81results about How to "Overcome inaccurate recognition" patented technology

A location system is disclosed for commercial wireless telecommunication infrastructures. The system is an end-to-end solution having one or more location centers for outputting requested locations of commercially available handsets or mobile stations (MS) based on, e.g., CDMA, AMPS, NAMPS or TDMA communication standards, for processing both local MS location requests and more global MS location requests via, e.g., Internet communication between a distributed network of location centers. The system uses a plurality of MS locating technologies including those based on: (1) two-way TOA and TDOA; (2) pattern recognition; (3) distributed antenna provisioning; and (4) supplemental information from various types of very low cost non-infrastructure base stations for communicating via a typical commercial wireless base station infrastructure or a public telephone switching network. Accordingly, the traditional MS location difficulties, such as multipath, poor location accuracy and poor coverage are alleviated via such technologies in combination with strategies for: (a) automatically adapting and calibrating system performance according to environmental and geographical changes; (b) automatically capturing location signal data for continual enhancement of a self-maintaining historical data base retaining predictive location signal data; (c) evaluating MS locations according to both heuristics and constraints related to, e.g., terrain, MS velocity and MS path extrapolation from tracking and (d) adjusting likely MS locations adaptively and statistically so that the system becomes progressively more comprehensive and accurate. Further, the system can be modularly configured for use in location signaling environments ranging from urban, dense urban, suburban, rural, mountain to low traffic or isolated roadways. Accordingly, the system is useful for 911 emergency calls, tracking, routing, people and animal location including applications for confinement to and exclusion from certain areas.

A speech recognition method and system for use in a vehicle navigation system utilize grammar weighted based upon geographical information regarding the locations corresponding to the tokens in the grammars and / or the location of the vehicle for which the vehicle navigation system is used, in order to enhance the performance of speech recognition. The geographical information includes the distances between the vehicle location and the locations corresponding to the tokens, as well as the size, population, and popularity of the locations corresponding to the tokens.

An apparatus for providing flexible text based language identification includes an alphabet scoring element, an n-gram frequency element and a processing element. The alphabet scoring element may be configured to receive an entry in a computer readable text format and to calculate an alphabet score of the entry for each of a plurality of languages. The n-gram frequency element may be configured to calculate an n-gram frequency score of the entry for each of the plurality of languages. The processing element may be in communication with the n-gram frequency element and the alphabet scoring element. The processing element may also be configured to determine a language associated with the entry based on a combination of the alphabet score and the n-gram frequency score.

A multiple pass speech recognition method includes a first pass and a second pass. The first pass recognizes an input speech signal to generate a first pass result. The second pass generates a first grammar having a portion set to match a first part of the input speech signal, based upon the context of the first pass result, and generate a second pass result. The method may further include a third pass grammar limiting the second part of the input speech signal to the second pass result. The third pass grammar includes a model corresponding to the first part of the input speech signal and varying within the second pass result. The third pass compares the first part of the input speech signal to the model while limiting the second part of the input speech signal to the second pass result.

An electronic ink object is preprocessed for improving handwriting recognition results. An electronic ink object, possibly having multiple lines of non-horizontal ink, is preprocessed by segmenting or separating the electronic ink object into one or more lines, computing a writing angle of each line, and rotating each line so that it is horizontal.

The present invention provides a device and a method for determining whether or not a component holder is good, which enable detecting component holders that are to affect correct component recognition and further enable preventing interferences between constituent devices, a component mounting apparatus with the determining device, and a component mounting method. The determining device has an illuminating device, a CCD camera and a controller to determine whether or not a suction nozzle is good based on luminance at a component hold face of the suction nozzle. The suction nozzle having light reflectance of the component hold face increased to a level whereat a correct recognition of an electronic component held by the suction nozzle is affected, can be detected accordingly. An interference preventing device is also provided, so that interference between the CCD camera and the suction nozzle can be prevented.