Context-based smartphone sensor logic

摘要

Methods employ sensors in portable devices (e.g., smartphones) both to sense content information (e.g., audio and imagery) and context information. Device processing is desirably dependent on both. For example, some embodiments activate certain processor intensive operations (e.g., content recognition) based on classification of sensed content and context. The context can control the location where information produced from such operations is stored, or control an alert signal indicating, e.g., that sensed speech is being transcribed. Some arrangements post sensor data collected by one device to a cloud repository, for access and processing by other devices. Multiple devices can collaborate in collecting and processing data, to exploit advantages each may have (e.g., in location, processing ability, social network resources, etc.). A great many other features and arrangements are also detailed.

主权项

1. A method comprising the acts:
applying a first classification procedure to received audio and/or visual information, to identify a type of the received audio and/or visual information from among two possible types: a first type, and a second type; applying a first combination of plural recognition technologies to the received audio and/or visual information if the received audio and/or visual information is identified as the first type; and applying a second combination of plural recognition technologies to the received audio and/or visual information if the received audio and/or visual information is identified as the second type; wherein at least one of the applied combinations of plural recognition technologies includes a watermark- or fingerprint-based recognition technology, and the first and second combinations are different; and wherein at least one of said acts is performed by hardware configured to perform such act(s); the method further including: applying a second classification procedure to second information to determine a contextual scenario type from among plural contextual scenario types, said second information including information different than the received audio and/or visual information; applying said first combination of plural recognition technologies to the received audio and/or visual information if the received audio and/or visual information is identified as the first type, and the contextual scenario type is determined to be a first contextual scenario type; and applying a third combination of plural recognition technologies to the received audio and/or visual information if the received audio and/or visual information is identified as the first type, and the contextual scenario is determined to be a second contextual scenario type different than said first contextual scenario type; wherein the first and third combinations of plural recognition technologies are different.