Masatoshi Kimura

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We propose a Convolutional Neural Network (CNN)-based method to ensure both robustness to variations in facial pose and real-time processing. Although the robustness of CNNs has attracted attention in various fields, the training process suffers from difficulties in parameter setting and the manner in which training samples are provided. We demonstrate a(More)
This paper is aimed at describing a framework to implement Multi-Class Support Vector Machine (MCSVM)-based motion intention recognition. To this end, we primarily constructed a wearable exoskeleton robot of lower body which is employed as an experimentation platform to test the MCSVM-based motion intention recognition. Having disclosed prototype(More)
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