Abstract:
A device with a movement-based user interface (UI) may establish thresholds that govern when the UI moves and when the UI stays still to avoid interruptions to the user experience based on undesired movement, such as movement caused by a vehicle, etc. The thresholds may be based on detecting a movement type experienced by a device (e.g., bicycle, car, etc.). When movement is detected beyond the threshold the UI may be configured to smooth a displayed UI transition from a first position to a second position to improve the user experience.
Abstract:
This disclosure describes systems and techniques for detecting events, determining a result of each respective event using a first hypothesis source, and calculating a likelihood that a second (and/or additional) hypothesis source would determine the same result of the respective event. The calculated likelihood may then be used to be determine whether to request that the second hypothesis source determine the result of the event, determine an amount of resources of the second hypothesis source to use to make this determination, and/or like.
Abstract:
This disclosure describes systems and techniques for detecting events, determining a result of each respective event using a first hypothesis source, and calculating a likelihood that a second (and/or additional) hypothesis source would determine the same result of the respective event. The calculated likelihood may then be used to be determine whether to request that the second hypothesis source determine the result of the event, determine an amount of resources of the second hypothesis source to use to make this determination, and/or like.
Abstract:
Systems and techniques for detecting events involving a user that occurred during a session in a facility, and performing a holistic, session-based analysis of the events to determine items taken by the user from the facility. An inventory management system may initially analyze the events to determine a hypothesis for a result of each respective event and a probability that the hypotheses are accurate. An initial listing of the items determined to be taken by the user may be generated along with probabilities that the items were taken. Upon determining that a probability an item was taken is lower than a threshold, the management system may select an algorithm to process an event in the session that is likely to resolve uncertainty in the initial listing. The management system may iteratively process events until a final listing represents the items taken by the user with an allowable probability.