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Human Computer Interface for Quadriplegic People Based on Face Position/gesture Detection

Authors:

Zhen-Peng Bian,

Junhui Hou,

Lap-Pui Chau,

Nadia Magnenat-ThalmannAuthors Info & Claims

MM '14: Proceedings of the 22nd ACM international conference on Multimedia

Pages 1221 - 1224

https://doi.org/10.1145/2647868.2655063

Published: 03 November 2014 Publication History

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Abstract

This paper proposes a human computer interface using a single depth camera for quadriplegic people. The nose position is employed to control the cursor along with the commands provided by mouth's status. The detection of nose position and mouth's status is based on randomized decision tree algorithm.The experimental results show that the proposed interface is comfortable, easy to use, robust, and outperforms the existing assistive technology.

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Cited By

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Thalmann NMishra NTulsulkar G(2021)Nadine the Social Robot: Three Case Studies in Everyday LifeSocial Robotics10.1007/978-3-030-90525-5_10(107-116)Online publication date: 2-Nov-2021
https://doi.org/10.1007/978-3-030-90525-5_10
Bian ZHou JChau LMagnenat-Thalmann N(2016)Facial Position and Expression-Based Human–Computer Interface for Persons With TetraplegiaIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2015.241212520:3(915-924)Online publication date: May-2016
https://doi.org/10.1109/JBHI.2015.2412125

Index Terms

Human Computer Interface for Quadriplegic People Based on Face Position/gesture Detection
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

MM '14: Proceedings of the 22nd ACM international conference on Multimedia

November 2014

1310 pages

ISBN:9781450330633

DOI:10.1145/2647868

General Chairs:
Kien A. Hua
University of Central Florida, USA
,
Yong Rui
Microsoft Research, China
,
Ralf Steinmetz
Technische Universitt Darmstadt, Germany
,
Program Chairs:
Alan Hanjalic
Delft University of Technology, Netherlands
,
Apostol (Paul) Natsev
Google, USA
,
Wenwu Zhu
Tsinghua University, China

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: 03 November 2014

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Nanyang Technological University

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MM '14

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SIGMM

MM '14: 2014 ACM Multimedia Conference

November 3 - 7, 2014

Florida, Orlando, USA

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MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Thalmann NMishra NTulsulkar G(2021)Nadine the Social Robot: Three Case Studies in Everyday LifeSocial Robotics10.1007/978-3-030-90525-5_10(107-116)Online publication date: 2-Nov-2021
https://doi.org/10.1007/978-3-030-90525-5_10
Bian ZHou JChau LMagnenat-Thalmann N(2016)Facial Position and Expression-Based Human–Computer Interface for Persons With TetraplegiaIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2015.241212520:3(915-924)Online publication date: May-2016
https://doi.org/10.1109/JBHI.2015.2412125

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Designing human-computer interfaces for quadriplegic people

Head Gesture Controlled Wheelchair for Quadriplegic Patients

Ability-Based Design: Concept, Principles and Examples

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