Abstract: A physiological monitoring system is provided. The physiological monitoring system includes a feature extraction device, an identifier, a processor, a physiological sensing device, and a vital-sign detector. The feature extraction device extracts biological information of an object to generate an extraction signal. The identifier receives the extraction signal and verifies an identity of the object according to the extraction signal. The processor receives the extraction signal and obtains at least one biological feature of the user according to the extraction signal. The physiological sensing device senses a physiological feature to generate a bio-signal. The vital-sign detector estimates vital-sign data of the object according to the bio-signal and the at least one biological feature.

Abstract: A physiological monitoring system is provided. The physiological monitoring system includes a feature extraction device, an identifier, a processor, a physiological sensing device, and a vital-sign detector. The feature extraction device extracts biological information of an object to generate an extraction signal. The identifier receives the extraction signal and verifies an identity of the object according to the extraction signal. The processor receives the extraction signal and obtains at least one biological feature of the user according to the extraction signal. The physiological sensing device senses a physiological feature to generate a bio-signal. The vital-sign detector estimates vital-sign data of the object according to the bio-signal and the at least one biological feature.

Abstract: A device is operative to locate a target audio source. The device includes multiple microphones arranged in a predetermined geometry. The device also includes a circuit operative to receive multiple audio signals from each of the microphones. The circuit is operative to estimate respective directions of audio sources that generate at least two of the audio signals; identify candidate audio signals from the audio signals in the directions; match the candidate audio signals with a known audio pattern; and generate an indication of a match in response to one of the candidate audio signals matching the known audio pattern.

Abstract: A proximity detection method for detecting absorptive and reflective proximal objects using ultrasound signals and an associated electronic device are provided. The electronic device includes an audio codec, and an acoustics module having a microphone and a speaker. The method includes the steps of: utilizing the speaker to emit an ultrasound signal encoded by the audio codec; utilizing the microphone to sense to generate an incoming ultrasound signal associated with the emitted ultrasound signal; decoding the incoming ultrasound signal into ultrasound waves; and analyzing the ultrasound waves to detect the proximity of a proximal object.

Abstract: An electronic device controlling method and a user registration method are provided. In the electronic device controlling method, when a target device receives a first and a second control commands which are identical, but performed by different users simultaneously or separately, the target device performs a first predetermined operation based on an identity of the user performing the first control command, and performs a second predetermined operation based on an identity of the user performing the second control command. In the user registration method, a user registered identity model corresponding to a user to be registered is established according to identity information of the user, and is mapped to a user profile comprising a relationship between the control commands and the predetermined operations. By acquiring the registered information, the target device is able to perform the user dependent operations.

Abstract: A mobile device includes a motion detector, a processing unit, and a wireless positioning module. The motion detector is configured to detect a motion of the mobile device to obtain a motion signal. The processing unit is configured to do the followings: process the motion signal to obtain a vibration frequency and a vibration regularity of the mobile device; determine a device activity status of the mobile device according to the vibration frequency and the vibration regularity; and generate a control signal when finding that the device activity status switches from a first activity status to a second activity status. The wireless positioning module is configured to identify a first location of the mobile device in response to the control signal.

Abstract: A mobile device includes a motion detector, a processing unit, and a wireless positioning module. The motion detector is configured to detect a motion of the mobile device to obtain a motion signal. The processing unit is configured to do the followings: process the motion signal to obtain a vibration frequency and a vibration regularity of the mobile device; determine a device activity status of the mobile device according to the vibration frequency and the vibration regularity; and generate a control signal when finding that the device activity status switches from a first activity status to a second activity status. The wireless positioning module is configured to identify a first location of the mobile device in response to the control signal.

Abstract: The disclosure provides a method for displaying words. In the method, a speech signal is received. A pitch contour and an energy contour of the speech signal are extracted. Speech recognition is performed on the speech signal to recognize a plurality of words corresponding to the speech signal and determine time alignment information of each of the plurality of words. At least one display parameter of each of the plurality of words is determined according to the pitch contour, the energy contour and the time alignment information of each of the plurality of words. Thus, the plurality of words is integrated into a sentence according to the at least one display parameter of each of the plurality of words. Then, the sentence is displayed on at least one display device.

Abstract: The disclosure provides a method for displaying words. In the method, a speech signal is received. A pitch contour and an energy contour of the speech signal are extracted. Speech recognition is performed on the speech signal to recognize a plurality of words corresponding to the speech signal and determine time alignment information of each of the plurality of words. At least one display parameter of each of the plurality of words is determined according to the pitch contour, the energy contour and the time alignment information of each of the plurality of words. Thus, the plurality of words is integrated into a sentence according to the at least one display parameter of each of the plurality of words. Then, the sentence is displayed on at least one display device.

Abstract: Voice processing methods and systems are provided. An utterance is received. The utterance is compared with teaching materials according to at least one matching algorithm to obtain a plurality of matching values corresponding to a plurality of voice units of the utterance. Respective voice units are scored in at least one first scoring item according to the matching values and a personified voice scoring algorithm. The personified voice scoring algorithm is generated according to training utterances corresponding to at least one training sentence in a phonetic-balanced sentence set of a plurality of learners and at least one real teacher, and scores corresponding to the respective voice units of the training utterances of the learners in the first scoring item provided by the real teacher.

Abstract: Voice processing methods and systems are provided. An utterance is received. The utterance is compared with teaching materials according to at least one matching algorithm to obtain a plurality of matching values corresponding to a plurality of voice units of the utterance. Respective voice units are scored in at least one first scoring item according to the matching values and a personified voice scoring algorithm. The personified voice scoring algorithm is generated according to training utterances corresponding to at least one training sentence in a phonetic-balanced sentence set of a plurality of learners and at least one real teacher, and scores corresponding to the respective voice units of the training utterances of the learners in the first scoring item provided by the real teacher.