人體姿態辨識是遊戲業、運動器材業、醫療復健、、等等產業的重要關鍵技術，隨著無線感測技術的進步，姿態辨識技術逐漸從有線的系統進入無線的系統，為了提升無線姿態辨識系統的實用性，本論文運用角度感應器以及加速度感應器開發無線姿態辨識系統，同時發展演算法，強化自動化的辨識能力。
演算法經人體動作比對驗證後，能精確計算出人體姿態的位置、移動速度與加速度等數據，讓系統具備自身運算的能力，此外，無線姿態辨識系統的微型化設計方法也促進系統的可攜性與便利性，增進整體系統的實用價值。

esture recognition is a critical technology used in many industries such as gaming, sports equipment, and medical rehabilitation. Advancements in wireless sensor technologies has gradually transformed gesture recognition into a wireless technology as well. In order to improve the scope of application for wireless gesture recognition systems, this paper has applied angle sensors and accelerometers to create a wireless gesture recognition system and developed the required algorithms to improve automated recognition capabilities.
The algorithms were subject to comparative verification and were shown to be able to precisely calculate the location, movement speed, and acceleration of human body gestures, giving the gesture recognition system independent calculation abilities. Additionally, the miniaturized designs of the wireless gesture recognition system would also promote system portability and convenience, enhancing the practical value of the entire system.

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