Physical activity measurement using novel sensor technologies in unique environments

摘要: This thesis presents methods of estimating the physical activity, and energy expenditure during various activities in three unique environments using a low cost sensor platform, GT3X ActiGraph accelerometer. The this study included; simulated real world horse riding, search rescue operations, ultra-endurance cycle racing. GT3X ActiGraphs were deployed each environment to measure associated specific activities. Where possible other validated estimation sensors parallel with ActiGraphs. However, due nature duration deployment environments, was not always possible. In these cases assumptions made based on subject anthropometrics intensity motions observed order better estimate expended. Specific events defined for demands further investigated These differences between outdoor riding at similar rates; sleeping activity sleep indices operators; an analysis expended cycling rest periods race proprietary researcher developed algorithms. However, data presented from propitiatory software may be capable certain as external factors first need filtered out. calls combined physiological computer science approach taken research sensors.