which are fundamental to effectively assist upper limb amputees in the execution of daily life activities. In this scenario, the control system consists in a pattern recognition algorithm translating ...

Choosing the right features is important to optimize lower limb pattern recognition ... we investigated the use of genetic algorithms to construct optimized feature sets to be used in lower limb ...

Abstract: The prediction of simultaneous limb motions is a highly desirable feature for the control of artificial limbs. In this work, we investigate different classification strategies for individual ...

Amsüss, S. , Goebel, P. M. , Jiang, N. , Graimann, B. , Paredes, L. , & Farina, D. . (2014). Self-correcting pattern recognition system of surface EMG signals for ...

A wide variety of myoelectric features have been used as inputs to pattern recognition algorithms that aim to decode motor volition. The output of these algorithms can then be used to control limb ...

Coloradan les baugh, made history at the johns hopkins university applied physics laboratory (APL) when he became the first bilateral shoulder-level amputee to wear and simultaneously control two ...