Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Abstract: A method of providing transports for a data distribution middleware over a plurality of transport networks is provided. A data distribution middleware with a pluggable transport layer is provided. A plurality of transport plugins in the transport layer are provided. Aliases are assigned to each of the transport plugins of the plurality of transport plugins, wherein at least one of the transport plugins of the plurality of transport plugins has a plurality of aliases.