應(yīng)用先進(jìn)傳感器與演算法於低成本運(yùn)動(dòng)追蹤

　　高性能的運(yùn)動(dòng)跟蹤技術(shù)已經(jīng)從深?yuàn)W的軍事，航空電子設(shè)備，海洋和工業(yè)應(yīng)用到消費(fèi)應(yīng)用范圍擴(kuò)大。盡管如此，將高性能的運(yùn)動(dòng)跟蹤到消費(fèi)市場(chǎng)，往往迫使設(shè)計(jì)師調(diào)和沖突的目標(biāo)，特別是相對(duì)于成本，功耗和計(jì)算資源。

　　然而，由于MEMS設(shè)計(jì)和制造工藝的進(jìn)步，新一代的慣性測(cè)量單元（IMU）是幫助設(shè)計(jì)人員提供更高的性能水平，用更少的妥協(xié)。

　　本文將概述的設(shè)計(jì)問(wèn)題和權(quán)衡之前引入一個(gè)新的六軸IMU承諾卸載計(jì)算密集型操作從主機(jī)處理器。它也將討論新的計(jì)算分區(qū)策略，幫助設(shè)計(jì)師實(shí)現(xiàn)更高水平的運(yùn)動(dòng)跟蹤精度顯著降低系統(tǒng)的功率電平。最后，新的最優(yōu)估計(jì)算法和開(kāi)發(fā)工具包，將允許開(kāi)發(fā)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.