Adaptive Exoskeleton Controller Using Real-Time Sensor Feedback
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Solution Overview
Problem
Current exoskeleton devices for gait rehabilitation lack personalized control strategies and fail to actively engage users, leading to insufficient improvements in gait function and mobility for individuals with neurological disorders.
Innovation Solution
An exoskeleton device with embedded sensors and actuators that adjust assistance or resistance levels based on real-time performance metrics, such as joint angles and pressure/force measurements, to provide tailored support and feedback for improved gait rehabilitation, allowing for dynamic adaptation and remote monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If exoskeleton devices provide fixed assistance levels, then device complexity is reduced, but adaptability to individual user needs deteriorates
Solution Approach 1:
The system continuously monitors user performance metrics through embedded sensors and uses this feedback to dynamically adjust assistance levels. The controller receives real-time data from sensors measuring joint angles, forces, and movement patterns, then modulates actuator output accordingly to optimize rehabilitation effectiveness for each user's current capabilities
Solution Approach 2:
The exoskeleton transitions from static fixed assistance levels to dynamic adaptive assistance that changes in real-time based on user performance. The system continuously modifies actuator commands throughout the gait cycle and across multiple gait cycles, allowing assistance levels to evolve as users improve their rehabilitation outcomes
2Productivity
If exoskeleton devices use simple control strategies, then ease of operation is improved, but rehabilitation effectiveness deteriorates
Solution Approach 1:
The system automatically adapts assistance levels based on user performance without requiring manual intervention or complex user input. The embedded sensors and controller work autonomously to monitor gait parameters and adjust actuator output, eliminating the need for therapists to manually reconfigure device settings during rehabilitation sessions
3Productivity
If exoskeleton devices provide continuous assistance, then user engagement decreases, but gait function improvement deteriorates
Solution Approach 1:
The system provides precisely the right amount of assistance needed at each moment rather than continuous maximum assistance. By using sensors to detect user capability and providing only partial assistance when users can perform tasks independently, the system promotes active user engagement while still achieving gait function improvement through targeted support
Data Source
AI summary
An exoskeleton device is provided herein that includes a control unit including a controller. At least one embedded sensor is configured to acquire data. An actuator is in electrical communication with the at least one embedded sensor and the controller. The controller is configured to adjust a level of assistance or resistance provided by the actuator in response to a change in a performance metric as measured by the acquired data.