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Titlebook: Advances and Applications in Computer Science, Electronics and Industrial Engineering; Proceedings of the C Jyrki Nummenmaa,Federico Pérez-

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Blocks of Finite Groups and Their Invariantsing electrical signals resulting from the action of muscles associated with different parts of the human body. In this article, an embedded system of hand gesture recognition based on EMG signals measured in the forearm is implemented. The EMG signals are acquired through the Myo Armband sensor and
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https://doi.org/10.1007/BFb0084003he electrical activity generated by voluntary contractions of skeletal muscles. The performance of a recognition system is affected significantly by the orientation of the armband. This orientation could change every time that the user wears the armband. In this paper, a novel technique to improve t
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Conference proceedings 2020r 2019, with participants from 13 countries and guest speakers from Chile, Colombia, France, Japan, Spain, Portugal, and United States. Featuring 23 peer-reviewed papers, it discusses topics such as the use of metaheuristic for non-deterministic problem solutions, software architectures for supporti
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Conference proceedings 2020 approaches on these converging research areas are impacting the development of human societies around the world into Society 5.0. As such, it is a valuable resource for scholars and practitioners alike..
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https://doi.org/10.1007/3-540-69191-Xmental evaluations of the disambiguation algorithm applied to several concept maps are presented and compared with the state of the art. The application of the proposed method is illustrated through a study case with promising results.
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Blocks of Finite Groups and Their Invariantsrformance of the embedded system is presented based on: number of samples (analysis windows), acquisition and processing times, as well as the macro and micro-evaluation of multiclass metrics (Accuracy, Precision, Recall and F-Score) for the recognition of movements.
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