本研究開發出一對被動式髖關節外骨骼，模擬驗證穿戴者受負載及空載的運動及動力測量，以及模擬人體動作之肌肉與關節的負荷，以及探討外骨骼裝置降低的肌力及脊椎彎矩。結果顯示，隨著負重增加，訊號震幅越大，而同樣負重下，穿戴外骨骼能夠減少訊號震幅，其中以胸椎在負重10kg之上時可降低23.07%負擔。

This research develops a pair of passive hip exoskeleton to simulate and verify the movement and dynamic measurement of the wearer under load and no-load, as well as to simulate the load of the muscles and joints of the human body, and to explore the reduction of muscle strength and spine bending moment by the exoskeleton device. The results show that as the load increases, the signal amplitude increases, and under the same weight, wearing an exoskeleton can reduce the signal amplitude. Among them, the thoracic spine can reduce the burden by 23.07% when the weight is 10 kg or more.