Adaptive Weight Management System with Dynamic Sub-Goal Adjustment
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Solution Overview
Problem
Individuals face challenges in effectively managing weight loss due to large, unattainable goals and lack of accountability, leading to difficulty in maintaining weight loss over time, which contributes to health issues and high healthcare costs.
Innovation Solution
A weight management system that generates adaptive sub-goals based on current weight, desired weight loss, and timeframe, using a curve tension model to distribute weight loss, and provides accountability through a connected weighing device and cloud server, offering feedback and adjustments to keep users on track.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If large weight loss goals are set, then the motivation for significant weight loss is improved, but the attainability and sustainability of the goal deteriorates
Solution Approach 1:
The patent divides a large weight loss goal into multiple smaller sub-goals that are distributed over time periods. Each sub-goal represents a manageable weight loss target that is more attainable than the overall goal, while collectively achieving the total weight loss objective. This segmentation makes the weight loss journey less overwhelming and more sustainable.
Solution Approach 2:
The system dynamically adjusts sub-goals based on individual performance, progress rate, and changing conditions. The sub-goal generation formulas adapt to each user's specific characteristics and progress, making the goals flexible rather than fixed. This dynamic adjustment ensures goals remain challenging yet attainable throughout the weight loss process.
2Productivity
If self-monitoring is implemented, then weight loss effectiveness is improved, but the complexity of tracking and management increases
Solution Approach 1:
The weighing device automatically performs self-monitoring functions without requiring manual intervention. The device autonomously tracks weight measurements, compares them against sub-goals, and generates feedback. This eliminates the need for users to manually log data or complexly track progress, reducing the perceived complexity while maintaining effective monitoring.
Solution Approach 2:
The system provides automated feedback mechanisms that compare actual weight measurements with target sub-goals. The weighing device and associated systems generate immediate feedback on progress, highlighting whether the user is on track or needs adjustment. This automated feedback loop simplifies the monitoring process by providing clear, actionable information without requiring complex user analysis.
3Duration of action of stationary object
If accountability framework is established, then weight loss sustainability is improved, but the system complexity and resource requirements increase
Solution Approach 1:
The accountability framework utilizes automated feedback loops where the system continuously monitors progress against sub-goals and provides guidance. The weighing device communicates with remote systems that generate feedback messages, encouraging users to stay on track. This automated accountability reduces the need for complex human intervention while maintaining sustained motivation and progress tracking over time.
Data Source
AI summary
A computer implemented method for interactive weight management that includes generating a number of sub-goal weights g0, g1, . . . gn based on a current weight Cw, a desired weight loss amount (ΔW), a desired weight Dw, a curve tension r, and a timeframe (τ) in which the weight loss amount (ΔW) is to be achieved, wherein the timeframe (τ) includes a number (n) of time periods that each correspond with a pair of successive ones of the sub-goal weights g0, g1, . . . gn. The method includes sending the sub-goal weights g0, g1, . . . gn and the number (n) of time periods to a weight measuring device that is associated with a user. Based on the condition Wa1>gi<Wa2 or based on the conditionWa1<gi+gi+12andWa2<gi+1+gi+22,new sub-goal weights g0, g1, . . . gn are generated and are updated in the weighing device.