首页|Auburn University Researcher Reports Research in Machine Learning (The Effect of Sensor Feature Inputs on Joint Angle Prediction across Simple Movements)
Auburn University Researcher Reports Research in Machine Learning (The Effect of Sensor Feature Inputs on Joint Angle Prediction across Simple Movements)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting originating from Aub urn, Alabama, by NewsRx correspondents, research stated, "The use of wearable se nsors, such as inertial measurement units (IMUs), and machine learning for human intent recognition in health-related areas has grown considerably. However, the re is limited research exploring how IMU quantity and placement affect human mov ement intent prediction (HMIP) at the joint level." Financial supporters for this research include United States Army Combat Capabil ities And Development Command. The news editors obtained a quote from the research from Auburn University: "The objective of this study was to analyze various combinations of IMU input signal s to maximize the machine learning prediction accuracy for multiple simple movem ents. We trained a Random Forest algorithm to predict future joint angles across these movements using various sensor features. We hypothesized that joint angle prediction accuracy would increase with the addition of IMUs attached to adjace nt body segments and that non-adjacent IMUs would not increase the prediction ac curacy. The results indicated that the addition of adjacent IMUs to current join t angle inputs did not significantly increase the prediction accuracy (RMSE of 1 .92° vs. 3.32° at the ankle, 8.78° vs. 12.54° at the knee, and 5.48° vs. 9.67° a t the hip). Additionally, including non-adjacent IMUs did not increase the predi ction accuracy (RMSE of 5.35° vs. 5.55° at the ankle, 20.29° vs."
Auburn UniversityAuburnAlabamaUnit ed StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Le arning
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