近年來，隨著健身產業及數位科技快速發展，數位健身器材逐漸受到重視。相較於傳統坐姿划船機以重量塊提供固定阻力，數位健身器材可利用馬達驅動產生可調式阻力，具備控制彈性高及訓練模式多元等優點。因此，本研究以數位坐姿划船機為研究對象，建立一套以阻抗控制為基礎之數位健身訓練平台，並進行扭矩曲線設計。首先建立系統模型，進而提出復位保護、力竭輔助及離心阻力控制策略，以提升操作安全性、疲勞管理能力及訓練個人化。此外，本研究亦建置人機介面，整合訓練參數設定、即時狀態監測、訓練成果分析，具備機械功與卡路里消耗估算等功能。模擬與實驗結果顯示，本研究所提出之復位保護策略可有效降低握把復位時產生的衝擊；力竭輔助策略可依據使用者的向心平均速度計算速度損失率，並於速度損失率超過設定門檻時動態降低訓練阻力；離心阻力策略則可調整向心與離心階段之阻力差異，以滿足多元訓練需求。所建置之人機介面亦能即時呈現並記錄訓練資訊，提供訓練成果分析。綜合上述，本研究所建立之數位健身訓練平台可作為未來智慧健身器材及個人化阻力訓練系統之設計參考。

In recent years, digital fitness equipment has gained increasing attention. Unlike conventional seated row machines using weight stacks, digital systems employ motors to provide adjustable resistance and flexible training modes.This study develops an impedance-control-based digital seated row training platform with three training strategies. The return protection strategy gradually establishes resistance during handle return to reduce impact. The fatigue assistance strategy evaluates velocity loss based on mean concentric velocity and automatically reduces resistance when a predefined threshold is exceeded. The eccentric resistance strategy adjusts the resistance ratio between the concentric and eccentric phases for different training requirements.A human–machine interface is also developed for parameter configuration, real-time monitoring, and data analysis. An observer estimates the user’s applied force for calculating mechanical work, total training volume, and metabolic energy expenditure. Simulation and experimental results verify the effectiveness of the proposed control strategies. Overall, the platform provides adjustable resistance control, training assistance, and performance analysis for intelligent fitness equipment and personalized resistance training systems.

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