Information processing apparatus, and control method for information processing apparatus
AssigneeCanon Kabushiki Kaisha
InventorToru Takahashi
Life of this patent
Estimating the term…
Abstract
A machine learning system includes a sensor configured to sense an object which is present in front of an information processing apparatus, a machine learning model configured to input time-series sensed values output from the sensor and to estimate whether a user who uses the image processing apparatus is present, a user interface configured to receive an operation performed by a user, and a learning unit configured to cause the machine learning model to learn with use of training data including the time-series sensed values output from the sensor and labels that are based on presence and absence of an operation performed by a user and received by the user interface.
Claims17
A machine learning system comprising:
- a sensor configured to sense an object which is present in front of an information processing apparatus;
- a machine learning model configured to input time-series sensed values output from the sensor and to estimate whether a user who uses the image processing apparatus is present;
- a user interface configured to receive an operation performed by a user;
- and
- a learning unit configured to cause the machine learning model to learn with use of training data including the time-series sensed values output from the sensor and labels that are based on presence or absence of an operation performed by a user and received by the user interface.
An information processing apparatus comprising:
- a sensor configured to sense an object which is present in front of the information processing apparatus;
- a user interface configured to receive an operation performed by a user;
- and
- a machine learning model having learned with use of training data including time-series sensed values output from the sensor and labels that are based on presence and absence of an operation performed by a user and received by the user interface, and the machine learning model being configured to input the time-series sensed values output from the sensor and to estimate whether a user who uses the image processing apparatus is present.
A learning method for a machine learning model which estimates presence or absence of a user who uses an information processing apparatus including a sensor configured to sense an object which is present in front of the information processing apparatus, and a user interface configured to receive an operation performed by a user, the learning method comprising:
- causing the machine learning model to learn with use of training data including time-series sensed values output from the sensor and labels that are based on presence and absence of an operation performed by a user and received by the user interface.
Dependencies are inferred from the claim text.