Various embodiments relating to methods for evaluating injury mitigation performance of helmets that are used for sports (e.g., whitewater kayaking and rafting) are described. In one embodiment, a method for evaluating injury mitigation performance of a helmet includes applying a first impact configuration to a first helmet and applying a second impact configuration to a second helmet of the same model as the first helmet. The method further includes generating acceleration data based on impacts that occur as part of the first impact configuration and the second impact configuration. The method further includes determining concussion risk values based on the generated acceleration data. The method also includes determining a concussion risk metric based on the concussion risk values and exposure values.

Measuring device / sensor system for measuring, transferring and processing of relevant performance data from training and competition in contact sports, in particular the physical contact and its force effect

In practice and as far as possible, performance data in contact sports, in particular those of factual contact and force effect of relevant objects and persons to each other, are not surveyed separately but evaluated subjectively. In contact sports like martial arts this is especially critical, because an occurred contact and its force effect are the significant success data in these sports. In other types of contact sports, e.g. ball sports one is concentrated on the performance data, that lead to goal achievement (e.g. goal scoring) and is not looking objectively into the performance of participants for, for example, draw conclusions about the correct technique execution at any time in a game or competition. Though there are already measuring devices for some contact sports for detecting force effect and contact, these are limited to several defined single sensors and applications. Therefore it may be possible to make objective measurement but in case of doubt, a subjective evaluation of technique and point assignment is still necessary. This invention contains a system of measuring devices, that can, especially in martial arts sports, improve the point assignment and in other contact sports the evaluation of techniques. These special measuring devices for contact measuring and its movement and acceleration sensors, display systems and hardware interfaces can be combined with software interfaces and be tailored to fit different applications. In case of martial arts sports, the configuration of protective equipment with these measuring devices is one use case, in which the measuring devices detect all relevant data like contact, force effect and movement direction, that can be used for competition decisions.

A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.

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.

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 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.

Aspects of the disclosure relate to computing platforms that utilize improved techniques for dynamic event verification. A computing platform may receive first source data comprising driving data associated with a vehicle over a time period. Based on the first source data, the computing device may determine that the vehicle experienced an event, resulting in an event output. In response to determining the event output, the computing device may generate a request for second source data associated with the vehicle over the time period. The computing device may receive, from a sensor device, the second source data. Based on a comparison of the first source data to the second source data, the computing platform may determine an event comparison output. The computing platform may determine that the event comparison output exceeds a predetermined comparison threshold, and may send an indication of an event in response.

Devices, methods, and systems for physical contact detection for device pairing are described herein. One device includes a mechanism configured to detect physical contact between the device and a wireless device, a memory, and a processor configured to execute executable instructions stored in the memory to perform a pairing of the wireless device and the device only upon the mechanism detecting the physical contact between the device and the wireless device.

Automated detection of head and/or head-affecting body impact events in data collected is performed using instrumented mouthguard devices. For example, in some embodiments the present disclosure relates to training and operation of an impact classifier system, which is configured to identify head affecting impacts from time-series data collected by an instrumented mouthguard device. Some embodiments relate to a two-stage method for processing impacts, including a first stage in which a set of data is classified by such an impact classifier system, and a second stage whereby impacts classified as head affecting impacts are designated a numerical value based on a predefined scale.

There is provided a method and apparatus for detecting a fall event of the user. In particular, the method includes collecting data associated with activities of the user from a plurality of sensors and distributing the collected data to data sub-windows using signal windowing and segmentation, the data sub-windows indicative of a pre-fall moment, a fall moment, and a post-fall moment. The method further includes extracting a plurality of features from one or more of the data sub-windows and determining whether the event is a fall event at least in part based on the extracted features. The determination of whether the event is a fall event can further be determined by applied support vector machine (SVM) technique. The developed machine learning based methods may be substantially optimum in terms of a trade-off between accuracy and complexity of the evaluation. The method further includes multiple rejection filters in order to aid with the prevention of false alarms due to fall-like activities of daily living (ADLs). The method further includes a personalization process to update the machine learning based methods associated with each user.