Wearable Gait Control Using Personalized Robot Parameters
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Solution Overview
Problem
There is a growing need for technologies that assist individuals with reduced muscular strength or joint problems, such as the elderly, in walking with less effort, as aging societies face increased inconvenience and pain due to these issues.
Innovation Solution
An electronic device communicates with a wearable device to determine personalized robot parameters for controlling assistance or resistance forces, using a robot parameter algorithm based on user-specific mobile parameters, and transmits these values to the wearable device for effective gait assistance or workout resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robot parameters are determined using fixed algorithms without personalization, then device complexity is reduced, but adaptability to individual user needs deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting user data (body information, workout history, motion logs) before determining robot parameters. This advance data collection and analysis enables personalized parameter determination without increasing real-time computational complexity, as the heavy processing occurs beforehand during data collection phases.
Solution Approach 2:
The electronic device acts as an intermediary between the wearable device and the user. It receives motion data from the wearable device, processes this data along with stored user information, and determines appropriate robot parameters. This intermediary role centralizes the complex processing tasks, allowing the wearable device to remain relatively simple while achieving personalized control.
2Measurement precision
If robot parameters are determined based on comprehensive user data analysis, then control precision is improved, but processing time increases
Solution Approach 1:
User data including body information, workout history, and motion characteristics are collected and stored in advance. This preliminary data collection allows the system to perform comprehensive analysis without time pressure during actual control operations, as the foundational data is already available when parameters need to be determined.
Solution Approach 2:
The system continuously receives motion log data from the wearable device and uses this feedback to refine and update robot parameters. This ongoing feedback loop allows the system to maintain high accuracy by continuously adapting to user performance while distributing processing over time rather than requiring all analysis to occur at once.
Data Source
AI summary
An electronic device may receive log information regarding a motion of a wearable device from the wearable device, determine a value of at least one of one or more mobile parameters to be applied to a robot parameter algorithm for calculating a value of a robot parameter used to control the wearable device based on the log information, and determine the value of the robot parameter based on the robot parameter algorithm and the determined value of at least one of the mobile parameters.