Abstract: A vibration-based authentication method for an access control system includes: collecting vibration signals generated by a built-in vibration motor in an authentication device; filtering, denoising, and performing endpoint segmentation on the collected vibration signals, and extracting vibration signals containing effective touch; performing an alignment on the segmented vibration signals; performing a fast Fourier transform on the aligned vibration signals to obtain frequency-domain data, extracting frequency-domain features obtained after alignment and features obtained before alignment to construct a training data set, and storing the training data set in a database of the authentication device; using a new unlock signal generated when a user touches the authentication device as test data, and processing the test data to obtain test data containing effective touch; and matching and classifying the test data containing effective touch with the training data set by using a machine learning classification mod

Abstract: A vibration-based authentication method for an access control system includes: collecting vibration signals generated by a built-in vibration motor in an authentication device; filtering, denoising, and performing endpoint segmentation on the collected vibration signals, and extracting vibration signals containing effective touch; performing an alignment on the segmented vibration signals; performing a fast Fourier transform on the aligned vibration signals to obtain frequency-domain data, extracting frequency-domain features obtained after alignment and features obtained before alignment to construct a training data set, and storing the training data set in a database of the authentication device; using a new unlock signal generated when a user touches the authentication device as test data, and processing the test data to obtain test data containing effective touch; and matching and classifying the test data containing effective touch with the training data set by using a machine learning classification mod

Abstract: Method and system for retrieving advertisement information. Information characterizing a user's past search behavior is utilized in creating index data that associate individual users to advertisements. When a search request from a user is received, the index data are utilized to identify one or more advertisements with respect to the received user's search request. Such identified advertisements match the user's past search behavior.

Abstract: Method and system for retrieving advertisement information. Information characterizing a user's past search behavior is utilized in creating index data that associate individual users to advertisements. When a search request from a user is received, the index data are utilized to identify one or more advertisements with respect to the received user's search request. Such identified advertisements match the user's past search behavior.