Abstract: According to one aspect of the presently disclosed subject there is provided a computerized method for scoring performance of a move of a trainee in a trainee frame input in relation to a move of a trainer in a trainer video wherein the trainer move includes at least one trainer keyframe. The method comprising obtaining a trainee frame input comprising a trainee move, the trainee move comprising a plurality of trainee frames, based on the at least one trainer keyframe, processing the plurality of trainee frames to provide a move performance score, indicative of the performance of the trainee move in relation to the trainer move, with respect to at least one aspect of the performance. In some examples, the aspects can be one of a similarity aspect, a timing aspect, or a motion dynamics aspect or a combination thereof.

Abstract: The presently disclosed subject matter includes a computerized system and method of tracking and characterizing dynamics using at least one ML model configured to operate well under conditions where data input rate is varying as well as condition where data input rate is constant.

Abstract: The presently disclosed subject matter there includes a computerized device that comprises a processing circuitry, and one or more sensors including at least one image sensor configured to continuously capture images of an environment; the processing circuitry is configured to process the captured images and: detect an object within the environment; track a trajectory of movement of the object; select a best fitting motion model to the trajectory and determine a state of the object based on the best fitting motion model; and determine at least one intersection point between the object and a target object.

Abstract: A computer-implemented method and a computer program product, the method comprising: receiving environmental sensory input from sensors embedded within a first device associated with the user, the environmental sensory input indicative of a user context; determining the context of the user from at least the environmental sensory input; receiving physiological sensory indicative of a user state input from physiological sensors embedded within a second device associated with the user; determining the state of the user from at least the physiological sensory input; determining a trigger based on at least the context and the state of the user; subject to the trigger, obtaining content materials based at least on the environmental sensory input, to be provided in association with the trigger; preparing message content to be sent in a message, using at least the content materials; and sending the message to at least one recipient over a digital communication channel.