Abstract: Disclosed here is a system which uses simulations of an electronic circuit and a classifier to create an optimized Test Program Set. A user provides a model of the circuit, including descriptions of common faults. Candidate test signals are simulated in the circuit, evaluated using a classifier and a fitness function which optimizes for fault detection and isolation, and evolved according to a genetic algorithm. The system records the best test signals and terminates after reaching a certain fitness, or after a certain time. The process generates necessary information for an optimized Test Program Set for a given Unit Under Test circuit. This allows test program sets to be generated for complex circuits in a largely automated manner.

Abstract: A method of identifying a human gesture using a machine includes providing a time sequence of data related to the human gesture; transforming the time sequence of data into waveforms; extracting features from the waveforms; and identifying the human gesture based on the extracted features.

Abstract: A method of identifying a human gesture using a machine includes providing a time sequence of data related to the human gesture; transforming the time sequence of data into waveforms; extracting features from the waveforms; and identifying the human gesture based on the extracted features.

Abstract: A gesture recognition system enabling control of a robotic device through gesture command by a user is provided, comprising a robotic unit, a video or infrared camera affixed to the robotic unit, computing means, and high and low level of control gesture recognition application code capable of enabling the system to locate points of left hand, right hand, upper torso and lower torso of the user in the video imagery and convert it to waveform data, correlate the waveform data to user command data, and form corresponding control voltage command(s) for production of electric current voltage(s) to drive one or more of the electric motors or actuators of the robotic device to thereby control same. In addition, a computer software program is provided for use in the gesture recognition system described above.

Abstract: A gesture recognition system enabling control of a robotic device through gesture command by a user is provided, comprising a robotic unit, a video or infrared camera affixed to the robotic unit, computing means, and high and low level of control gesture recognition application code capable of enabling the system to locate points of left hand, right hand, upper torso and lower torso of the user in the video imagery and convert it to waveform data, correlate the waveform data to user command data, and form corresponding control voltage command(s) for production of electric current voltage(s) to drive one or more of the electric motors or actuators of the robotic device to thereby control same. In addition, a computer software program is provided for use in the gesture recognition system described above.