Abstract: Some embodiments are directed toward systems and methods comprising, by a processor and memory circuitry implementing at least one neural network, obtaining at least one image of a marine object, acquired by an imaging device of a marine vessel, feeding the at least one image to the at least one neural network, and using the at least one neural network to estimate a distance between the marine vessel and the marine object.

Abstract: A method including by a processor and memory circuitry obtaining first position data informative of a position of first marine objects. The first position data can be obtained based on images acquired by at least one imaging device of a marine vessel, The method can include obtaining second position data informative of a position of second marine objects, wherein the second position data is obtained based on data acquired by at least one sensor of the marine vessel, At least one sensor can be different from the imaging device, wherein at least some of the first marine objects are the same as some of the second marine object. The method can include using the first position data and the second position data to estimate data informative of at least a variable height and a variable orientation of at least one imaging device of the marine vessel.

Abstract: A system for estimating an indoor speed of an individual is provided. The system includes a motion sensor attachable to an upper body of the individual and at least one processor being in communication with the motion sensor. The processor is configured for periodically prompting the user to provide a speed value or instructing the user to run/walk at a specific speed value, extracting features from data collected by the motion sensor that correspond to the speed value and calculating a speed of the individual from a probabilistic model.

Abstract: A system for estimating an indoor speed of an individual is provided. The system includes a motion sensor attachable to an upper body of the individual and at least one processor being in communication with the motion sensor. The processor is configured for periodically prompting the user to provide a speed value or instructing the user to run/walk at a specific speed value, extracting features from data collected by the motion sensor that correspond to the speed value and calculating a speed of the individual from a probabilistic model.

Abstract: System and methods for detecting one or more physiological parameters of a subject are provided. Detecting of physiological parameters can occur through a wearable device that can transmit and receive electromagnetic waves. The received electromagnetic waves are reflections from tissue of the subject. The reflections have motion and noise substantially removed. The one or more physiological parameters can be determined from the motion and noise removed signals.

Abstract: A real-time wireless positioning system, comprising: a plurality of portable tag devices; a plurality of autonomous reference transmitters installed in a defined area housing said plurality of tag devices; a plurality of anchors installed in a defined area housing said plurality of tag devices and said a plurality of autonomous reference transmitters; and at least one location engine unit in an area housing said plurality of tag devices, said a plurality of autonomous reference transmitters and said plurality of anchors.

Abstract: System and methods for detecting one or more physiological parameters of a subject is provided. Detecting of physiological parameters can occur through a wearable device that can transmit and receive electromagnetic waves. The received electromagnetic waves are reflections from tissue of the subject. The reflections have motion and noise substantially removed. The one or more physiological parameters can be determined from motion and noise removed signals.