Abstract:
Sensor-assisted location technology is disclosed. Primary location technologies, such as GPS, can be used to determine the current location (e.g., a location fix) of a location-enabled device. In some instances, the primary location technology may be unreliable and/or consume more power than an alternative location technology. Sensors, such as accelerometers, compasses, gyrometers, and the like, can be used to supplement and/or increase the accuracy of location data. For example, a location-enabled device can identify an area with unreliable GPS location data and use sensors to calculate a more accurate location. Areas identified may be crowd-sourced. Sensors can be used to identify errors in the location data provided by primary location technology. Sensors can be used to modify a sampling interval of the primary location technology. Sensor can be used to smooth motion on a user interface between sampling intervals of the primary location technology.
Abstract:
A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. A wireless communication link may be used by the device to obtain data from remote sensors which may be worn by the user. A personal “scorecard” may be generated from the raw data and from data concerning other users. Personal, raw characterization data may be computed into personal statistical data by averaging over time. Then, it may be sent (anonymously) to a server that receives such data from many (or all) users. The server may return personal statistical positioning to enable comparison of the user to other participants. In certain embodiments, the generation of a personal scorecard from the personal position in the group statistics may be performed in the user's device.
Abstract:
A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, and the like—may also be used to deduce the user's current activity. In one embodiment, an extended period of inactivity triggers a reminder to the user to get up, stretch and move about. In other embodiments, transitions in a user's activity level may be used to trigger reminders and/or set the state of the device (such as a Do Not Disturb state wherein notifications and alarms are suppressed).
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.
Abstract:
In one or more embodiments, a first device such as a mobile phone can establish a wireless connection with second device, and the second device can act as a bridge between the first device and a peripheral device, such as a printer, so that the first device need not establish a secure pairing or other type of direct connection with the peripheral device. The second device provides a profile of the peripheral to the first device. The first device can then use the profile to access the peripheral device via the second device, with the second device passing data between the first device and the peripheral identified by the profile. This bridging feature simplifies the process of using the peripheral devices, since no secure pairing or other configuration procedure is needed to enable the first device to access the peripheral.
Abstract:
A mobile computing device can be used to locate a vehicle parking location in weak location signal scenarios (e.g., weak, unreliable, or unavailable GPS or other location technology). In particular, the mobile device can determine when a vehicle in which the mobile device is located has entered into a parked state. GPS or other primary location technology may be unavailable at the time the mobile device entered into a parked state (e.g., inside a parking structure). The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be determined using the first location technology as supplemented with sensor data of the mobile device. After the location of the mobile device at a time corresponding to when the vehicle is identified as being parked is determined, the determined location can be associated with an identifier for the current parking location.
Abstract:
Systems and associated methods for providing a plurality of devices the same media content. A plurality of requests for media content may be received where each of the plurality of requests is received from a respective device. It may be determined whether the plurality of requests for media content are for the same media content. In response to determining that the plurality of requests are for the same media content, a single request for the media content may be generated. The request may be provided to a server via a wide area network. The media content may be received in response to the single request and the media content may be stored in a memory medium. The media content may be provided to each of the respective devices in response to the plurality of requests.
Abstract:
Customized images can be used to improve navigation of a user to a particular destination. For example, a mobile device can receive a first destination location of the first user. Additionally, the mobile device can receive one or more media files of the first destination location, wherein at least one of the media files is created with a recording device. Furthermore, the mobile device can further receive an indicator associating the one or more media files with the first destination location. Subsequently, the mobile device can receive a current location of the mobile device of the first user. Finally, the mobile device can display the one or more media files when the current location is within a specified distance of the first destination location.
Abstract:
A mobile computing device can be used to locate a vehicle parking location. In particular, the mobile device can automatically identify when a vehicle in which the mobile device is located has entered into a parked state. The mobile device can determine that the vehicle is in a parked state by analyzing one or more parameters that indicate a parked state or a transit state. The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be associated with an identifier for the current parking location.
Abstract:
A processor-based personal electronic device (such as a smartphone) uses combinatorial logic to automatically adjust alarms, notifications reminders, and the like based on data from device event histories, on-board sensors, user-entered data, and similar information. One particular representative embodiment comprises a process for automatically deleting an unneeded reminder. For example, a user may have a personal electronic device that is set to issue a reminder for a meeting in a certain place, on a certain date at a certain time. If location sensors detect that the user is already at the certain place on the certain date at (or reasonably before) the certain time the now superfluous reminder is automatically cancelled.