Back to results
US 11,826,180 B2Granted
Infection risk and illness alerting method
AssigneeAura Home, Inc.
InventorsOphir Frieder, Abdur Chowdhury, Eric Jensen
Life of this patent
Estimating the term…
Abstract
A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.
Claims18
A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
- automatically determining positional destinations of a user using a first mobile electronic device of the user;
- automatically determining context information about each of the positional destinations without input by the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
- automatically learning activity patterns at the positional destinations from the user information;
- assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period, and the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
- providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
- automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
- automatically analyzing the deviation to identify a significance of the deviation;
- automatically correlating the significance of the deviation to a possible infection condition;
- and
- automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.
8 more elements
A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
- automatically determining positional destinations of a user using a first mobile electronic device of the user;
- automatically determining context information about each of the positional destinations without input by the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
- automatically learning activity patterns at the positional destinations from the user information;
- assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
- determining any in-person contact of the user for the each of the locations and/or activities;
- obtaining a contact person risk assessment for the in-person contact;
- adjusting the user risk assessment as a function of the contact person risk assessment;
- providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
- automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
- automatically analyzing the deviation to identify a significance of the deviation;
- automatically correlating the significance of the deviation to a possible infection condition;
- and
- automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.
11 more elements
A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
- automatically determining positional destinations of a user using a first mobile electronic device of the user;
- automatically determining context information about each of the positional destinations without input by the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
- automatically learning activity patterns at the positional destinations from the user information;
- assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
- determining a risk metric for each of the locations and/or activities for the first user, to provide a plurality of risk metrics during the predetermined timeframe;
- computing the user risk assessment from the plurality of risk metrics;
- determining a corresponding user participation time for the each of the locations and/or activities;
- scaling the risk metric for the each of the locations and/or activities according to the corresponding user participation time;
- providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
- automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
- automatically analyzing the deviation to identify a significance of the deviation;
- automatically correlating the significance of the deviation to a possible infection condition;
- and
- automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.
12 more elements
A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
- automatically determining positional destinations of a user using a first mobile electronic device of the user;
- automatically determining context information about each of the positional destinations without input by the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
- automatically learning activity patterns at the positional destinations from the user information;
- assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
- automatically associating the first user with a second user at the positional destination, wherein a second user location and/or second user activity is determined;
- automatically inferring the location type and/or user activity from the second user location and/or activity;
- and
- adjusting the user risk assessment due to in-person contact with the second user;
- providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
- automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
- automatically analyzing the deviation to identify a significance of the deviation;
- automatically correlating the significance of the deviation to a possible infection condition;
- and
- automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.
12 more elements
A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
- automatically determining positional destinations of a user using a first mobile electronic device of the user;
- automatically determining context information about each of the positional destinations without input by the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information, wherein the user activity comprises an eating activity or an exercise activity, and with any one or more community members;
- automatically learning activity patterns at the positional destinations from the user information;
- assigning a user risk assessment to the user according to locations and/or activities of the user during a predetermined timeframe, wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
- providing the user risk assessment to a community member via a community member electronic device before an in-person meeting with the user, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or the in-person meeting being entered into an electronic calendar;
- automatically determining a deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
- automatically analyzing the deviation to identify a significance of the deviation, wherein the analyzing the deviation comprises correlating a geographic or weather condition with the current location, and identifying the temporary change in the learned activity patterns as based upon the geographic condition;
- automatically correlating the significance of the deviation to a possible infection condition;
- and
- automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible infection condition.
8 more elements
A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
- automatically determining and monitoring positional destinations of a first user using a first mobile electronic device of the user;
- automatically determining context information about each of the positional destinations without input by the first user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations from the context information;
- automatically learning activity patterns for the user from the user information;
- assigning a user risk assessment to the first user according to locations and/or activities of the user during a predetermined timeframe;
- providing the user risk assessment to a community member via a community member electronic device, wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or before a scheduled meeting in an electronic calendar;
- automatically determining a decrease deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
- automatically analyzing the decrease deviation to identify a significance of the deviation, wherein analyzing the decrease deviation comprises:
- correlating the deviation to a current location of the first user to identify a temporary decrease in the learned activity patterns as a function of the current location not allowing for the learned activity patterns, and identifying words and/or ideas from sent or received messages via the first mobile electronic device to identify an explanation for the deviation;
- automatically correlating the significance of the decrease deviation to a possible infection condition;
- and
- automatically alerting the first user via the first mobile electronic device or a second user via a second electronic device of the possible infection condition.
9 more elements
Dependencies are inferred from the claim text.