Abstract:
The disclosure relates to accessing computer resources by sensing audio with a microphone. One claim recites a system comprising: means for decoding identifying data from microphone-captured encoded audio, the microphone-captured audio captured by a microphone of a wireless device; means for obtaining device information for a class of devices associated with the wireless device; means for controlling communication of the identifying data and the device information; and means for controlling a user interface to provide access to a computer resource based on a service received in response to communication of the identifying data and the device information, in which the service is configured to provide access in response to audio prompting, and in which access of the wireless device is directed according to the service, and means for directing access of the wireless device according to the service; and a network resource comprising means for storing, the means for storing providing a correlation between identifying data, device information and response information, the network resource further comprising means for providing the service including providing the response information, the response information being associated with the identifying data and the device information. Of course, other claims and combinations are provided as well.
Abstract:
A cell phone is used to sense information, such as digital watermark data or RF ID data, from a physical object (e.g., a product package). Thereafter, a user of the cell phone engages in a transaction (e.g., downloading content from the internet). Normally, a charge may be assessed for this transaction. However, the user is spared this charge by reason of said earlier sensing of information from the physical object. A great number of other features and arrangements are also detailed.
Abstract:
A method for indoor navigation in a venue derives positioning of a mobile device based on sounds captured by the microphone of the mobile device from the ambient environment. It is particularly suited to operate on smartphones, where the sounds are captured using microphone that captures sounds in a frequency range of human hearing. The method determines a position of the mobile device in the venue based on identification of the audio signal, monitors the position of the mobile device, and generates a position based alert on an output device of the mobile device when the position of the mobile device is within a pre-determined position associated with the position based alert.
Abstract:
Audio sounds are captured from a subject's body, e.g., using a smartphone or a worn array of microphones. Plural features are derived from the captured audio, and serve as fingerprint information. One such feature may be a time interval over which a threshold part of spectral energy in the audio is expressed. Another may be a frequency bandwidth within which a second threshold part of the spectral energy is expressed. Such fingerprint information is provided to a knowledge base that contains reference fingerprint data and associated metadata. The knowledge base matches the fingerprint with reference fingerprint data, and provides associated metadata in return—which can comprise diagnostic information related to the captured sounds. In some arrangements, an audio signal or pressure waveform stimulates the body at one location, and is sensed at another, to discern information about the intervening transmission medium. A great variety of other features and arrangements are also detailed.
Abstract:
Computer-aided dermatological analysis requires accurate color data. Color accuracy can be improved by compensating captured imagery based on reference color data. In one particular arrangement, reference color data is acquired from blood. In another arrangement, imagery captured from a banknote is used as reference data. A great variety of other features and arrangements are also detailed.
Abstract:
The availability of high quality imagers on smartphones and other portable devices facilitates creation of a large, crowd-sourced, image reference library that depicts skin rashes and other dermatological conditions. Some of the images are uploaded with, or later annotated with, associated diagnoses or other information (e.g., “this rash went away when I stopped drinking milk”). A user uploads a new image of an unknown skin condition to the library. Image analysis techniques are employed to identify salient similarities between features of the uploaded image, and features of images in this reference library. Given the large dataset, statistically relevant correlations emerge that identify to the user certain diagnoses that may be considered, other diagnoses that may likely be ruled-out, and/or anecdotal information about similar skin conditions from other users. Similar arrangements can employ audio and/or other physiologically-derived signals. A great variety of other features and arrangements are also detailed.
Abstract:
The disclosure relates to accessing computer resources by sensing audio with a microphone. One claim recites a system comprising: a software module comprising instructions for controlling a wireless device to: i) extract identifying data from microphone-captured audio by applying a hashing algorithm to the microphone-captured audio; ii) obtain device information for a class of devices associated with the wireless device; iii) control communication of the identifying data and the device information; and iv) control a user interface to facilitate access to a third party computer resource based on a service received by said software module in response to communication of the identifying data and the device information, in which the service is configured to facilitate access in response to audio prompting; and a network resource comprising a data registry, the data registry comprising a correlation between identifying data, device information and sponsored links, the network resource configured to provide the service to the software module including providing a sponsored link to the software module, the sponsored link being associated with the identifying data and the device information. Of course, other claims and combinations are provided as well.
Abstract:
A method for indoor navigation in a venue derives positioning of a mobile device based on sounds captured by the microphone of the mobile device from the ambient environment. It is particularly suited to operate on smartphones, where the sounds are captured using microphone that captures sounds in a frequency range of human hearing. The method determines a position of the mobile device in the venue based on identification of the audio signal, monitors the position of the mobile device, and generates a position based alert on an output device of the mobile device when the position of the mobile device is within a pre-determined position associated with the position based alert.
Abstract:
The disclosure relates to a smartphone-based virtual wallet, that manages payment options available to a user. One claim recites a method employing a user's portable device, the device including a display and a sensor, the method including acts of: initiating a multi-party auction to solicit bids from a plurality of financial vendors to facilitate a financial transaction for the user, the plurality of remotely-located financial vendors being associated with the user via a virtual wallet hosted on the user's portable device; receiving bids from the plurality of financial vendors; presenting a user interface using the display, the user interface identifying at least two bids solicited from the multi-party auction; upon receiving an indication of a user-selected bid from the at least two bids, initiating a financial transaction using at least some of the details in the user selected bid and information obtained from the virtual wallet. A great variety of other features, arrangements and claims are also detailed.
Abstract:
To make a payment, a smartphone presents artwork for a payment card (e.g., a Visa card) that has been selected by a user from a virtual wallet of such cards. Encoded in the displayed artwork is payment information that has been encrypted with a context-dependent session key. A cooperating system (e.g., a retailer's point of sale system) uses a camera to capture an image of the artwork, and independently creates the session key from its own context sensor(s), enabling decryption of the payment information. Such technology provides a superior transaction security model at a fraction of the cost of competing chip card payment systems (which require, e.g., expensive physical cards, and single-purpose reader hardware). A great variety of other features and arrangements are also detailed.