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Particle filter based finger tracking utilising magnetoresistive sensors

In this paper we utilise magnetoresitive sensors and particle filtering to develop a finger tracking system for physical therapy and human-machine interaction. The aim of this finger tracking system is to provide a light weight apparatus with a prolonged operational period. This will increase its suitability in physical rehabilitation fields where weight is a premium. The finger tracking algorithm utilises two-dimensional measurements of each joint relative to a magnetic field reference point to obtain a highly accurate model of the finger trajectory as opposed to other light weight systems that can provide only one degree of information. The nonlinear interaction between joint movements and sensor readings requires a non-linear filtering technique, as such a particle filter is utilised to improve the accuracy of the system.