Notification device, wearable device and notification method

A notification method, comprising:

• detecting a plurality of sound signals in time domain from environment;
• processing the sound signals in time domain during a first time period prior to a current time point to obtain a plurality of dynamic statistics of the sound signals in time domain during the first time period;
• generating a dynamic threshold corresponding to the current time point by the dynamic statistics, comprising:
• generating a plurality of candidate dynamic thresholds, wherein each of the candidate dynamic thresholds is formed by the dynamic statistics and a plurality of weights corresponding to the dynamic statistics;
• and
• selecting the smallest one of the candidate dynamic thresholds as the dynamic threshold;
• confirming whether a magnitude of the sound signals in time domain at the current time point is greater than the dynamic threshold;
• converting the sound signals in time domain during a second time period following the current time point to a plurality of sound information in frequency domain when the magnitude of the sound signals in time domain at the current time point is greater than the dynamic threshold;
• recognizing the sound information in frequency domain to obtain a first sound type corresponding to the sound information;
• and
• transmitting a feedback signal to an output device based on the first sound type.

A notification method, comprising:

• detecting sounds from environment and providing a plurality of conditions corresponding to the sounds from the environment to establish a sound recognition module in a server;
• detecting a plurality of sound signals in time domain from environment;
• processing the sound signals in time domain during a first time period prior to a current time point to obtain a plurality of dynamic statistics of the sound signals in time domain during the first time period;
• generating a dynamic threshold corresponding to the current time point by the dynamic statistics, comprising:
• generating a plurality of candidate dynamic thresholds, wherein each of the candidate dynamic thresholds is formed by the dynamic statistics and a plurality of weights corresponding to the dynamic statistics;
• and
• selecting the smallest one of the candidate dynamic thresholds as the dynamic threshold;
• confirming whether a magnitude of the sound signals in time domain at the current time point is greater than the dynamic threshold;
• transmitting the sound signals in time domain during a second time period following the current time point to the server;
• recognizing the sound signals in time domain during the second time period to obtain a first sound type of the sound signals in time domain during the second time period, wherein the first sound type corresponds to one of the condition;
• providing a feedback signal corresponding to the first sound type;
• and
• providing a feedback action by an output device according to the feedback signal to notify an user wearing the output device.