariosSensors10.3390/s2221847222:21(8472)Online publication date: 3-Nov-2022
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Index Terms

A pressure sensing floor for interactive media applications
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

ACE '05: Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology

June 2005

511 pages

ISBN:1595931104

DOI:10.1145/1178477

General Chair:
Newton Lee
SGP

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: 15 June 2005

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ACE05

ACE05: International Conference on Advances in Computer Entertainment Technology

June 15 - 17, 2005

Valencia, Spain

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Overall Acceptance Rate 36 of 90 submissions, 40%

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Cited By

View all

Akhavan Safaei EMoradi MHonarvar M(2024)Enhancing Accuracy of Low-Cost Floor Sensor Data for Human Localization Using the Human SLIP ModelIEEE Sensors Journal10.1109/JSEN.2024.337868124:10(16316-16324)Online publication date: 15-May-2024
https://doi.org/10.1109/JSEN.2024.3378681
Subbicini GLavagno LLazarescu M(2023)Enhanced Exploration of Neural Network Models for Indoor Human Monitoring2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI)10.1109/IWASI58316.2023.10164436(109-114)Online publication date: 8-Jun-2023
https://doi.org/10.1109/IWASI58316.2023.10164436
Yang ZTran LSafaei FLe ATaparugssanagorn A(2022)Real-Time Step Length Estimation in Indoor and Outdoor ScenariosSensors10.3390/s2221847222:21(8472)Online publication date: 3-Nov-2022
https://doi.org/10.3390/s22218472
Yang ZTran LSafaei F(2022)Step Length Estimation Using the RSSI Method in Walking and Jogging ScenariosSensors10.3390/s2204164022:4(1640)Online publication date: 19-Feb-2022
https://doi.org/10.3390/s22041640
Krestovnikov KErashov ABykov A(2021)Development of Matrix of Combined Force and Proximity Sensors for Use in RoboticsInteractive Collaborative Robotics10.1007/978-3-030-87725-5_10(113-125)Online publication date: 22-Sep-2021
https://doi.org/10.1007/978-3-030-87725-5_10
Fu BDamer NKirchbuchner FKuijper A(2020)Sensing Technology for Human Activity Recognition: A Comprehensive SurveyIEEE Access10.1109/ACCESS.2020.29918918(83791-83820)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2991891
Magnusson CRassmus-Gröhn KRydeman B(2020)Developing a mobile activity game for stroke survivors—lessons learnedJournal on Multimodal User Interfaces10.1007/s12193-020-00342-y14:3(303-312)Online publication date: 23-Jul-2020
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Magnusson CÓlafsdóttir SCaltenco HRassmus-Gröhn KHafsteinsdottir TJónsdóttir HHjaltadóttir IRydeman BMayora OForti SMeyer JMamykina L(2019)Designing Motivating Interactive Balance and Walking Training for Stroke SurvivorsProceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3329189.3329224(327-333)Online publication date: 20-May-2019
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Chadalavada PPalaniappan GChandran VTruong KWigdor D(2018)ID'emProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649072:3(1-28)Online publication date: 18-Sep-2018
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Parzer PPerteneder FProbst KRendl CLeong JSchuetz SVogl ASchwoediauer RKaltenbrunner MBauer SHaller MBaudisch PSchmidt AWilson A(2018)RESiProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3242587.3242664(745-756)Online publication date: 11-Oct-2018
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