@patent{activity_recognition_2021,
url2 = {https://patents.google.com/patent/JP2019087106A/en?oq=JP-2019-087106 },
title = {JP6838259B2: Learning data generator, judgment device and program},
year = {2021},
author = {Mohammad, Y. and Hoashi, K.},
keywords = {patent, granted}
}
A method for training multiple pipelines of convolutional neural
networks to achieve high accuracy in activity recognition. To
provide a generation device that can generate a large number of
pieces of learning data from collected data.SOLUTION: The
generation device, which generates learning data of the
determination device using neural network based on collected
time-series data, includes: value changing means for changing the
data value of the time-series data; interval changing means for
changing the time interval of each piece of the time-series data;
distortion addition means for adding a distortion to the
time-series data; and noise addition means for adding noise to the
time-series data.(90%)