Summary: | 碩士 === 國立臺灣師範大學 === 運動競技學系 === 104 === Introduction:The population engaged in exercise increases annually. One of the main reasons for exercising is for promoting overall health; therefore, the accuracy of measuring physical activity is critical. In recent years, the electronic industry has been booming and wearable technology is getting increasingly mature. The accelerometer has made a big breakthrough in accuracy, volume and convenience and is now a necessity for recording physical activity. Although accelerometers are commonly used in measuring physical activity, the algorithms are quite diverse and not yet standardized. The moving speed is an index of exercise intensity but the correlations between the physical acceleration and moving speed are not yet clear. Purpose: The purpose of this study is to examine: 1) the correlations between the physical acceleration, moving speed and heart rate reserve (HRR%); 2) a better algorithm for estimating physical acceleration at different walking and running speeds. Method: This study recruited 19 healthy males who were asked to wear a heart rate monitor and a tri-axis accelerometer to perform walking and running at different speeds. Each speed was tested for 3 minutes followed by a rest until the participants returned to their standing rest heart rate. A one-minute stable heart rate of each trial was gathered for data analysis. After being processed with different algorithms the acceleration values were analyzed with moving speeds and HRR% respectively. The Pearson product-moment correlation coefficient was used to examine the relationships between walking, running, the entire walking-running period, physical acceleration, moving speeds and HRR%. Result: In the walking, running, and the entire walking-running period, the peak values of resultant acceleration and the MAD values of anterior-posterior acceleration showed significant correlations with moving speeds (r=.829**、.514**、.836**; r=.833**、.637**、.780**) and HRR% (r=.771**、.517**、.856**; r= .837**、.651**、.787**). Conclusion: It is feasible to estimate the exercise intensity for walking, running and the entire walking-running period with the peak values of resultant acceleration and the MAD values of anterior-posterior acceleration. The results can be used as a foundation for the future application in measuring physical activity.
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