Visualisation based feedback control for multiple sensor fusion

Gui Yun Tian; Duke Gledhill

doi:10.1109/IV.2006.124

Visualisation based feedback control for multiple sensor fusion

Gui Yun Tian, Duke Gledhill

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

This paper presents a new approach for adaptive weighting schemes for multiple sensor fusion by using visualisation feedback control. A visualisation schema is used to coordinate the information content capture of different features from multiple sensors. The end-users can interact with the training sample distribution to obtain weights for the sensor data fusion and decision making. Based on the proposed fusion approach, some applications such as audio-visual biometric authentication and multi-modal surface measurement are discussed.

Original language	English
Title of host publication	Information Visualization 2006, IV06
Pages	553-556
Number of pages	4
DOIs	https://doi.org/10.1109/IV.2006.124
Publication status	Published - 2006
Event	Information Visualization 2006 - London, United Kingdom Duration: 5 Jul 2006 → 7 Jul 2006

Conference

Conference	Information Visualization 2006
Abbreviated title	IV06
Country/Territory	United Kingdom
City	London
Period	5/07/06 → 7/07/06

Access to Document

10.1109/IV.2006.124

Cite this

@inproceedings{2f0f2e177cea454e988c81645f57b5de,

title = "Visualisation based feedback control for multiple sensor fusion",

abstract = "This paper presents a new approach for adaptive weighting schemes for multiple sensor fusion by using visualisation feedback control. A visualisation schema is used to coordinate the information content capture of different features from multiple sensors. The end-users can interact with the training sample distribution to obtain weights for the sensor data fusion and decision making. Based on the proposed fusion approach, some applications such as audio-visual biometric authentication and multi-modal surface measurement are discussed.",

keywords = "Adaptive weighting, Feedback control, Multi-modal data, Sensor fusion, Virtual reality, Visualisation",

author = "Tian, \{Gui Yun\} and Duke Gledhill",

year = "2006",

doi = "10.1109/IV.2006.124",

language = "English",

isbn = "0769526020",

pages = "553--556",

booktitle = "Information Visualization 2006, IV06",

note = "Information Visualization 2006, IV06 ; Conference date: 05-07-2006 Through 07-07-2006",

}

TY - GEN

T1 - Visualisation based feedback control for multiple sensor fusion

AU - Tian, Gui Yun

AU - Gledhill, Duke

PY - 2006

Y1 - 2006

N2 - This paper presents a new approach for adaptive weighting schemes for multiple sensor fusion by using visualisation feedback control. A visualisation schema is used to coordinate the information content capture of different features from multiple sensors. The end-users can interact with the training sample distribution to obtain weights for the sensor data fusion and decision making. Based on the proposed fusion approach, some applications such as audio-visual biometric authentication and multi-modal surface measurement are discussed.

AB - This paper presents a new approach for adaptive weighting schemes for multiple sensor fusion by using visualisation feedback control. A visualisation schema is used to coordinate the information content capture of different features from multiple sensors. The end-users can interact with the training sample distribution to obtain weights for the sensor data fusion and decision making. Based on the proposed fusion approach, some applications such as audio-visual biometric authentication and multi-modal surface measurement are discussed.

KW - Adaptive weighting

KW - Feedback control

KW - Multi-modal data

KW - Sensor fusion

KW - Virtual reality

KW - Visualisation

UR - https://www.scopus.com/pages/publications/45149129287

U2 - 10.1109/IV.2006.124

DO - 10.1109/IV.2006.124

M3 - Conference contribution

AN - SCOPUS:45149129287

SN - 0769526020

SN - 9780769526027

SP - 553

EP - 556

BT - Information Visualization 2006, IV06

T2 - Information Visualization 2006

Y2 - 5 July 2006 through 7 July 2006

ER -

Visualisation based feedback control for multiple sensor fusion

Abstract

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