[Show abstract][Hide abstract] ABSTRACT: Some diabetic patients experience difficulties in modulating the grip force magnitude when they manipulate objects using their hands. This difficulty is caused by the sensory loss at the fingertips that impairs the feedback loop between the brain and the aforementioned sensors. In this paper, we present a sensory substitution system called “F-Glove”, which is aimed at helping diabetic patients to manipulate objects more efficiently by using appropriate forces. This is achieved by substituting the force felt at the fingertips when grip an object with an audio feedback displayed through the earphones of a mobile phone. The patient wears a glove integrated with pressure sensors mounted on the fingertips, and the sensors' pressure signals are conditioned and wirelessly transmitted to a mobile phone interface to display an audio with a volume linearly proportional to the pressure applied by the fingers of patients.
Haptic Audio Visual Environments and Games (HAVE), 2013 IEEE International Symposium on; 01/2013
[Show abstract][Hide abstract] ABSTRACT: This technical note studies identification problems for dual-rate sampled-data linear systems with noises. A hierarchical least squares (HLS) identification algorithm is presented to estimate the parameters of the dual-rate ARMAX models. The basic idea is to decompose the identification model of a dual-rate system into several sub-identification models with smaller dimensions and fewer parameters. The proposed algorithm is more computationally efficient than the recursive least squares (RLS) algorithm since the RLS algorithm requires computing the covariance matrix of large sizes, while the HLS algorithm deals with the covariance matrix of small sizes. Compared with our previous work, a detailed study of the HLS algorithm is conducted in this technical note. The performance analysis and simulation results confirm that the estimation accuracy of the proposed algorithm are close to that of the RLS algorithm, but the proposed algorithm retains much less computational burden.
IEEE Transactions on Automatic Control 12/2011; · 2.72 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: This technical note addresses identification problems of non-uniformly sampled systems. For the input-output representation of non-uniform discrete-time systems, a partially coupled stochastic gradient (C-SG) algorithm is proposed to estimate the model parameters with high computational efficiency compared with the standard stochastic gradient (SG) algorithm. The analysis indicates that the partially C-SG algorithm can give more accurate parameter estimates than the SG algorithm. The parameter estimates obtained using the partially C-SG algorithm converge to their true values as the data length approaches infinity.
IEEE Transactions on Automatic Control 09/2010; · 2.72 Impact Factor