Abstract: A method and system for detecting an accident of a vehicle, the method including: receiving a movement dataset collected at least at one of a location sensor and a motion sensor arranged within the vehicle, during a time period of movement of the vehicle, extracting a set of movement features associated with at least one of a position, a velocity, and an acceleration characterizing the movement of the vehicle during the time period, detecting a vehicular accident event from processing the set of movement features with an accident detection model, and in response to detecting the vehicular accident event, automatically initiating an accident response action.

Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

Abstract: Provided are systems and methods for establishing a communication between mobile device users that register with a collaboration system. The collaboration system determines a match between profile data of the first registered mobile device and profile data of the second registered mobile device. Displayed at the first registered mobile device is a first list of user identifications, which includes an identification of a user of the second registered mobile device and an identification of a user of at least one other mobile device. Displayed at the second registered mobile device is a second list of user identifications. The second list includes an identification of a user of the first registered mobile device and an identification of at least one other mobile device user.

Abstract: A method and system for detecting an accident of a vehicle, the method including: receiving a movement dataset collected at least at one of a location sensor and a motion sensor arranged within the vehicle, during a time period of movement of the vehicle, extracting a set of movement features associated with at least one of a position, a velocity, and an acceleration characterizing the movement of the vehicle during the time period, detecting a vehicular accident event from processing the set of movement features with an accident detection model, and in response to detecting the vehicular accident event, automatically initiating an accident response action.

Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

Abstract: Systems and methods for unsupervised indoor localization are provided. Sensor data obtained from a device carried by a user can be used to simultaneously estimate the indoor location of a user and identify landmarks within the indoor environment based on their signatures. The landmarks can be used to reset the location estimate of the user, and the location estimate of the user can be used to improve the learned location of the landmarks. This recursive process leads to excellent accuracy in indoor localization. Systems and methods for estimating the heading direction of a user are also provided. Sensor data obtained from the user can be used to analyze the forces acting on the user in order to give an accurate heading direction estimate.

Abstract: A method and system for detecting an accident of a vehicle, the method including: receiving a movement dataset collected at least at one of a location sensor and a motion sensor arranged within the vehicle, during a time period of movement of the vehicle, extracting a set of movement features associated with at least one of a position, a velocity, and an acceleration characterizing the movement of the vehicle during the time period, detecting a vehicular accident event from processing the set of movement features with an accident detection model, and in response to detecting the vehicular accident event, automatically initiating an accident response action.

Abstract: A data receiver includes a vibration sensor to sample data from vibrations in an incoming signal at a predetermined sampling rate, and a microcontroller, coupled to the vibration sensor, to control the sampling rate through an inter-integrated circuit (I2C) protocol or the like. A memory card, coupled to the microcontroller, stores the data with a serial peripheral interface (SPI) protocol or the like.

Abstract: Provided are systems and methods for establishing a communication between mobile device users that register with a collaboration system. The collaboration system determines a match between profile data of the first registered mobile device and profile data of the second registered mobile device. Displayed at the first registered mobile device is a first list of user identifications, which includes an identification of a user of the second registered mobile device and an identification of a user of at least one other mobile device. Displayed at the second registered mobile device is a second list of user identifications. The second list includes an identification of a user of the first registered mobile device and an identification of at least one other mobile device user.

Abstract: A data transmitter includes a vibration motor and a switch to regulate voltage from a direct-current (DC) power supply to the vibration motor. A microcontroller generates a pulse width modulation signal with which to drive the switch and regulate the voltage to the vibration motor in a sinusoidal manner, to generate data as symbols from vibrations that form a series of bits from the vibration motor. The microcontroller may also cancel and jam a sound of vibration (SoV) created by the vibration motor. A data receiver includes a vibration sensor to sample data from vibrations in an incoming signal at a predetermined sampling rate, and a microcontroller, coupled to the vibration sensor, to control the sampling rate through an inter-integrated circuit (I2C) protocol or the like. A memory card, coupled to the microcontroller, stores the data with a serial peripheral interface (SPI) protocol or the like.

Abstract: Provided are systems and methods for establishing a communication between mobile device users that register with a collaboration system. The collaboration system determines a match between profile data of the first registered mobile device and profile data of the second registered mobile device. Displayed at the first registered mobile device is a first list of user identifications, which includes an identification of a user of the second registered mobile device and an identification of a user of at least one other mobile device. Displayed at the second registered mobile device is a second list of user identifications. The second list includes an identification of a user of the first registered mobile device and an identification of at least one other mobile device user.

Abstract: A method and system for detecting an accident of a vehicle, the method including: receiving a movement dataset collected at least at one of a location sensor and a motion sensor arranged within the vehicle, during a time period of movement of the vehicle, extracting a set of movement features associated with at least one of a position, a velocity, and an acceleration characterizing the movement of the vehicle during the time period, detecting a vehicular accident event from processing the set of movement features with an accident detection model, and in response to detecting the vehicular accident event, automatically initiating an accident response action.

Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

Abstract: Systems and methods for computing a geographic position of an object or event based on a geographic position of a computing device and a user gesture are disclosed herein. According to an aspect, a method includes determining a geographic position of a computing device. The method also includes receiving a user gesture on the computing device to indicate a direction towards a location from the computing device. Further, the method includes defining a geographic position of the location based on the geographic position of the computing device and the user gesture.

Abstract: Provided are systems and methods for establishing a communication between mobile device users that register with a collaboration system. The collaboration system determines a match between profile data of the first registered mobile device and profile data of the second registered mobile device. Displayed at the first registered mobile device is a first list of user identifications, which includes an identification of a user of the second registered mobile device and an identification of a user of at least one other mobile device. Displayed at the second registered mobile device is a second list of user identifications. The second list includes an identification of a user of the first registered mobile device and an identification of at least one other mobile device user.

Abstract: A data transmitter includes a vibration motor and a switch to regulate voltage from a direct-current (DC) power supply to the vibration motor. A microcontroller generates a pulse width modulation signal with which to drive the switch and regulate the voltage to the vibration motor in a sinusoidal manner, to generate data as symbols from vibrations that form a series of bits from the vibration motor. The microcontroller may also cancel and jam a sound of vibration (SoV) created by the vibration motor. A data receiver includes a vibration sensor to sample data from vibrations in an incoming signal at a predetermined sampling rate, and a microcontroller, coupled to the vibration sensor, to control the sampling rate through an inter-integrated circuit (I2C) protocol or the like. A memory card, coupled to the microcontroller, stores the data with a serial peripheral interface (SPI) protocol or the like.

Abstract: Provided are systems and methods for establishing a communication between mobile device users that register with a collaboration system. The collaboration system determines a match between profile data of the first registered mobile device and profile data of the second registered mobile device. Displayed at the first registered mobile device is a first list of user identifications, which includes an identification of a user of the second registered mobile device and an identification of a user of at least one other mobile device. Displayed at the second registered mobile device is a second list of user identifications. The second list includes an identification of a user of the first registered mobile device and an identification of at least one other mobile device user.

Abstract: Systems and methods for unsupervised indoor localization are provided. Sensor data obtained from a device carried by a user can be used to simultaneously estimate the indoor location of a user and identify landmarks within the indoor environment based on their signatures. The landmarks can be used to reset the location estimate of the user, and the location estimate of the user can be used to improve the learned location of the landmarks. This recursive process leads to excellent accuracy in indoor localization. Systems and methods for estimating the heading direction of a user are also provided. Sensor data obtained from the user can be used to analyze the forces acting on the user in order to give an accurate heading direction estimate.

Abstract: Systems and methods for computing a geographic position of an object or event based on a geographic position of a computing device and a user gesture are disclosed herein. According to an aspect, a method includes determining a geographic position of a computing device. The method also includes receiving a user gesture on the computing device to indicate a direction towards a location from the computing device. Further, the method includes defining a geographic position of the location based on the geographic position of the computing device and the user gesture.

Abstract: Embodiments include processes, systems, and devices for developing a virtual sensor. The virtual sensor includes one or more inference models. A decision engine utilizes an inference model associated with a mobile device to determine another inference model that is configured to accept physical sensor data from another mobile device. In this way, the virtual sensor can be developed for use with many mobile devices using initial inference models developed for a small number of mobile devices or a single mobile device. Embodiments also include methods to select mobile devices from which to request physical sensor data for virtual sensor input. Embodiments also include architectures that provide a library of virtual sensors.