AI-Enabled Smart Utensil for Bite Weight and Eating Speed Tracking
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Solution Overview
Problem
Existing meal-tracking technologies inaccurately estimate food consumption due to user estimation of portion size and do not account for eating speed, leading to potential health issues.
Innovation Solution
A smart utensil equipped with capacitive detection, a load cell, and image recognition to measure bite weight and speed, integrated with AI for real-time nutritional tracking and haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing meal-tracking solutions are used, then food logging is simplified, but eating speed is not tracked leading to potential overeating
Solution Approach 1:
The patent implements continuous monitoring of eating behavior through the load cell sensor, which continuously measures weight changes as food is consumed. This continuous data stream captures eating speed and patterns throughout the meal, providing ongoing useful information without interrupting the eating process.
Solution Approach 2:
The patent incorporates feedback mechanisms that provide users with real-time or post-meal information about their eating speed and patterns. This feedback loop enables users to adjust their eating behavior based on objective data, promoting healthier eating habits while maintaining system simplicity.
2Measurement precision
If multiple sensors are integrated into the utensil for comprehensive tracking, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple sensing functions into a single integrated utensil device. The load cell sensor, capacitive touch sensor, and camera module are combined in one device, allowing comprehensive measurement of portion weight, mouth contact events, and food imagery simultaneously, reducing the need for multiple separate devices.
Solution Approach 2:
The patent designs the smart utensil with multi-functionality, where a single device performs multiple tracking functions: weight measurement, bite detection, food identification, and eating speed calculation. This universal approach simplifies the user experience by consolidating various tracking capabilities into one tool.
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
Accurately records food consumption and eating habits, providing users with real-time nutritional insights and promoting mindful eating.
Implementation Method 1
The head further comprises a capacitive touch sensor configured to detect contact between the head and the mouth of a user
Implementation Method 2
a load cell coupled to the head and configured to measure force caused by food on the head
Data Source
AI summary
A utensil for monitoring the eating habits of a user. The utensil comprises a handle; a head coupled to the handle that receives food; a camera module disposed in the handle that captures an image of food; and a load cell coupled to the head that measures force caused by food on the head. The utensil also includes an inertial measurement unit disposed in the handle that detects movement of the utensil and a control processor disposed in the handle. The control processor is configured to determine a weight of the food on the head based on force measurements received from the load cell.