Abstract: A sound localization system includes a multi-mic sound collector and a computing device. The multi-mic sound collector includes a carrier and a plurality of sound receivers removably attached to the sound receivers. The computing device includes a data communicator, a synchronizer, and a processor. The data communicator receives preprocessed audio data from the multi-mic sound collector. The synchronizer synchronizes the preprocessed audio data. The processor analyzes the synchronized audio data to identify and localize a target audio feature. A sound localization method of the sound localization system is also provided. The present invention facilitates monitoring of the functioning or physiological signs of a monitored subject and allows early detection and diagnosis of abnormalities or diseases.

Abstract: A sound localization system includes a multi-mic sound collector and a computing device. The multi-mic sound collector includes a carrier and a plurality of sound receivers removably attached to the sound receivers. The computing device includes a data communicator, a synchronizer, and a processor. The data communicator receives preprocessed audio data from the multi-mic sound collector. The synchronizer synchronizes the preprocessed audio data. The processor analyzes the synchronized audio data to identify and localize a target audio feature. A sound localization method of the sound localization system is also provided. The present invention facilitates monitoring of the functioning or physiological signs of a monitored subject and allows early detection and diagnosis of abnormalities or diseases.

Abstract: A system for recognizing physiological sound comprises a receiving module, a feature extracting module, a classifier, and a comparing module. A method for recognizing physiological sound comprises receiving a physiological sound by the receiving module; extracting at least one feature from the physiological sound by the feature extraction module; classifying the at least one feature to identify at least one category by a classifier; and comparing the at least one category with a normal physiological sound and/or an abnormal physiological sound by the comparing module for evaluating a risk of disease. The method and system for recognizing physiological sound can precisely identify the specific physiological sound and exclude the noise.

Abstract: A system for recognizing physiological sound comprises a receiving module, a feature extracting module, a classifier, and a comparing module. A method for recognizing physiological sound comprises receiving a physiological sound by the receiving module; extracting at least one feature from the physiological sound by the feature extraction module; classifying the at least one feature to identify at least one category by a classifier; and comparing the at least one category with a normal physiological sound and/or an abnormal physiological sound by the comparing module for evaluating a risk of disease. The method and system for recognizing physiological sound can precisely identify the specific physiological sound and exclude the noise.