Patent ID: 11966836
Assignee: KABUSHIKI KAISHA TOSHIBA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. The method according to claim 9, further comprising acquiring fourth data of a time series, fifth data of a time series, and sixth data of a time series, the fourth data being based on an action of a second body part in the work task of the first worker, the fifth data being based on an action of the second body part in the work task of the second worker, the sixth data being based on an action of the second body part in the work task of the third worker;
the recurrent neural network including a first recurrent neural network part and a second recurrent neural network part,
the first recurrent neural network part including the first output layer,
the second recurrent neural network part including a second output layer,
the training of the recurrent neural network including:
training the first recurrent neural network part using the first data and the second data;
training the second recurrent neural network part by inputting the fourth data to the second recurrent neural network part, the second output layer including a third neuron and a fourth neuron, a third value corresponding to the action of the second body part of the first proficiency being set as teacher data in the third neuron; and
training the second recurrent neural network part by inputting the -fifth data to the second recurrent neural network part, a fourth value corresponding to the action of the second body part of the second proficiency being set as teacher data in the fourth neuron,

the inputting including further inputting the sixth data to the trained second recurrent neural network part, and
the detecting including further detecting that at least part of the action of the third worker corresponds to the first proficiency when a third activity of the third neuron is larger than the threshold and detecting that at least part of the action of the third worker corresponds to the second proficiency when a fourth activity of the fourth neuron is larger than the threshold.