Abstract: A method for selecting music based on face recognition, a music selecting system and an electronic apparatus are provided. The method includes the following steps: accessing a database to retrieve a plurality of song emotion coordinates corresponding to a plurality of songs; mapping the song emotion coordinates to an emotion coordinate graph; capturing a human face image; identifying an emotion state corresponding to the human face image, and transforming the emotion state to a current emotion coordinate; mapping the current emotion coordinate to the emotion coordinate graph; updating a song playlist according to a relative position between the current emotion coordinate and a target emotion coordinate, wherein the song playlist includes a plurality of songs to be played that direct the current emotion coordinate to the target emotion coordinate.

Abstract: A method for selecting music based on face recognition, a music selecting system and an electronic apparatus are provided. The method includes the following steps: accessing a database to retrieve a plurality of song emotion coordinates corresponding to a plurality of songs; mapping the song emotion coordinates to an emotion coordinate graph; capturing a human face image; identifying an emotion state corresponding to the human face image, and transforming the emotion state to a current emotion coordinate; mapping the current emotion coordinate to the emotion coordinate graph; updating a song playlist according to a relative position between the current emotion coordinate and a target emotion coordinate, wherein the song playlist includes a plurality of songs to be played that direct the current emotion coordinate to the target emotion coordinate.

Abstract: The present invention discloses a human identification system by fusion of face recognition and speaker recognition, a method and a service robot thereof. The system fuses results of the face recognition and the speaker recognition, and further uses confidence index to estimate the confidence level of the two recognition results. If only one of the confidence indices of the two recognition results reaches the threshold, then only this result is used as the output. If both confidence indices of the two recognition results reach the threshold, then the two recognition results are fused to output as a final result.

Abstract: The present invention discloses a human identification system by fusion of face recognition and speaker recognition, a method and a service robot thereof. The system fuses results of the face recognition and the speaker recognition, and further uses confidence index to estimate the confidence level of the two recognition results. If only one of the confidence indices of the two recognition results reaches the threshold, then only this result is used as the output. If both confidence indices of the two recognition results reach the threshold, then the two recognition results are fused to output as a final result.

Abstract: A sensor system for receiving an input signal and applying a digital control signal to adjust an output sensitivity of a triggering signal within the sensor system. The input signal includes a bias DC and a fluctuation bias voltage. The sensor system includes a first voltage contact, a normalized voltage contact, a normalized circuit and a comparison circuit. The first voltage contact provides a first comparison voltage based on the digital control signal, wherein the first comparison voltage defines a standby voltage region. The normalized voltage contact provides a reference voltage based on the digital control signal, wherein the reference voltage is located within the standby voltage region. When the fluctuation bias voltage is located outside of the standby voltage region, the sensor system outputs a triggering signal so as to adjust the digital control signal.

Abstract: A sensor system for receiving an input signal and applying a digital control signal to adjust an output sensitivity of a triggering signal within the sensor system. The input signal includes a bias DC and a fluctuation bias voltage. The sensor system includes a first voltage contact, a normalized voltage contact, a normalized circuit and a comparison circuit. The first voltage contact provides a first comparison voltage based on the digital control signal, wherein the first comparison voltage defines a standby voltage region. The normalized voltage contact provides a reference voltage based on the digital control signal, wherein the reference voltage is located within the standby voltage region. When the fluctuation bias voltage is located outside of the standby voltage region, the sensor system outputs a triggering signal so as to adjust the digital control signal.

Abstract: A method for analyzing abnormal network behaviors and isolating computer virus attacks comprises network equipments controlled by an automatic program so as to have a serious of processes of a packet analyzing, an identity locking and an instant isolating. By using a network monitoring module or/and a network identity module involved in the automatic program to simultaneously deal with the processes of the packet analyzing and the identity locking, and then by using an automatic locking module also involved in the automatic program to execute the process of the instant isolating, the viruses are appropriately isolated and then antivirus softwares scan the infected computer so as to have a problem solving, thereby obtaining a restoring.