Smart Glasses Hydration Reminders Using Ingestion Sensing
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Solution Overview
Problem
Current applications and services require users to manually track their water and calorie intake, lacking automation in monitoring victual ingestion.
Innovation Solution
Wearable devices equipped with audio sensors, such as voice accelerometers and IMUs, capture audio vibrations to determine victual ingestion gestures, using machine learning models to provide indications of consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual tracking methods are used, then users can monitor their water and calorie intake, but the process requires significant user effort and time
Solution Approach 1:
The system enables self-service by automatically detecting victual ingestion events through audio sensors and machine learning models, eliminating the need for users to manually record their water and food intake. The wearable device autonomously monitors and tracks consumption patterns.
Solution Approach 2:
The patent replaces manual mechanical tracking (writing down or inputting data) with an automated acoustic detection system using voice accelerometers and machine learning algorithms to detect swallowing sounds and determine victual ingestion events.
2Measurement precision
If automated detection systems are implemented, then tracking accuracy improves, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary machine learning model that processes raw audio signals from the voice accelerometer, transforming complex acoustic data into reliable victual ingestion detection without requiring direct complex hardware modifications.
Solution Approach 2:
The wearable device integrates multiple functions including audio recording, machine learning processing, and victual detection capabilities within a single unified system, allowing the same hardware to serve multiple purposes and reducing overall device complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Automates the tracking of food and drink intake, providing accurate notifications and reminders for hydration and diet management.
Implementation Method 1
Wearable devices may include at least one audio sensor, such as a voice accelerometer, that can capture audio vibrations from the user. The audio sensor captures audio vibrations produced by victual ingestion gestures
Implementation Method 2
a voice accelerometer, a contact microphone, and/or an inertial measurement unit (IMU), that can capture audio vibrations from the user
Data Source
AI summary
An example method of providing a notification that includes tracking daily water consumption of a wearer of a pair of smart glasses, via one or more sensors of a pair of smart glasses is discussed herein. The example method also includes that in accordance with a determination that water consumption is recommend for the wearer, providing, via the pair of smart glasses, a notification to the wearer suggesting that the wearer drinks water.