Exercise Assistance Robot Setup for Faster Muscle Strength Measurement
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Solution Overview
Problem
Existing isokinetic exercise assessment equipment requires manual adjustment and significant physical effort for each user, lacks memory of previous settings, and is inefficient for repeated measurements, limiting its widespread use in muscle strength assessment.
Innovation Solution
An exercise assistance robot that automatically sets position, shape, and movement path based on user-specific muscle group and body information, enabling automated muscle strength measurement with isometric exercises and storing customized settings for each user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment and fixed positioning of measurement equipment is used, then measurement accuracy can be ensured, but the time and physical effort required for each measurement increases significantly
Solution Approach 1:
The system automatically determines the user's body measurements and joint positions using sensors and image processing, eliminating the need for manual measurement and positioning by medical staff. The equipment self-adjusts based on automatically captured body data.
Solution Approach 2:
Manual mechanical adjustment of equipment positioning is replaced with automated sensor-based detection and computer-controlled positioning systems that automatically determine optimal measurement positions based on user body characteristics.
2Measurement precision
If manual adjustment and fixed positioning of measurement equipment is used, then measurement accuracy can be ensured, but the physical effort required for each measurement increases significantly
Solution Approach 1:
The system automatically determines the user's body measurements and joint positions using sensors and image processing, eliminating the need for manual measurement and positioning by medical staff. The equipment self-adjusts based on automatically captured body data.
Solution Approach 2:
Manual mechanical adjustment of equipment positioning is replaced with automated sensor-based detection and computer-controlled positioning systems that automatically determine optimal measurement positions based on user body characteristics.
3Device complexity
If hardware settings cannot be remembered between measurements, then equipment simplicity is maintained, but repeated measurements require repeating the entire setup process
Solution Approach 1:
The system stores user body measurement data and measurement settings in a database, automatically retrieving and applying previously stored information for subsequent measurements, eliminating the need to repeat setup procedures while maintaining system simplicity.
Solution Approach 2:
User body measurements and equipment settings are captured and stored in advance, so that when the same user returns for repeated measurements, the system automatically applies the pre-stored settings without requiring re-measurement or reconfiguration.
4Adaptability or versatility
If accessory modules are manually replaced for different joint measurements, then measurement versatility is achieved, but the time and physical effort for module replacement increases
Solution Approach 1:
A single integrated measurement system with adjustable components can measure multiple joint types (shoulder, elbow, wrist, hip, knee, ankle) by programmatically changing measurement parameters and positioning, eliminating the need for separate heavy accessory modules for each joint.
Solution Approach 2:
The measurement system dynamically adapts its configuration and parameters based on the target joint being measured, allowing one piece of equipment to perform multiple measurement functions through software control rather than physical module changes.
5Adaptability or versatility
If accessory modules are manually replaced for different joint measurements, then measurement versatility is achieved, but the physical effort for module replacement increases
Solution Approach 1:
A single integrated measurement system with adjustable components can measure multiple joint types (shoulder, elbow, wrist, hip, knee, ankle) by programmatically changing measurement parameters and positioning, eliminating the need for separate heavy accessory modules for each joint.
Data Source
AI summary
Disclosed is a method, apparatus, and program for measuring muscle strength by controlling an exercise assistance robot with customized settings for each user to measure the user's muscle strength, and may include receiving input information including muscle group information of a muscle strength measurement target of a user and body information of the user; setting automatically a position and shape of the exercise assistance robot for muscle strength measurement based on the muscle group information and the body information; setting automatically a movement path of the muscle strength measurement target based on the body information of the user; measuring the muscle strength for the muscle strength measurement target by controlling the exercise assistance robot based on the movement path of the muscle strength measurement target; and generating muscle strength measurement result information for the muscle strength measurement target.


