| 摘要 |
<p>A personal identification system for use in security and various other types of pattern matching applications provides accurate recognition of a known person. This system uses a large quantity of course but inexpensive sensors (100) to create a profile (106) of a person seeking to enter the controlled space. The sensors measure different statistically independent characteristics of the person, such as height, weight, stride, voice timbre, and time to perform various functions. The measurements are used to search a data base of patterns related to admissible individuals (108). Active agent methods are used to support learning and adaptation of the sensor set to address sensor drift and changes over time. A combination of many parameters will identify a person with very low probability of both false negative and false positive errors (110).</p> |
