Abstract: A system and method are presented for use in monitoring brain activity of a subject. The system comprises a control unit which comprises: a data input utility for receiving measured data comprising data corresponding to signals measured during a certain time period and being indicative of a subject's brain activity originated from locations in the subject's brain during said certain time period, and a processor utility which is configured and operable for processing the measured data and generating data indicative thereof in the form of a multi-parameter function presenting a relation between frequency and time data of the measured signals and for analyzing said relation and identifying a subject-related signature corresponding to the subject's brain neural activity.

Abstract: A system and method are presented for use in monitoring brain activity of a subject. The system comprises a control unit which comprises: a data input utility for receiving measured data comprising data corresponding to signals measured during a certain time period and being indicative of a subject's brain activity originated from locations in the subject's brain during said certain time period, and a processor utility which is configured and operable for processing the measured data and generating data indicative thereof in the form of a multi-parameter function presenting a relation between frequency and time data of the measured signals and for analyzing said relation and identifying a subject-related signature corresponding to the subject's brain neural activity.

Abstract: A system for dynamically updating a repository of images, wherein a processor is configured to perform repeatedly: a. obtaining a plurality of images of a candidate user; b. comparing data representative of at least one of said acquired images with data representative of images of a plurality of users in a repository, and identifying a candidate user as the given user if the comparison meets an identification criterion; c. comparing data representative of at least one image that has met the identification criterion with data representative of images of the given user in the repository, and updating the data representative of images of the given user stored in the repository with data representative of at least one of the images that has met the identification criterion if the comparison has met an enrollment criterion; said updated repository constituting a repository for subsequent repetitions of stages (a)-(c).

Abstract: A system and method are presented for use in monitoring brain activity of a subject. The system comprises a control unit which comprises: a data input utility for receiving measured data comprising data corresponding to signals measured during a certain time period and being indicative of a subject's brain activity originated from locations in the subject's brain during said certain time period, and a processor utility which is configured and operable for processing the measured data and generating data indicative thereof in the form of a multi-parameter function presenting a relation between frequency and time data of the measured signals and for analyzing said relation and identifying a subject-related signature corresponding to the subject's brain neural activity.