Patent ID: 11954900
Assignee: UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A method for extrinsic audible monitoring of an operational status of a home automation system on a premises, the method comprising the steps of:
a. processing audio data representative of nominal operation of the home automation system with a computer processor, the computer processor applying an auditory scene analysis to extrapolate operational indicators from the ambient environment of the premises representative of nominal operation of the home automation system;
b. training an unsupervised machine learning model with the operational indicators to build a model of normalcy and detect expectation violations in the operational pattern of the home automation system;
c. concluding the initial training period when a stopping criterion for the unsupervised machine learning model is met;
d. initiating expectation violation monitoring of the home automation system responsive to the conclusion of the initial training period, a digital microphone capturing substantially real-time audio data to an audio store which is processed by the model to confirm nominal operation and to detect expectation violations;
e. responsive to detecting an expectation violation, generating a contrastive sequence comprising audio retrieved from the audio store, the retrieved audio including a first nominal operation audio clip and a second anomaly audio clip of the expectation violation; and
f. transmitting the contrastive sequence to an end user of the home automation system wherein the context of the expectation violation is audibly conveyed to the end user by the contrastive sequence.