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: 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: 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: A method is provided for evaluating the greatest achievement need in a school for a group of students. The method includes the steps of calculating a plurality of indexes directed to various aspects of student achievement in a particular subject and combining the plurality of indexes to derive a total index for the particular subject. The process is repeated in order to calculate the total index for each subject. Thereafter, the total indexes for each subject are compared and the area of greatest achievement need is determined in response to the comparison.