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 device which may be connected to a liquid supply line for use in separating a foreign liquid and particulate matter contained in a supply liquid, wherein the foreign liquid has a specific gravity greater than that of the supply liquid. The device is particularly suitable for separating water and dirt particles from a liquid fuel.

Abstract: This invention provides a drain system for draining, from a settling chamber of a trapping device, foreign liquid which has separated from a supply liquid flowing through the device. The foreign liquid has a specific gravity greater than that of the supply liquid. The drain system includes a float in the lower part of the chamber and having a specific gravity higher than that of the supply liquid and lower than that of the foreign liquid for floating on foreign liquid in the chamber. An indicator is movable with the float, and a sensor mechanically isolated from the indicator is connected to an electrical signal circuit for causing an actuating signal in response to detection by the float of a predetermined quantity of foreign liquid in the settling chamber. A pump is responsive to such an actuating signal for effecting draining of foreign liquids from the chamber.