Multiple scale and multimodal data and information fusion in human sensory discrimation

Murtagh, Fionn (PI)
Zervas, Dimitrios (CoI)

Project: Research

Description

Human sensory discrimination, object recognition, modelling

Status	Finished
Effective start/end date	1/10/06 → 31/03/08

Funding

Biotechnology&BioSci Research BBSRC: £51,369.00

Keywords

haptic signals, comodulation, correlation, noise, signal detection
Signal detection, sensory perception

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"Haptic Feature Detection Through Comodulated Noise", report, 11 February 2007, 12 pp. Abstract: We consider the detection of faint signal, very much below the noise level. The series of signals is presented to subjects for their assessment, by haptic means, of the presence of the feature in one or other of the two signals presented. We develop an approach based on visualization of the dependencies between the signal, possibly containing the feature, and another noise signal.
Report, 18 pp., 13 May 2007. Abstract: In R.D. Roberts, G.W. Humphreys and A.M. Wing, "Temporal constraints on ineractions across kinaesthetic channels", 2005, subject responses are evaluated relative to correct outcomes (i.e., experiment design conditions). Here we include this aspect in the analysis but also carry out two "Turing test type evaluations". The latter are machine approaches, based on two algorithms, which generally (but not always) outperform the test subjects. It is not our purpose to simply outperform the subjects: our algorithms benefit strongly from prior information. Our algorithms are used to baseline the subject responses. A multivariate data analysis not only takes into account the correct outcomes, the subject performance, and our two algorithms, but also takes into account differentiation within the subject population.
Report, 13 July 2007, 25 pp. Abstract: We describe the requirements for the modelling of the correlation effect, the detailed algorithm, the program used, and sample output produced. Contents: (1) Introduction, (2) Algorithm for Modelling Correlation Effect, (3) File coreffect.h, (4) File coreffect.cpp, (5) Sample Output.
Presentation, 12 slides.
See for other publications, relating to faint signal detection in time-varying, correlated data, including: (1) F. Murtagh, M. Spagat and J.A. Restrepo, "Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis", IEEE Transactions on Systems, Man, and Cybernetics--Part A: Systems and Humans, 41, 254-263, 2011. (2) F. Murtagh, Correspondence Analysis and Data Coding with R and Java, Chapman & Hall, 2005.
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Multiple scale and multimodal data and information fusion in human sensory discrimation

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