Exercise Bike Resistance Control via Perceived Exertion Feedback
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Solution Overview
Problem
Conventional stationary bikes fail to determine the optimal resistance level for users, leading to ineffective workouts and potential injuries, as normal users or inexperienced users struggle to set proper resistance, and the bikes cannot instantly adjust resistance based on physiological changes or rate of perceived exertion.
Innovation Solution
An exercise bike equipped with a pedaling mechanism, resistance unit, physiological measurement unit, and processing unit that adjusts resistance levels during a test mode to determine a recommended resistance based on user physiological characteristics and rate of perceived exertion, providing a personalized resistance setting for sport mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user manually adjusts the resistance level, then the user can control the pedaling intensity, but the user may set improper resistance leading to ineffective workouts or injuries
Solution Approach 1:
The system continuously monitors the user's physiological data (heart rate, cadence, power output) and uses this feedback to automatically adjust resistance levels. The control unit compares real-time physiological measurements against target zones and dynamically modifies resistance to keep the user within the optimal exercise intensity range, eliminating the need for manual adjustment while ensuring safety and effectiveness.
Solution Approach 2:
The exercise bike system performs self-adjustment of resistance levels based on its own monitoring of the user's physiological state. The control unit autonomously determines appropriate resistance changes without requiring user intervention, allowing the system to serve itself in optimizing workout parameters based on real-time performance data.
2Device complexity
If the resistance level is fixed, then the device structure is simple, but the bike cannot adjust resistance according to user's physiological changes
Solution Approach 1:
The resistance level transitions from a static, fixed setting to a dynamic parameter that continuously adapts based on real-time physiological measurements. The control unit modifies resistance levels during exercise sessions according to changes in heart rate, cadence, and power output, allowing the system to respond dynamically to the user's evolving physiological state rather than maintaining a predetermined fixed resistance.
Solution Approach 2:
The system changes the resistance parameter dynamically based on measured physiological parameters. The control unit adjusts the resistance level by modifying electrical signals to the resistance mechanism, thereby changing the mechanical resistance in response to variations in heart rate, cadence, and power output to maintain optimal exercise intensity.
3Reliability
If the bike automatically adjusts resistance based on physiological data, then workout effectiveness is optimized, but the device complexity increases
Solution Approach 1:
The control unit serves multiple functions: it processes physiological data from various sensors, calculates exercise intensity metrics, determines appropriate resistance adjustments, and controls the resistance mechanism. By consolidating these diverse functions into a single multi-functional control unit, the system achieves sophisticated automatic resistance adjustment without proportionally increasing overall system complexity.
Data Source
AI summary
An exercise bike and an operation method thereof are provided. In a test mode, a processing unit adjusts a resistance of a pedaling activity to be a plurality of pedaling resistances and obtains a plurality of psychological values respectively corresponding to the pedaling resistances by inquiring the user about a rate of perceived exertion. The processing unit calculates the psychological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances and further obtain a correspondence relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a recommended pedaling resistance according to the correspondence relationship. In a sport mode, the recommended pedaling resistance is provided to the user for performing the pedaling activity. The exercise bike determines the recommended pedaling resistance according to the user's physiological characteristics and/or a rate of perceived exertion regarding a physical activity.