Sensor based component activation

A mode determination system, comprising:

• one or more processors;
• a machine-learned mode determination model, wherein the machine-learned mode determination model has been trained to receive object detection data and, in response to receipt of the object detection data, output mode predictions for a computing device;
• and
• at least one tangible, non-transitory computer readable medium that stores instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
• obtaining sensor data from a plurality of sensors of a computing device, wherein the sensor comprises at least object detection data and motion data, the object detection data associated with the state of one or more portions of a user of a computing device, wherein the motion data describes a motion of the computing device relative to the user of the computing device;
• inputting the object detection data into the machine-learned mode determination model, wherein the machine-learned mode determination model determines, based in part on the object detection data and the motion data, when the state of the one or more portions of the user relative to the computing device matches one or more falsing profiles associated with a state of the one or more portions of the user relative to the computing device that does not activate the one or more components, wherein the satisfying the one or more operational criteria comprises the state of the one or more portions of the user relative to the computing device not matching any of the one or more falsing profiles;
• and
• receiving, as output of the machine-learned mode determination model, a mode prediction for the computing device.

A computing device that automatically initiates an input mode, comprising:

• a plurality of sensors;
• at least one processor;
• and
• at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising:
• receiving object detection data based in part on one or more sensor outputs from the plurality of sensors that detect one or more portions of a user of the computing device;
• receiving motion data based in part on one or more sensor outputs from the plurality of sensors, the motion data describing a motion of the computing device relative to the user of the computing device;
• determining, based in part on the object detection data, a state of the one or more portions of the user of the computing device, the state of the one or more portions of the user of the computing device comprising one or more spatial relations of the one or more portions of the user of the computing device with respect to the computing device;
• determining, based in part on the object detection data and the motion data, when the state of the one or more portions of the user relative to the computing system matches one or more falsing profiles associated with a state of the one or more portions of the user relative to the computing system that does not activate the one or more components, wherein the satisfying the one or more operational criteria comprises the state of the one or more portions of the user relative to the computing system not matching any of the one or more falsing profiles;
• responsive to the state of the one or more portions of the user of the computing device satisfying one or more operational criteria, activating an input mode of a plurality of input modes associated with activating one or more components of the computing device, the one or more components comprising one or more microphone components, one or more camera components, or one or more text input components, wherein the one or more components are associated with performing one or more operations comprising detection of one or more inputs.