Abstract: In some embodiments, a computer system comprises processors, a request manager coupled to the processors and configured to receive practice test requests, a practice test manager configured to retrieve practice test data, a real time session manager configured to establish a real time session with a user computer, an AI-based analyzer configured to execute a machine learning model to determine accuracy of results received from the user computer, a non-transitory computer-readable storage medium storing sequences of instructions for: receiving, using the request manager, a request for performing a practice test; retrieving, using the practice test manager, data for the practice test; using the real time session manager: establishing a real time session with the user computer to enable the user computer to access the data and execute the practice test; and as the practice test is executed, collecting test results and transmitting them to user devices.

Abstract: A computer system comprises a sensor device configured to attach to a rotating object. The sensor device has a gyroscopic sensor that is configured to measure rotational motion on one or more planes. The sensor device detects rotational movement and generates and transmits signals that represent the rotational movement detected to a mobile computing device. The mobile computing device receives the signals and assigns timestamp values to the signals. The mobile computing device also receives object parameter information that describes object attributes. The mobile computing device generates angular velocity datasets and object datasets that describe motion or positions of the object. The mobile computing device then generates sets of graphical representations from the object datasets and displays graphs from the sets of graphical representations, where each graph displayed is obtained from a distinct set of graphical representations.

Abstract: Techniques are provided to implement the display of synchronized sensor data and captured video signal. A mobile computing device receives a set of data points from a multi-sensor device. The set of data points may be assigned a timestamp value, obtained from an internal clock within the mobile computing device. Sets of data points and their assigned timestamp values are aggregated into an aggregated sensor dataset that represents the sets of data points over a particular period of time. Concurrent to receiving the sensor data, video frames are received. The video frames with an assigned timestamp value are stored in a video frame dataset that represents video frames over a particular period of time. The aggregated sensor dataset and the video frame dataset are synchronized and combined into a single combined video dataset based upon the assigned timestamp values of the sets of data points and the video frames.