Exercise Suggestion Control for Wearable Walking Assistance
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Solution Overview
Problem
Aging populations face challenges with reduced muscular strength and joint problems, necessitating effective walking assist devices for elderly users or patients with reduced mobility.
Innovation Solution
A wearable device that provides assistance or resistance forces to enhance walking and exercise capabilities, integrated with an electronic device for personalized exercise suggestions based on user history and device state, using sensors to measure physical ability and provide feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If exercise suggestions are provided based on user history and device state, then exercise effectiveness is improved, but device complexity increases
Solution Approach 1:
The system segments the exercise management function into two parts: the wearable device collects basic exercise data and state information, while the electronic device (server or smartphone) performs the complex analysis of exercise history and generates personalized suggestions. This segmentation allows the wearable device to remain simple while still providing effective exercise guidance through the connected electronic device.
Solution Approach 2:
The electronic device acts as an intermediary between the wearable device and the user. It receives exercise data from the wearable device, processes the information by analyzing exercise history and current state, and then provides personalized exercise suggestions back to the user. This intermediary handles the complex processing tasks, keeping the wearable device itself relatively simple.
2Adaptability or versatility
If personalized exercise suggestions are generated using exercise history and device state, then exercise customization is improved, but information processing requirements increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing exercise history data and device state information in advance. When the user needs exercise suggestions, the system already has accumulated data about exercise patterns, performance levels, and current device status, enabling rapid generation of personalized recommendations without requiring intensive real-time processing of all historical data.
3Ease of operation
If the wearable device provides assistance forces for walking, then walking ability is improved, but energy consumption increases
Solution Approach 1:
The assistance force provided by the wearable device is dynamic rather than static. The device adjusts the magnitude and timing of assistance forces based on real-time detection of user gait patterns, walking speed, and physical state. This dynamic adjustment ensures that assistance is provided only when and where needed, optimizing the balance between improving walking ability and managing energy consumption.
Solution Approach 2:
The system implements feedback control where sensors continuously monitor the user's walking state, gait abnormalities, and device performance. This feedback information is used to adjust the assistance force in real-time, ensuring that the device provides optimal support while avoiding excessive energy consumption. The feedback loop allows the system to adapt to changing user needs and environmental conditions.
Data Source
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AI summary
According to an embodiment, a message output method may comprise the operations of: on the basis of an exercise history of a user of an electronic device, determining whether an exercise suggestion is required for the user; if it is determined that an exercise suggestion is required, determining a first state corresponding to the state of the user; if it is determined that an exercise suggestion is required, determining a second state corresponding to the state of a wearable device connected to the electronic device; on the basis of the first state and the second state, determining whether the user is in a state in which it is possible to exercise using the wearable device; if the user is in a state in which it is possible to exercise using the wearable device, generating a message for an exercise to be suggested to the user, on the basis of at least one of the exercise history, the first state, and the second state; and outputting the message.