應用先進傳感器與演算法於低成本運動追蹤

　　高性能的運動跟蹤技術已經從深奧的軍事，航空電子設備，海洋和工業應用到消費應用范圍擴大。盡管如此，將高性能的運動跟蹤到消費市場，往往迫使設計師調和沖突的目標，特別是相對于成本，功耗和計算資源。

　　然而，由于MEMS設計和制造工藝的進步，新一代的慣性測量單元（IMU）是幫助設計人員提供更高的性能水平，用更少的妥協。

　　本文將概述的設計問題和權衡之前引入一個新的六軸IMU承諾卸載計算密集型操作從主機處理器。它也將討論新的計算分區策略，幫助設計師實現更高水平的運動跟蹤精度顯著降低系統的功率電平。最后，新的最優估計算法和開發工具包，將允許開發人員建立更高效的傳感器融合解決方案將被討論。

　　The sensor performance tradeoffs

　　As is typical， consumer devices must be optimized for low cost. Traditionally， designers of consumer systems using MEMS motion sensing have opted to stream accelerometer and gyroscope samples from the IMU to the applications processor （AP） or sensor hub controller， before performing further processing on the data.

　　However， precision motion tracking requires significant computational resources to perform sensor fusion with currently available 6 and 9-axis IMUs. In these applications， designers must support sampling rates of at least several hundred hertz or more. Designers have struggled to deliver that high level of performance at low cost， without overloading the system processor and undermining the user experience.