Detection system and detection method for using a neural network to detect a proficiency of a worker

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United States of America

PATENT NO 11966836
APP PUB NO 20190065949A1
SERIAL NO

16101925

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Abstract

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According to one embodiment, a detection system includes an acquirer, a trainer, and a detector. The acquirer acquires first data, second data, and third data. The first data is based on an action of a first body part in a first work of a first worker having a first proficiency. The second data is based on an action of the first body part in the first work of a second worker having a second proficiency. The third data is based on an action of the first body part in the first work of a third worker. The trainer trains a recurrent neural network including a first output layer using the first data and the second data. The detector inputs the third data to the trained recurrent neural network and detects a response of the first neuron or the second neuron.

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Patent Owner(s)

  • KABUSHIKI KAISHA TOSHIBA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Namioka, Yasuo Nerima, JP 17 62

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