Devices and methods are provided that facilitate proximity or liveness detection of a user of a wearable device or a user interacting with a device based on ultrasonic information. In various embodiments, machine learning classifier models can be employed to generate classification predictions of a donned or a doffed state of a wearable device. In various aspects, a gated-recurrent unit (GRU) recursive neural network (RNN) can be employed as a machine learning classifier model. In other aspects, a liveness detection classifier decision tree can be employed as a machine learning classifier model. Power states or operating modes for associated devices can be selected based on the proximity or liveness of the user of the wearable device, as an example.

A fingerprint anti-counterfeiting method and apparatus, an electronic device and a storage medium are provided. The method includes: determining time-domain characteristic information and frequency-domain characteristic information of a target ultrasonic signal, where the target ultrasonic signal is an echo signal reflected back to an ultrasonic fingerprint module within a continuous time interval during which a fingerprint carrier enrolls a fingerprint via the ultrasonic fingerprint module; and determining authenticity of the fingerprint enrolled by the fingerprint carrier via the ultrasonic fingerprint module, based on the time-domain characteristic information and the frequency-domain characteristic information.

A fingerprint anti-counterfeiting method and apparatus, an electronic device and a storage medium are provided. The method includes: determining time-domain characteristic information and frequency-domain characteristic information of a target ultrasonic signal, where the target ultrasonic signal is an echo signal reflected back to an ultrasonic fingerprint module within a continuous time interval during which a fingerprint carrier enrolls a fingerprint via the ultrasonic fingerprint module; and determining authenticity of the fingerprint enrolled by the fingerprint carrier via the ultrasonic fingerprint module, based on the time-domain characteristic information and the frequency-domain characteristic information.

An ultrasonic system for determining the location of a driver of a vehicle, includes a hand-held device with at least a first ultrasonic sensor, wherein the first ultrasonic sensor has at least one transmitter, and a motor vehicle having a multiplicity of second ultrasonic sensors, wherein the second ultrasonic sensors each have at least one receiver for receiving signals of the first ultrasonic sensor. A method is disclosed for determining the location of a driver of a vehicle.

An ultrasonic system for determining the location of a driver of a vehicle, includes a hand-held device with at least a first ultrasonic sensor, wherein the first ultrasonic sensor has at least one transmitter, and a motor vehicle having a multiplicity of second ultrasonic sensors, wherein the second ultrasonic sensors each have at least one receiver for receiving signals of the first ultrasonic sensor. A method is disclosed for determining the location of a driver of a vehicle.

An electronic apparatus includes a communication interface, a microphone, and a processor configured to obtain a first expectation value for a first sound to be output from a first external electronic apparatus and a second expectation value for a second sound to be output from a second external electronic apparatus, control the communication interface to transmit a first sound output request signal to the first external electronic apparatus, obtain a first measurement value for the first sound, control the communication interface to transmit a second sound output request signal to the second external electronic apparatus, obtain a second measurement value for the second sound, and obtain a correction value for one or more of the first measurement value and the second measurement value based on the obtained first measurement value, the obtained second measurement value, the obtained first expectation value, and the obtained second expectation value.

An electronic apparatus includes a communication interface, a microphone, and a processor configured to obtain a first expectation value for a first sound to be output from a first external electronic apparatus and a second expectation value for a second sound to be output from a second external electronic apparatus, control the communication interface to transmit a first sound output request signal to the first external electronic apparatus, obtain a first measurement value for the first sound, control the communication interface to transmit a second sound output request signal to the second external electronic apparatus, obtain a second measurement value for the second sound, and obtain a correction value for one or more of the first measurement value and the second measurement value based on the obtained first measurement value, the obtained second measurement value, the obtained first expectation value, and the obtained second expectation value.