Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

A system includes a first and second sensor for a first and second body portion, wherein each sensor includes perturbation sensors for determining physical perturbations for each respective body portion in response to a body movement, each sensor includes a processor for determining orientation and velocity data for each respective body portion in response to the physical perturbations, a shape sensing unit coupled to a joint portion between the first and second body portions including an optical fiber configured to bend in response to the body movement, a light source for providing light into the optical fiber, a light sensor for sensing reflected light from the optical fiber in response to being bent, and a processor for determining curvature data associated with the joint portion, and a central processor for determining user movement data in response to the orientation and velocity data for each body portion and the curvature data.

A system includes a first and second sensor for a first and second body portion, wherein each sensor includes perturbation sensors for determining physical perturbations for each respective body portion in response to a body movement, each sensor includes a processor for determining orientation and velocity data for each respective body portion in response to the physical perturbations, a shape sensing unit coupled to a joint portion between the first and second body portions including an optical fiber configured to bend in response to the body movement, a light source for providing light into the optical fiber, a light sensor for sensing reflected light from the optical fiber in response to being bent, and a processor for determining curvature data associated with the joint portion, and a central processor for determining user movement data in response to the orientation and velocity data for each body portion and the curvature data.

Described herein are methods and systems for configuring a motion sensor assembly to compensate for a temperature gradient. First and second sensors of the same type are arranged as opposing pairs with respect to a first axis that may be defined by a temperature gradient caused by at least one thermal element. Combining the output measurements of the first sensor and the second sensor allows effects of the temperature gradient on sensor measurements of the first sensor and the second sensor to be compensated.

The present disclosure relates to a contextual service device and method of use to identify an operator's needs, such as in the event a vehicle crash, vehicle breakdown, theft, and/or vehicle related quarry in real time. In various aspects, the device is self-sufficient and may be installed and activated in a single step. Furthermore, the device is not reliant upon external systems of components of the vehicle to operate and may be updated over the air to improve cash detection accuracy.

The present disclosure relates to a contextual service device and method of use to identify an operator's needs, such as in the event a vehicle crash, vehicle breakdown, theft, and/or vehicle related quarry in real time. In various aspects, the device is self-sufficient and may be installed and activated in a single step. Furthermore, the device is not reliant upon external systems of components of the vehicle to operate and may be updated over the air to improve cash detection accuracy.

A shot detection system for a projectile weapon comprising: an accelerometer, a power source, a memory; and a processor configured to: receive accelerometer data from the accelerometer; for a first region of interest, test a first property of the accelerometer data; and store a shot determination result in the memory.

A multi-axis acceleration sensor comprises a frame, a central mass disposed within the frame, and a plurality of transducers mechanically coupled between the frame and the central mass. At least a first set of the transducers are arranged between the frame and the central mass in a manner configured to measure translational and rotational motion with respect to a first predefined axis.

A method for determining the orientation of at least two inertial sensors in a device or between at least two devices, each having at least one inertial sensor, includes a) receiving first raw acceleration data and/or rotation rate data of a first inertial sensor in three directions during regular operation of the device; b) simultaneously to step a), receiving second raw acceleration data and/or rotation rate data of a second inertial sensor in three directions during regular operation of the device; c) time-synchronizing the first and second raw acceleration data and/or rotation rate data so that the time-synchronized raw acceleration data of the first inertial sensor and of the second inertial sensor are generated; and d) calculating relative orientation angles in three spatial directions between the first inertial sensor and the second inertial sensor with the time-synchronized raw acceleration data.

A method for determining the orientation of at least two inertial sensors in a device or between at least two devices, each having at least one inertial sensor, includes a) receiving first raw acceleration data and/or rotation rate data of a first inertial sensor in three directions during regular operation of the device; b) simultaneously to step a), receiving second raw acceleration data and/or rotation rate data of a second inertial sensor in three directions during regular operation of the device; c) time-synchronizing the first and second raw acceleration data and/or rotation rate data so that the time-synchronized raw acceleration data of the first inertial sensor and of the second inertial sensor are generated; and d) calculating relative orientation angles in three spatial directions between the first inertial sensor and the second inertial sensor with the time-synchronized raw acceleration data.