Research Interests

Investigating the effects of multi-modal stimuli in synchronisation tasks. It is known that people can synchronise more accurately to an auditory metronome than to a visual or tactile one, but what happens when two or three of these modalities are combined? Also what happens when one of these stimuli is less reliable than the others? I am investigating how people respond to these different combinations of stimuli and whether this can be modelled mathematically.

Previous research involved discrimination and classification of human gait. Various pattern recognition methods were investigated and used alongside neural networks and the Distributive Tactile Sensing method to develop a system that could discriminate different gait patterns as a person walked over a surface.

Publications

Movement Synchronisation and Timing

Elliott, M. T., Welchman, A. E., & Wing, A. M. (2009). MatTAP: A MATLAB toolbox for the control and analysis of movement synchronisation experiments. Journal of Neuroscience Methods, 177(1), 250-257. doi: 10.1016/j.jneumeth.2008.10.002.

Elliott, M., Welchman, A., & Wing, A. (2009). Being discrete helps keep to the beat. Experimental Brain Research, 192(4), 731-737. doi: 10.1007/s00221-008-1646-8.

Gait Tracking and Classification

Elliott, M., Ma, X., & Brett, P. (2007). Tracking the position of an unknown moving load along a plate using the distributive sensing method. Sensors and Actuators A: Physical, 138(1), 28-36. doi: 10.1016/j.sna.2007.04.043.

Brett, P., Ma, X., Holding, D., Elliott, M., & Petra, I. (2007). Real-time tracking of a moving contacting load using the distributive tactile sensing method. In Mechatronics and Machine Vision in Practice, 2007. M2VIP 2007. 14th International Conference on (pp. 136-139). doi: 10.1109/MMVIP.2007.4430731.