Component configuration based on sensor data
AssigneeAccenture Global Solutions Limited
InventorsEdy S. Liongosari, Alex M. Kass, Niclas Almquist
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AssigneeAccenture Global Solutions Limited
InventorsEdy S. Liongosari, Alex M. Kass, Niclas Almquist
Estimating the term…
Techniques are described for component configuration based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing the use of component(s) of the system by individual(s). The sensor data is analyzed (e.g., in real time) to determine an updated configuration for component(s) (e.g., an adjustment to the seat back, lumbar support of a car seat, etc.). The updated configuration may be communicated to the individual as a recommended configuration. In some implementations, the updated configuration may be communicated directly to the component which, on receiving and processing the configuration update, sends signals to various actuators to move the subcomponents of the component into the updated configuration. In some implementations, the sensor data is used to train, through machine learning, a model that provides configuration update(s) for component(s) based on the input sensor data.
A system comprising:
A computer-implemented method performed by at least one processor, the method comprising:
One or more computer-readable storage media storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:
Dependencies are inferred from the claim text.