Fatigue-Based Bath Duration Calculation for Life Management
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Solution Overview
Problem
Existing methods for controlling indoor temperature and managing fatigue do not consider the individual's fatigue degree when determining sleeping hours or recovery actions, leading to inadequate rest duration recommendations.
Innovation Solution
A life management apparatus that includes a fatigue degree input unit, a recommended duration calculation unit, and a recommended duration informing unit to calculate and inform users of suitable recovery action durations based on their pre-action fatigue degree, specifically recommending bath or sleep durations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If indoor temperature is controlled based on sleeping cycle without considering fatigue degree, then temperature control is simple, but the duration of sleeping hours is not appropriate for the user's actual fatigue level
Solution Approach 1:
The system performs preliminary measurement of fatigue degree before determining sleeping duration. By measuring fatigue indicators (such as blood flow, temperature, or other physiological parameters) in advance, the system can calculate appropriate sleeping duration based on the measured fatigue level, rather than using fixed duration or simple cycle-based control.
Solution Approach 2:
The system implements feedback by continuously monitoring fatigue degree and adjusting sleeping duration accordingly. The fatigue measurement results are fed back into the control algorithm to dynamically adjust the recommended sleeping duration, creating a closed-loop system that adapts to the user's actual physiological state.
2Duration of action of moving object
If fatigue degree measurement and analysis is added to determine sleeping duration, then sleeping duration becomes appropriate for fatigue level, but the system complexity increases
Solution Approach 1:
The system uses the user's own physiological parameters (such as blood flow, temperature, or other easily measurable indicators) to assess fatigue degree. This self-service approach eliminates the need for complex external measurement devices or invasive procedures, as the system leverages naturally occurring physiological signals that can be measured with simple sensors.
Solution Approach 2:
The system monitors changes in physiological parameters (such as blood flow velocity, skin temperature, or other measurable indicators) to infer fatigue degree. By tracking parameter changes over time rather than requiring absolute precision measurements, the system can determine fatigue level using relatively simple sensing technology.
3Ease of manufacture
If existing fatigue control methods are used without considering recovery actions, then control implementation is straightforward, but recovery from fatigue is not adequately addressed
Solution Approach 1:
The system determines appropriate sleeping duration in advance based on measured fatigue degree before the user actually sleeps. By calculating the recommended duration beforehand and providing this information to the user, the system ensures that the user knows how long they should sleep to effectively recover from fatigue, rather than relying on fixed schedules or post-sleep assessment only.
Data Source
AI summary
A fatigue degree input unit inputs a fatigue degree of a user through use of a processing device, and writes an input value of the fatigue degree into a storage device. A recommended duration calculation unit reads the input value of the fatigue degree written by the fatigue degree input unit from the storage device. In accordance with the input value of the fatigue degree read from the storage device, the recommended duration calculation unit calculates a bath duration to be recommended to the user, as a recommended duration, through use of the processing device. A recommended duration informing unit informs the user of the recommended duration calculated by the recommended duration calculation unit, through an output device.