Personal assistant computing system monitoring

Patent metadata

Field	Value
Publication number	US-11069444-B2
Application number	US-201715729832-A
Country	US
Kind code	B2
Filing date	Oct 11, 2017
Priority date	Oct 11, 2017
Publication date	Jul 20, 2021
Grant date	Jul 20, 2021

Abstract

A computing system is configured to process at least one voice input of a user and output an audio result. The computing system comprises at least one microphone configured to receive the voice input from the user. The computing system further comprises at least one processor configured to at least interpret the voice input and generate the audio result. The computing system also comprises an output speaker device configured to output the audio result. The audio result includes a description of whether one or more behavioral health states associated with the user have been detected.

First claim

What is claimed is:

1. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions configured to be executed by a processor to cause the processor to perform a method comprising:
generating, based on historical data about health attributes of a user, a Bayesian network configured to utilize a directed acyclic graph to predict triggering causes of health event episodes of the user;
detecting, by an accelerometer, movements of the user;
determining, based on the detected movements, that a first health event episode is occurring;
using the Bayesian network to predict a triggering cause of the first health episode; and
selectively initiating, based on the predicted triggering cause, a remedial action by causing a treadmill to become activated.

2. A method comprising:
generating, based on historical data about health attributes of a user, a Bayesian network configured to utilize a directed acyclic graph to predict triggering causes of health event episodes of the user;
detecting, by an accelerometer, movements of the user;
determining, based on the detected movements, that a first health event episode is occurring;
using the Bayesian network to predict a triggering cause of the first health episode; and
selectively initiating, based on the predicted triggering cause, a remedial action by causing a treadmill to become activated.

3. A system comprising:
a memory; and
a processor in communication with the memory, the processor configured to obtain program instructions from the memory that cause the processor to perform a method comprising:
generating, based on historical data about health attributes of a user, a Bayesian network configured to utilize a directed acyclic graph to predict triggering causes of health event episodes of the user;
detecting, by an accelerometer, movements of the user;
determining, based on the detected movements, that a first health event episode is occurring;
using the Bayesian network to predict a triggering cause of the first health episode; and
selectively initiating, based on the predicted triggering cause, a remedial action by causing a treadmill to become activated.

Assignees

• IBM

Inventors

• Anumalasetty Kiran K
• Ayyagari Phani Kumar V U
• Bhide Manish A

Classifications

• G10L25/21

  the extracted parameters being power information · CPC title

• G16H10/20

  for electronic clinical trials or questionnaires · CPC title

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H15/00

  ICT specially adapted for medical reports, e.g. generation or transmission thereof · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title