Human computer interface for quadriplegic people based on face position/gesture detection

Zhen-Peng Bian; Junhui Hou; Lap-Pui Chau; Nadia Magnenat-Thalmann

doi:10.1145/2647868.2655063

Human computer interface for quadriplegic people based on face position/gesture detection

Zhen-Peng Bian, Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia
Publisher	Association for Computing Machinery
Pages	1221-1224
ISBN (Print)	9781450330633
DOIs	https://doi.org/10.1145/2647868.2655063
Publication status	Published - 3 Nov 2014
Externally published	Yes
Event	2014 ACM Conference on Multimedia, MM 2014 - Orlando, United States Duration: 3 Nov 2014 → 7 Nov 2014

Conference

Conference	2014 ACM Conference on Multimedia, MM 2014
Place	United States
City	Orlando
Period	3/11/14 → 7/11/14

Research Keywords

Assistive technology
Computer access
Hand-free interface
Humancomputer interaction (HCI)
Quadriplegic
Severe disabilities
Vision-based

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10.1145/2647868.2655063

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@inproceedings{5825ae6095d54929803ef19602d63706,

title = "Human computer interface for quadriplegic people based on face position/gesture detection",

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.",

keywords = "Assistive technology, Computer access, Hand-free interface, Humancomputer interaction (HCI), Quadriplegic, Severe disabilities, Vision-based",

author = "Zhen-Peng Bian and Junhui Hou and Lap-Pui Chau and Nadia Magnenat-Thalmann",

year = "2014",

month = nov,

day = "3",

doi = "10.1145/2647868.2655063",

language = "English",

isbn = "9781450330633",

pages = "1221--1224",

booktitle = "MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia",

publisher = "Association for Computing Machinery",

address = "United States",

note = "2014 ACM Conference on Multimedia, MM 2014 ; Conference date: 03-11-2014 Through 07-11-2014",

}

Bian, Z-P, Hou, J, Chau, L-P & Magnenat-Thalmann, N 2014, Human computer interface for quadriplegic people based on face position/gesture detection. in MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia. Association for Computing Machinery, pp. 1221-1224, 2014 ACM Conference on Multimedia, MM 2014, Orlando, United States, 3/11/14. https://doi.org/10.1145/2647868.2655063

Human computer interface for quadriplegic people based on face position/gesture detection. / Bian, Zhen-Peng; Hou, Junhui; Chau, Lap-Pui et al.
MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia. Association for Computing Machinery, 2014. p. 1221-1224.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Human computer interface for quadriplegic people based on face position/gesture detection

AU - Bian, Zhen-Peng

AU - Hou, Junhui

AU - Chau, Lap-Pui

AU - Magnenat-Thalmann, Nadia

PY - 2014/11/3

Y1 - 2014/11/3

N2 - 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.

AB - 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.

KW - Assistive technology

KW - Computer access

KW - Hand-free interface

KW - Humancomputer interaction (HCI)

KW - Quadriplegic

KW - Severe disabilities

KW - Vision-based

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84913580349&origin=recordpage

U2 - 10.1145/2647868.2655063

DO - 10.1145/2647868.2655063

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450330633

SP - 1221

EP - 1224

BT - MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia

PB - Association for Computing Machinery

T2 - 2014 ACM Conference on Multimedia, MM 2014

Y2 - 3 November 2014 through 7 November 2014

ER -

Human computer interface for quadriplegic people based on face position/gesture detection

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Research Keywords

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