手勢辨識的技術目前逐漸廣泛應用於AI領域中，尤其穿戴式裝置的研究推動了這一領域的發展。透過穿戴式裝置的方式，來偵測手勢的動作並進行辨識；儘管目前有許多手勢辨識的研究，但鮮少有涉及到五隻手指感測器的研究，由於使用五隻手指來完成智慧手套會遇到各種不同的問題，例如：手套製作系統複雜或是選擇的感測器應用等等問題；因此，本論文將探討以精簡的方式製作具有五隻手指的智慧手套。
本論文使用了兩種主動式彎曲感測器為主體，分別以Bend Lab的Digital Flex Sensor和Sparkfun的Qwiic Flex Glove Controller兩種彎曲感測器來完成五隻手指的智慧手套；利用這兩種彎曲感測器不僅解決了手套感測器數量的問題，同時也降低了手套製作及系統的複雜度問題。最後，則透過神經網路來辨識出手勢的種類，以實現五隻手指的手勢辨識。

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