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US 11,806,171 B2Granted
Time scaled infection risk and illness assessment 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.
Claims20
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 deducing as user information a location type and/or user activity of each of the positional destinations;
- 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, 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, wherein the assigning the user risk assessment comprises:
- determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities, and 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;
- 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;
- 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.
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 deducing as user information a location type and/or user activity of each of the positional destinations;
- 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, wherein the assigning the user risk assessment comprises:
- 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, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities, wherein the risk metric is determined from a predetermined assessment score for each of the location and any activity performed at the location, as a function of time at the location and/or performing the activity;
- providing the user risk assessment to a community member via a community member electronic device;
- 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;
- 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.
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 deducing as user information a location type and/or user activity of each of the positional destinations;
- 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, wherein the assigning the user risk assessment comprises:
- determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities;
- 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;
- 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;
- 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.
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 and monitoring positional destinations of a first user using a first mobile electronic device of the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations;
- 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, wherein the assigning the user risk assessment comprises:
- determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities;
- 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;
- 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;
- 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;
- 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.
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 and monitoring positional destinations of a first user using a first mobile electronic device of the user;
- automatically deducing as user information a location type and/or user activity of each of the positional destinations;
- 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, wherein the assigning the user risk assessment comprises:
- determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities;
- providing the user risk assessment to a community member via a community member electronic device;
- 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;
- 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.