踩踏功率是自行車運動中一項重要的指標，透過量測功率可以獲得最即時的運動表現與強度，長時間的監控及分析功率資料，可以做為調整訓練課表與評估表現的依據，為自行車訓練不可或缺之工具，隨著量測硬體技術的進步，也讓研究者有機會發展新的指標，如：踩踏效率，透過解析不同部位、踩踏過程所獲得的功率，可以獲得踩踏效率的資訊，進一步的應用在踩踏策略的選擇，提升運動表現，然而踩踏效率與策略等新指標對於各種使用者之意義與影響，尚待未來的研究進一步地釐清，由於感測科技的進步，未來功率計的發展會更多樣化，可以量測的資訊會越來越多，看似會越來越複雜，但是透過大數據分析、人工智慧技術的協助以及研究者的努力，可以整合簡化為對使用者有用的資訊，亦會發展出新的量測指標或更有效率的訓練系統。

Pedaling power is one of the most important indexes in cycling. Just by measuring it, one can obtain the instant performance and the intensity of racing or training. When you keep monitoring and analyzing the power data for quite a period of time, you will find it to be an indispensable tool for cycling training in adjusting training plans and evaluating racing performance. The improvement of measurement technology allowed researchers to develop new indexes, e.g., pedaling efficiency. The pedaling efficiency can be obtained by analyzing the power measured from different parts of the bike and pedaling phases, and can be further applied to determine the most suitable pedaling strategies for performance improvements. However, the meaning and effect of the pedaling efficiency and pedaling strategies on different users need further research to clarify. With the advancement of sensor technology, the development of power meter will be expected to be more diversified in the future. It appears that more data (indexes) measured would add complexity; but by the help of big data analytics and Artificial Intelligence (AI), those data could become useful information for the cyclists and the foundation for new indexes and effective training systems.