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: An exemplary method includes receiving, at a mobile device, a wireless message. The method includes determining, at the mobile device at a first location, first ambient signal data. The wireless message includes (i) message content and (ii) second ambient signal data for a second location, wherein the message content corresponds to the second location. The method includes comparing, at the mobile device, the first ambient signal data and the second ambient signal data. The method also includes determining, at the mobile device, whether to present a message indicative of the message content at a user interface of the mobile device based at least in part on the comparison of the first ambient signal data and the second ambient signal data.

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 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: 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 voice enabled device includes a transducer to capture multiple inaudible signals received from multiple ultrasonic speakers and audio recording electronics to process the multiple inaudible signals to generate digital output samples, which are recorded sound data comprising non-linearities from frequency-shifted versions of the multiple inaudible signals to within an audible frequency range. A processing device is to detect, within the recorded sound data, at least a portion of the non-linearities, e.g., via: comparison of the recorded sound data with expected patterns from an audible audio signal generated by human voice; and detection of non-linear variations within the recorded sound data as compared to the expected patterns. In response to the detection, the processing device is further to suppress an action programmed for response to a voice command corresponding to the recorded sound data.

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: 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 techniques for sensor-derived object flight performance tracking are described herein. A set of magnetometer readings may be obtained from a magnetometer included with an object. A local rotation axis of the object may be determined at a time using the set of magnetometer readings. The local rotation axis may describe rotation of the object around a local magnetic target. A global rotation axis may be calculated based on an initial orientation of the object. The global rotation axis may describe a fixed rotation axis of the object during flight in a global coordinate frame, wherein an angle between the global rotation axis and magnetic north remains constant during the flight. An orientation of the object may be determined for the time using the global rotation axis and the local rotation axis of the object at the time.

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 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 voice enabled device includes a transducer to capture multiple inaudible signals received from multiple ultrasonic speakers and audio recording electronics to process the multiple inaudible signals to generate digital output samples, which are recorded sound data comprising non-linearities from frequency-shifted versions of the multiple inaudible signals to within an audible frequency range. A processing device is to detect, within the recorded sound data, at least a portion of the non-linearities, e.g., via: comparison of the recorded sound data with expected patterns from an audible audio signal generated by human voice; and detection of non-linear variations within the recorded sound data as compared to the expected patterns. In response to the detection, the processing device is further to suppress an action programmed for response to a voice command corresponding to the recorded sound data.

Abstract: An audio transmitter includes a first ultrasonic speaker associated with a first channel; a second ultrasonic speaker co-located with the first ultrasonic speaker and associated with a second channel; and a waveform generator to: frequency modulate a first inaudible signal at a first ultrasonic frequency, to generate a modulated inaudible signal; drive, over the first channel, the first ultrasonic speaker with the modulated inaudible signal; and drive, over the second channel, the second ultrasonic speaker with a second inaudible signal at a second ultrasonic frequency so that a combination of the modulated inaudible signal and the second inaudible signal arrive at a microphone system. The second ultrasonic frequency is selected to frequency shift the modulated inaudible signal, upon demodulation by hardware of the microphone system, causing non-linearities of the hardware to translate the first ultrasonic frequency to below a low-pass filter cutoff frequency that is recordable by the microphone system.

Abstract: Disclosed methods, systems, and storage media may track body movements and movement trajectories using internal measurement units (IMUs), where a first IMU may be attached to a first wrist of a user, a second IMU may be attached to a second wrist of the user, and a third IMU may be attached to a torso of the user. Upper body movements may be derived from sensor data produced by the three IMUs. IMUs are typically not used to detect fine levels of body movements and/or movement trajectory because most IMUs accumulate errors due to large amounts of measurement noise. Embodiments provide arm and torso movement models to which the sensor data is applied in order to derive the body movements and/or movement trajectory. Additionally, estimation errors may be mitigated using a hidden Markov Model (HMM) filter. Other embodiments may be described and/or claimed.

Abstract: An exemplary method includes receiving, at a mobile device, a wireless message. The method includes determining, at the mobile device at a first location, first ambient signal data. The wireless message includes (i) message content and (ii) second ambient signal data for a second location, wherein the message content corresponds to the second location. The method includes comparing, at the mobile device, the first ambient signal data and the second ambient signal data. The method also includes determining, at the mobile device, whether to present a message indicative of the message content at a user interface of the mobile device based at least in part on the comparison of the first ambient signal data and the second ambient signal data.

Abstract: A device includes a coil and magnetic mass movable next to the coil in response to vibrations to generate a back electromotive force signal. An amplifier generates, from the back EMF signal, a vibration signal. A processing device converts the vibration signal to time-frequency domain signal as two-dimensional matrix of frequencies mapped against time slots. Pre-process voiced data of the time-frequency domain signal to generate a reduced-noise signal. Average signal values within a frequency window, and that exist at a first time slot, of the reduced-noise signal to generate a complex frequency coefficient. Shift the frequency window across the frequencies to generate multiple complex frequency coefficients that identify speech energy concentration. Replicate signal values at a fundamental frequency within the voiced data to multiple harmonic frequencies to generate an expanded voice source signal. Combine the speech energy concentration with the expanded voice source signal to recreate original speech.

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: 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: 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 techniques for sensor-derived object flight performance tracking are described herein. A set of magnetometer readings may be obtained from a magnetometer included with an object. A local rotation axis of the object may be determined at a time using the set of magnetometer readings. The local rotation axis may describe rotation of the object around a local magnetic target. A global rotation axis may be calculated based on an initial orientation of the object. The global rotation axis may describe a fixed rotation axis of the object during flight in a global coordinate frame, wherein an angle between the global rotation axis and magnetic north remains constant during the flight. An orientation of the object may be determined for the time using the global rotation axis and the local rotation axis of the object at the time.