SENSING NON-SPEECH BODY SOUNDS
First Claim
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1. A mobile sensing system, comprising:
- a microphone configured to capture a set of non-speech body sounds while dampening external sounds and ambient noises;
an audio codec module receiving an analog audio signal representing the captured set of body sounds from the microphone and converting the analog audio signal to a digital signal;
a micro-controller coupled to the audio codec module to filter out non-body sounds from the digital signal and preprocess the filtered digital signal into frame data; and
an audio processor receiving the frame data from the micro-controller, configured to recognize the captured set of body sounds by performing body sound classification based on a set of discriminative acoustic features identified in the frame data.
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Abstract
Methods, systems, and devices are disclosed for implementing mobile sensing of non-speech sounds from a human. In one aspect, a mobile sensing system includes a microphone to capture a diverse set of body sounds while dampening external sounds and ambient noises, wherein the captured diverse set of body sounds are not speech. The mobile sensing system includes a micro-controller in communication with the microphone to perform an algorithm for signal processing and machine learning using the captured diverse set of body sounds.
22 Citations
22 Claims
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1. A mobile sensing system, comprising:
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a microphone configured to capture a set of non-speech body sounds while dampening external sounds and ambient noises; an audio codec module receiving an analog audio signal representing the captured set of body sounds from the microphone and converting the analog audio signal to a digital signal; a micro-controller coupled to the audio codec module to filter out non-body sounds from the digital signal and preprocess the filtered digital signal into frame data; and an audio processor receiving the frame data from the micro-controller, configured to recognize the captured set of body sounds by performing body sound classification based on a set of discriminative acoustic features identified in the frame data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for sensing non-speech body sounds, comprising:
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capturing a set of non-speech body sounds using a microphone while dampening external sounds and ambient noises; encoding the captured set of body sounds into a digital signal; filtering out non-body sounds from the digital signal; recognizing the captured set of body sounds by performing body sound classification based on a set of discriminative acoustic features identified in the digital signal; and analyzing the captured set of body sounds to recognize physiological reactions that generate the set of non-speech body sounds. - View Dependent Claims (10, 11, 12, 13)
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14. A microphone, comprising:
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a capsule filled with an internal acoustic isolation material; a diaphragm placeable on skin of a human body; a sensor placed in the capsule, wherein a first side of the sensor is in contact with the internal acoustic isolation material and a second side of the sensor is covered by the diaphragm; and an external acoustic isolation material enclosing the capsule and the diaphragm and capable of reducing external noise. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22)
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Specification