Activity Support Device Predictive Adjustment for Strain Reduction
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Solution Overview
Problem
Existing systems fail to accurately and sustainably support users in achieving their target physical activity levels, often resulting in either insufficient or excessive physical activity, which can lead to strain and difficulty in maintaining activity due to mismatched demands.
Innovation Solution
An activity support device and method that predicts and adjusts physical activity amounts by comparing target and expended activity levels, recommending appropriate activities from available options to match the target, considering factors like location, route, and environmental conditions, to ensure a balanced and sustainable physical activity experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical activity amount is increased to meet target levels, then health benefits are improved, but physical strain increases making it difficult to sustain
Solution Approach 1:
The system performs preliminary calculation of predictive physical activity amount based on scheduled activities before the user executes them. This allows the system to anticipate total expenditure and adjust recommendations in advance, preventing excessive strain while ensuring target achievement.
Solution Approach 2:
The system continuously monitors actual physical activity amount and compares it with target and predictive values. Based on this feedback, it dynamically adjusts activity recommendations to maintain balance between achieving targets and preventing excessive strain.
2Device complexity
If physical activity recommendations are based only on historical data, then system complexity is reduced, but accuracy of predicting future expenditure deteriorates
Solution Approach 1:
The system calculates predictive physical activity amount in advance by combining historical data with scheduled future activities. This preliminary calculation approach improves prediction accuracy without requiring complex real-time analysis, as the computation is performed before the activity period begins.
Solution Approach 2:
The system dynamically adapts the prediction model by incorporating both static historical data and dynamic scheduled activities. This allows the prediction accuracy to improve over time while maintaining manageable system complexity through a modular architecture.
3Reliability
If target physical activity amount is set high to ensure health benefits, then health outcome is improved, but user adherence deteriorates due to excessive demand
Solution Approach 1:
The system calculates the predictive physical activity amount and compares it with the target to identify any deficit. It then recommends only the necessary additional activities to bridge this gap, avoiding excessive recommendations that would undermine user adherence while ensuring the target is met.
Solution Approach 2:
The system adjusts activity recommendations based on changing parameters including current actual expenditure, predictive future expenditure, and user feedback. This dynamic parameter adjustment ensures recommendations remain appropriate and sustainable while achieving health targets.
Data Source
AI summary
In an activity support device, a plan acquisition means acquires a target physical activity amount of a user in a predetermined period and a predictive physical activity amount representing an expected expenditure of a physical activity amount. An expended physical activity amount acquisition means acquires an expended physical activity amount of the user up to a current time in the predetermined period. A total expended physical activity amount acquisition means derives a total expended physical activity amount of the user in the predetermined period, based on the predictive physical activity amount and the expended physical amount. An activity determination means determines a physical activity to the user from among physical activity options by comparing the target physical amount and the total expended physical amount. Accordingly, it is possible for the activity support device to support a user in making a decision regarding the physical activity.


