Autonomous Companion Guidance for Adaptive Physical Activity Pacing
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Solution Overview
Problem
Individuals face challenges in achieving physical activity goals due to lack of precise control and adaptability in dynamic environments, leading to frustration and abandonment of goals.
Innovation Solution
An autonomous physical activity assistance system comprising a body condition monitoring unit and an autonomous companion unit equipped with sensors and a controller, which adjusts movement plans in real-time based on surroundings and user data to guide users effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a person performs physical activity with a defined goal, then the purpose of the activity is achieved, but the person may not know how to precisely control themselves to perform the physical activity according to the defined goal
Solution Approach 1:
The system continuously monitors the user's body condition data (heart rate, speed, distance) and provides real-time feedback through the autonomous companion unit. The controller compares actual performance with the predefined goal and guides the user to adjust their effort, enabling precise control without requiring the user to manually monitor and adjust all parameters themselves.
Solution Approach 2:
The system automatically tracks and monitors the user's physical activity parameters without requiring manual intervention. The autonomous companion unit independently collects body condition data, calculates performance metrics, and provides guidance, allowing the user to focus on exercising while the system handles the precise measurement and control guidance.
2Reliability
If the person continues to perform physical activity to achieve the goal, then the goal may be achieved, but the person may give up before achieving the defined goal due to physical hardships or that the goal is unreasonable
Solution Approach 1:
The system dynamically adjusts the guidance based on real-time body condition data. The autonomous companion unit modifies pace recommendations, distance targets, or intensity levels according to the user's actual physical state, ensuring the goal remains challenging but achievable. This dynamic adaptation prevents users from giving up due to unrealistic expectations or unexpected physical hardships.
Solution Approach 2:
The system provides continuous feedback on progress toward the goal, breaking down the overall objective into manageable segments. The autonomous companion unit communicates achievement milestones and adjusts the remaining target based on actual performance, maintaining user motivation and reliability of goal achievement even when physical conditions change.
3Adaptability or versatility
If the person performs physical activity with a fixed plan, then the initial goal is clear, but the surrounding environment and the person's physical conditions may change, making it impossible to achieve the goal
Solution Approach 1:
The system incorporates multiple sensors to detect environmental changes (location, weather conditions) and body condition changes in real-time. The autonomous companion unit processes this feedback data and automatically adjusts the movement plan, route, or intensity targets, enabling adaptability to changing conditions without requiring complex manual re-planning by the user.
Solution Approach 2:
The autonomous companion unit acts as an intermediary between the fixed initial goal and the changing real-world conditions. It translates the original goal into dynamically adjusted sub-goals and guidance instructions, mediating between the user's intent and environmental realities while maintaining system simplicity for the end user.
Data Source
AI summary
The present disclosure relates to systems and methods for automatically assisting physical activities. The system may include a body condition monitoring unit, and an autonomous companion unit. The body condition monitoring unit may obtain body condition data of a user. The autonomous companion unit may be automatically move alongside the user and guide the user. The autonomous companion unit may include a transporting subunit, a plurality of sensors, and a controller subunit. The transporting subunit may be enable the movement of the autonomous companion unit. The plurality of sensors may obtain surroundings data associated with the autonomous companion unit. The controller subunit may control the transporting subunit to move the autonomous companion unit according to a target movement plan. The target movement plan may include a target route and a target speed profile, which are based on a preliminary movement plan, the surroundings data, and the body condition data.