Techniques for leveraging data collected by wearable devices and additional devices
Inventors
Singleton, Robert Alexander • Kent, Steve • Erkkilä, Mika • Koskimäki, Heli Tuulia • Chapp, Michael
Assignees
Publication Number
US-11937905-B2
Publication Date
2024-03-26
Expiration Date
2042-12-22
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Abstract
Methods, systems, and devices for leveraging data from multiple data sources are described. A method includes receiving physiological data associated with a user from a wearable device and receiving additional data from an external device different from the wearable device, the additional data including at least data associated with characteristics of an environment associated with the user. The method further includes identifying one or more relationships between the collected physiological data and the characteristics of the environment associated with the user, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more relationships, a message associated with the one or more relationships, or both. In some cases, the method includes causing the GUI to display instructions for selectively adjusting the one or more characteristics of the environment associated with the user based on the one or more relationships.
Core Innovation
The invention describes methods, systems, and devices for leveraging data from multiple data sources, including physiological data collected from wearable devices and additional data collected from external devices. The system receives physiological data associated with a user from a wearable device and additional data related to characteristics of the user's environment from an external device that is different from the wearable device. It then identifies relationships between the physiological data and the environmental characteristics and causes a graphical user interface on a user device to display an indication or message associated with these relationships. In some implementations, the system further causes the GUI to display instructions for selectively adjusting the environmental characteristics based on the identified relationships.
The problem being solved is the limitation of conventional wearable devices that collect physiological data but provide limited insight into the causes of physiological data trends or how environmental factors affect the user's overall health. Physiological data alone, such as data on sleep quality, heart rate, or temperature, may indicate health-related issues but may not inform users about the environmental conditions influencing these issues or how to adjust behavior or surroundings to improve health. The disclosed invention addresses this gap by integrating environmental data collected from external devices to identify physiological relationships and provide tailored guidance to users for better health outcomes.
Claims Coverage
The patent includes one independent claim focused on a system integrating physiological data from a wearable device with environmental data from an external device to identify relationships and influence environmental adjustments. The main inventive features cover data acquisition, relationship identification, positional awareness, interaction classification, and user guidance.
Integration of physiological data with environmental data
The system receives baseline physiological data from a wearable device and additional environmental data from an external device and identifies one or more relationships between these data sets related to the user's environment.
Identification of physiological effects and environment modification
Based on identified relationships and additional physiological data, the system determines physiological effects of the environment on the user and transmits instructions to modify environmental characteristics accordingly.
Environmental characteristics considered
The characteristics include temperature, noise level, ambient light, humidity, air quality, air pressure, or a combination thereof.
Display of instructions via graphical user interface
The system causes a GUI on the user device to display instructions to adjust environmental characteristics based on the identified relationships and physiological effects.
Positional relationship identification
The system identifies a positional relationship between the user and the external device based on physiological and environmental data and wireless connection data, displaying messages associated with the position.
Identification and classification of interactions between users
Using positional data and wireless connection data, the system identifies potential interactions between users and classifies them as positive, negative, or neutral based on physiological data collected during interactions.
Leveraging additional user device data for behavioral guidance
The system receives additional data such as travel plans, time zone changes, or Daylight Savings time shifts from user devices and causes the GUI to display instructions for adjusting behavioral characteristics like sleep schedule accordingly.
Inclusion of environmental location data for behavioral adjustment
The system uses geographical position, latitude, or altitude data to provide user instructions for behavioral adjustments, such as modifying sunlight exposure.
Use of charging device sensor data as external data source
The external device may be a charging device for the wearable device, from which environmental sensor data is collected to support relationship identification and guidance.
Use of wearable ring device measuring physiological data based on arterial blood flow
The wearable device includes a ring configured to collect physiological data using photoplethysmogram (PPG) techniques based on arterial blood flow in the user's finger.
The claims collectively cover a system that combines wearable physiological data with external environmental data to identify relationships affecting user health, provides environment and behavioral guidance, determines positional relationships and interactions between users, and leverages various data from external devices including charging devices and user devices to enhance insight and user guidance.
Stated Advantages
Provides more accurate and helpful guidance to users regarding their behavioral characteristics and overall health by leveraging data from multiple data sources.
Enables identification of how a user's surrounding environment affects physiological data and overall health.
Allows targeted guidance to users on how to adjust their surroundings to improve health outcomes.
Improves identification of user position and potential interactions with other users or devices, enabling tailored messaging and contact tracing possibilities.
Supports voice-enabled interactions to reduce screen time, improve accessibility, and enhance user engagement with the system.
Documented Applications
Analyzing sleep patterns and quality using physiological data collected via wearable devices.
Providing guidance for adjusting environmental characteristics such as room temperature, humidity, noise levels, light levels, and air quality to improve sleep and overall health.
Informing users about behavioral adjustments such as sleep schedule modifications in response to travel plans, time zone changes, or Daylight Savings time shifts.
Detecting positional relationships between users and external devices to provide location-based guidance, such as reminders to take vitamins when near the kitchen.
Performing contact tracing by detecting potential interactions between users based on wireless connections between user devices and classifying interactions as positive, negative, or neutral based on physiological data.
Integrating data from smart home devices (e.g., smart lights, thermostats, virtual assistants), charging devices, and other external sources to enhance environmental insight.
Supporting voice-enabled commands for reading health scores and tagging activities to enhance data analysis and user experience.
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