Abstract: Disclosed are systems and methods for improving interactions with and between computers in a communication system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across computers and platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods perform spatial sensing in order to locate adjacent devices via asymmetric Bluetooth Low Energy (BLE) received signal strength indication (RSSI) distributions. Such spatial location between adjacent devices enables the devices to communicate, share, generate and/or consume digital information as a single, connected and/or localized logical unit.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a communication system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across computers and platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods perform spatial sensing in order to locate adjacent devices via asymmetric Bluetooth Low Energy (BLE) received signal strength indication (RSSI) distributions. Such spatial location between adjacent devices enables the devices to communicate, share, generate and/or consume digital information as a single, connected and/or localized logical unit.

Abstract: An approach is provided for acquiring images with camera-enabled mobile devices using objects of interest recognition. A mobile device is configured to acquire an image represented by image data and process the image data to identify a plurality of candidate objects of interest in the image. The plurality of candidate objects of interest may be identified based upon a plurality of low level features or “cues” in the image data. Example cues include, without limitation, color contrast, edge density and superpixel straddling. A particular candidate object of interest is selected from the plurality of candidate objects of interest and a graphical symbol is displayed on a screen of the mobile device to identify the particular candidate object of interest. The particular candidate object of interest may be located anywhere on the image. Passive auto focusing is performed at the location of the particular candidate object of interest.

Abstract: Disclosed is a system and method for obtaining ad-hoc the spatial layout and setup of installed radio-based indoor tracking systems at particular locations. The systems and methods can be implemented via an installed or web-based application that performs the ad-hoc detection of indoor beacons, which includes detecting the signal strength of all beacons at a location while the user performs a previously configured gesture. From the trajectory of the gesture and the recorded signal strengths, the disclosed systems and methods derive the distance and direction of all beacons, which are laid out in a 2D map. Thus, the present disclosure can implicitly calibrate signal strengths to high-accuracy distances, thereby producing the spatially accurate 2D setup of the previously unknown space, in addition to indoor tracking on a decimeter level, which is efficient and increasingly cost effective for device tracking and advertising purposes.

Abstract: Disclosed is a system and method for calibrating BLE signal strengths to high-accuracy/precise distances. The present disclosure involves auto-calibrating BLE-based tracking systems, such as, for example, those used indoors using acoustic signals. The present disclosure enables BLE-based distance estimation to be accurate to decimeters and centimeters. The disclosed systems and methods utilize signals communicated to and from roaming devices in order to determine the distance(s) between the roaming device and installed BLE units. A signal-strength to distance map can then be constructed for reuse on any device with a Bluetooth component.

Abstract: A user is authenticated based on feature data of a target such as a body-part or other object obtained by a touchscreen of a computing device. When the user positions the target to interact with the touchscreen, interaction data is gathered. Feature data of the target is determined from the gathered interaction data. The feature data is used to identify one or more of the target and the user. Various actions are executed based on the identification and authentication of the user.

Abstract: Disclosed is a system and method for obtaining ad-hoc the spatial layout and setup of installed radio-based indoor tracking systems at particular locations. The systems and methods can be implemented via an installed or web-based application that performs the ad-hoc detection of indoor beacons, which includes detecting the signal strength of all beacons at a location while the user performs a previously configured gesture. From the trajectory of the gesture and the recorded signal strengths, the disclosed systems and methods derive the distance and direction of all beacons, which are laid out in a 2D map. Thus, the present disclosure can implicitly calibrate signal strengths to high-accuracy distances, thereby producing the spatially accurate 2D setup of the previously unknown space, in addition to indoor tracking on a decimeter level, which is efficient and increasingly cost effective for device tracking and advertising purposes.

Abstract: Disclosed is a three-dimensional ad-hoc tracking system and method between two or more devices at a location. The disclosed systems and methods can be implemented on commodity mobile devices with no added components and require no cross-device calibration, in order to track surrounding devices. Such tracking can be achieved by fusing three types of signals: 1) the strength of Bluetooth low energy signals reveals the presence and rough distance between devices; 2) a series of inaudible acoustic signals and the difference in their arrival times produces a set of accurate distances between devices, from which 3D offsets between the devices can be derived; and 3) the integration of dead reckoning from the orientation and acceleration sensors of all devices at a location to refine the estimate and to support quick interactions between devices. The disclosed systems and methods can be implemented by cross-device applications on mobile devices.

Abstract: An approach is provided for acquiring images with camera-enabled mobile devices using objects of interest recognition. A mobile device is configured to acquire an image represented by image data and process the image data to identify a plurality of candidate objects of interest in the image. The plurality of candidate objects of interest may be identified based upon a plurality of low level features or “cues” in the image data. Example cues include, without limitation, color contrast, edge density and superpixel straddling. A particular candidate object of interest is selected from the plurality of candidate objects of interest and a graphical symbol is displayed on a screen of the mobile device to identify the particular candidate object of interest. The particular candidate object of interest may be located anywhere on the image. Passive auto focusing is performed at the location of the particular candidate object of interest.

Abstract: Disclosed is a system and method for calibrating BLE signal strengths to high-accuracy/precise distances. The present disclosure involves auto-calibrating BLE-based tracking systems, such as, for example, those used indoors using acoustic signals. The present disclosure enables BLE-based distance estimation to be accurate to decimeters and centimeters. The disclosed systems and methods utilize signals communicated to and from roaming devices in order to determine the distance(s) between the roaming device and installed BLE units. A signal-strength to distance map can then be constructed for reuse on any device with a Bluetooth component.

Abstract: Disclosed is a system and method for obtaining ad-hoc the spatial layout and setup of installed radio-based indoor tracking systems at particular locations. The systems and methods can be implemented via an installed or web-based application that performs the ad-hoc detection of indoor beacons, which includes detecting the signal strength of all beacons at a location while the user performs a previously configured gesture. From the trajectory of the gesture and the recorded signal strengths, the disclosed systems and methods derive the distance and direction of all beacons, which are laid out in a 2D map. Thus, the present disclosure can implicitly calibrate signal strengths to high-accuracy distances, thereby producing the spatially accurate 2D setup of the previously unknown space, in addition to indoor tracking on a decimeter level, which is efficient and increasingly cost effective for device tracking and advertising purposes.