Abstract: The invention consists of a method and computing system for recording and analyzing the voice which allows a series of parameters of phonation to be calculated. These transmit relevant information regarding effects caused by organic disorders (which affect the physiology of the larynx) or neurological disorders (which affect the cerebral centers of speech). The classification methods are also considered an essential part of the invention which allow estimations of the existing dysfunction to be obtained and for the allocation of personality. The usefulness of the invention lies in the possibility of applying the dysfunction estimation in primary care service centers for patient screening to specialist care centers, simplifying examination protocols, saving costs and reducing waiting lists. This methodology can also be used for detecting the personality of a speaker by their voice, allowing access to installations or services.

Abstract: A vehicle restraint system has a vision-based occupant classification system for control of airbag deployment during a crash scenario. The classification system utilizes two imaging sensors which together create a stream of paired images received and stored by an occupant classification controller. A computer program product of the controller utilizes the paired images to extract disparity/range features and stereo-vision differential edge density features. Moreover, the controller extracts wavelet features from one of the two paired images. All three features or maps are classified amongst preferably seven classifications by algorithms of the computer program product producing class confidence data fed to a sensor fusion engine of the controller for processing and output of an airbag control signal input into a restraint controller of the vehicle restraint system.

Abstract: A method of classifying vehicle occupants utilizes a neural network engine having a state machine for determining if an occupant has changed preferably between an adult and adult, an adult and child, and a child and child from a pair of images. If no change has occurred, the method utilizes the prior occupant type and then decides if the occupant has changed in position. If no, the occupant is deemed static and the prior type is valid as a classification or output to preferably a vehicle restraint system. If the occupant has changed in position, a dynamic classification process is initiated by either an adult or a child dynamic classifier as dictated by the state machine. Valid dynamic classifier outputs or classifications can be sent to the restraint system and invalid dynamic classifier outputs are sent to a static classifier for update of the occupant type.