US 11,718,359 B2
Output device, method for generating a machine learning model, and computer program
Takashi Yamamoto, Sakai (JP); and Satoshi Shahana, Sakai (JP)
Assigned to Shimano Inc., Sakai (JP)
Filed by SHIMANO Inc., Sakai (JP)
Filed on Jul. 10, 2020, as Appl. No. 16/925,659.
Claims priority of application No. 2019-130347 (JP), filed on Jul. 12, 2019.
Prior Publication US 2021/0009226 A1, Jan. 14, 2021
Int. Cl. B62J 45/20 (2020.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); B62J 43/13 (2020.01)
CPC B62J 45/20 (2020.02) [B62J 43/13 (2020.02); G06N 3/08 (2013.01); G06N 20/00 (2019.01)] 17 Claims
OG exemplary drawing
 
1. An output device, comprising:
an acquisition unit that acquires input information related to traveling of a human-powered vehicle; and
a processor configured to train a machine learning model in accordance with an index value indicating electric power consumption efficiency in a power supply device for supplying electric power to a component of the human-powered vehicle, and to output output information related to controlling the component when the input information is inputted, wherein
the processor trains the machine learning model by reinforcement learning using a reward based on the index value, the reward being further based on a value indicating comfortability based on an evaluation for a cadence and a torque of a crank of the human-powered vehicle that is traveling.