近年來消費型電子產品，如智慧型手機、平板電腦等行動裝置均配備有各類型感測元件，消
費者可以透過行動裝置在室內得到即時、正確且多樣性的導航定位服務。然而，若以行動裝置作
為定位系統之裝置，使用者將會有各種不同之手持或擺放該行動裝置之姿態，在不同姿態下，感
測元件所偵測之步態訊號也將有所不同。再者，步伐長度將因每個人之基本體態而有著不同之行
走步長，如：身高、體重、年齡、步頻及行走速率等。根據上述所提及之問題，本論文提出一具
多姿態步距校正之室內定位系統，包含多姿態辨識與動態步距回歸模型調整演算法。最後經由實
驗結果成功地驗證本論文所提出方法之有效性。

The recent mobile devices are equipped with various types of sensing elements. User can obtain real-time and accurate indoor positioning and navigation services depend on the capability of the smart mobile devices with the equipped sensing elemen ts. However, when using smart mobile device for positioning, a user may hold or place the mobile device in various postures, which will affect the signals measured by the IMUs. The algorithm to estimate the stride length allows stride lengths of the user i n a stable walking state to vary according to height, weight, age, frequency, speed, and so on. The stride length affects the precision of indoor positioning. This paper proposed a multi-posture stride length calibration for indoor positioning system, including multi-posture recognition and dynamic stride regression algorithm. Finally, the experimental results have validated the effectiveness of the proposed method.