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In this study, we describe the application of least square method for muscular strength estimation in hand motion recognition based on surface electromyogram (SEMG). Although the muscular strength can consider the various evaluation methods, a grasp force is applied as an index to evaluate the muscular strength. Today, SEMG, which is measured from skin surface, is widely used as a control signal for...
Surface electromyogram (SEMG) is one of the most important biological signal in which the human motion intention is directly reflected. Many systems use SEMG as a source of a control signal. (We call them ldquoSEMG systemrdquo). In order to develop SEMG system, constructions of discriminant function and SEMG measurement placement are important factors for accurate recognition. But standard criterions...
Many singular learning machines such as neural networks, normal mixtures, Bayesian networks, and hidden Markov models belong to singular learning machines and are widely used in practical information systems. In these learning machines, it is well known that Bayesian learning provides better generalization performance than maximum-likelihood estimation. However, it needs huge computational cost to...
Conventional research on motion recognition using surface electromyogram (SEMG) is mainly focused on how to process with the signals for pattern recognition. However, it is of much consequence to the motion recognition that measurement channels position including useful information about SEMG pattern recognition is selected. In this paper, we present two topics for the hand motion recognition system...
The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte Carlo method and its effectiveness has been shown in many fields. In the exchange Monte Carlo method, the setting of temperatures is important to make the algorithm efficient because this setting controls the exchange ratio, with which the position exchange between two sequences is accepted. However, the mathematical...
In this paper, we describe the human-interface equipment using surface electromyogram (SEMG) based on optimal measurement channels for each subject. In case the SEMG is used as a control signal, individual differences of SEMG are important issue to obtain high accuracy recognition of motions. To solve this problem, we propose a channel selection method of the suitable measurement channels for the...
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