摘要
由一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于人工智能的最新研究结果已经发表。根据NewsRx记者来自阿拉巴马州Aub Urn的新闻报道，研究表明，"可穿戴传感器的使用，如惯性测量单元(IMUs)，以及机器学习在健康相关领域用于人类意图识别的应用有了相当大的增长。然而，研究IMU数量和位置如何在联合层面影响人类意图预测(HMIP)的研究是有限的。"这项研究的财政支持者包括美国陆军作战能力和发展司令部。新闻编辑们从奥本大学的研究中获得了一句话:“本研究的目的是分析IMU输入信号的各种组合,以最大限度地提高机器学习对多个简单运动的预测精度。我们训练了一种随机森林算法,利用各种传感器特征预测这些运动中的未来关节角度。我们假设关节角度预测精度将随着增加而提高。”结果表明，在当前连接T角输入中添加相邻IMU不能显著提高预测精度（踝关节1.92°对3.32°，膝关节8.78°对12.54°，髋关节5.48°对9.67°）。包括非相邻IMUs并不能提高预测准确性（踝关节的RMSE为5.35°vs. 5.55°，踝关节的RMSE为20.29°vs.
Abstract
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."
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