Abstract: According to an embodiment of the disclosure, there is provided a method that includes displaying a video with audio and/or visual cues that allow an individual to match timing with a predetermined movement, obtaining a video signal of the individual performing the predetermined movement, synchronizing the recorded video of the individual with a video of the predetermined movement, and displaying the recorded video with the predetermined video for a side-by-side review.

Abstract: Disclosed is a method for analyzing an athletic throwing motion by an individual. The method is executed by a motion monitoring system having at least one computer and at least one inertial sensor for sensing movement of the individual. The method involves the at least one computer receiving inertial sensor data from the at least one inertial sensor during execution of the athletic throwing motion by the individual, analyzing the athletic throwing motion by determining at least one metric from the inertial sensor data, and generating constructive feedback regarding the athletic throwing motion based on the at least one metric. The constructive feedback can for example be biofeedback and/or a prescription for a set of exercises. The constructive feedback can help the individual improve upon the athletic throwing motion. Also disclosed is a motion monitoring system.

Abstract: A system and method for analyzing and improving the performance of a body motion, which requires receiving, by a CPU, sensor data from sensors worn by a user; storing the transmitted sensor data in a data buffer; recognizing that a motion gesture occurred based on a signature of acceleration data in the buffered sensor data, extracting from the data buffer sensor data from a predetermined time window around the moment when the motion gesture occurred; automatically generating a regime file customized for the user based on the extracted sensor data, and generating in real-time a user interface displaying a representation corresponding to the motion indicated by the sensor data, wherein the CPU determines the signature of acceleration data by matching the buffered sensor data with stored motion signatures, wherein the regime file is automatically generated based on diagnostic parameters obtained from the sensor data associated with a motion activity category.

Abstract: Disclosed is a method for analyzing an athletic throwing motion by an individual. The method is executed by a motion monitoring system having at least one computer and at least one inertial sensor for sensing movement of the individual. The method involves the at least one computer receiving inertial sensor data from the at least one inertial sensor during execution of the athletic throwing motion by the individual, analyzing the athletic throwing motion by determining at least one metric from the inertial sensor data, and generating constructive feedback regarding the athletic throwing motion based on the at least one metric. The constructive feedback can for example be biofeedback and/or a prescription for a set of exercises. The constructive feedback can help the individual improve upon the athletic throwing motion. Also disclosed is a motion monitoring system.

Abstract: A system and method for analyzing and improving the performance of a body motion, which requires receiving, by a CPU, sensor data from sensors worn by a user; storing the transmitted sensor data in a data buffer; recognizing that a motion gesture occurred based on a signature of acceleration data in the buffered sensor data, extracting from the data buffer sensor data from a predetermined time window around the moment when the motion gesture occurred; automatically generating a regime file customized for the user based on the extracted sensor data, and generating in real-time a user interface displaying a representation corresponding to the motion indicated by the sensor data, wherein the CPU determines the signature of acceleration data by matching the buffered sensor data with stored motion signatures, wherein the regime file is automatically generated based on diagnostic parameters obtained from the sensor data associated with a motion activity category.

Abstract: Aspects of the present disclosure are directed to apparatuses, systems and methods involving imaging providing pixel intensity ratios using circuitry. According to an example embodiment, an apparatus includes a photosensor array having an array of sensors and a circuitry. Each sensor of the photosensor array provides a signal value for a pixel that is indicative of an intensity of light detected. Further, the circuitry responds to the signal values from a plurality of sensors of the photosensor array, by converting signals indicative of a ratio of pixel intensity values to a digital signal that characterize at least an edge of an object corresponding to or associated with the intensity of the detected light. The circuitry provides digital signals, each indicative of a ratio of pixel intensity values, for respective sensors of the photosensor array.

Abstract: Aspects of the present disclosure are directed to apparatuses, systems and methods involving imaging providing pixel intensity ratios using circuitry. According to an example embodiment, an apparatus includes a photosensor array having an array of sensors and a circuitry. Each sensor of the photosensor array provides a signal value for a pixel that is indicative of an intensity of light detected. Further, the circuitry responds to the signal values from a plurality of sensors of the photosensor array, by converting signals indicative of a ratio of pixel intensity values to a digital signal that characterize at least an edge of an object corresponding to or associated with the intensity of the detected light. The circuitry provides digital signals, each indicative of a ratio of pixel intensity values, for respective sensors of the photosensor array.