Development of Application for Fatigue and Asymmetry Feedback During Flywheel Training : Evaluating Usability and Feasibility of Synchronized Sensor Data

Abstract: Using technology to evaluate performance is a field that previously has been limited to laboratories and high budgets. Today, the evolving of sensor technology and "internet of things" can help us provide more accessible, affordable and perhaps even more reliable feedback about performance. Still, developing such systems is not trivial and often require advanced processing methods to ensure reliability of the feedback. One such process is synchronizing data from multiple sensors.  If the sensors time is asynchronous, the presented feedback could be erroneous and give the wrong information. However, if the data is synchronized correctly it could possibly provide new insights about performance during training and rehabilitation. During this thesis a web application has been developed and used to collect data from multiple sensors during flywheel training. The data has been processed, synchronized and displayed as feedback in a user interface.The user interface displayed fatigue and bilateral asymmetry feedback from a training protocol of 15 squats at maximum intensity. 16 participants with varying background have used the interface, and evaluated it using a well known usability test. The synchronized data correlates as expected during training, but its accuracy has not yet been evaluated.The usability test resulted in an average usability score of 75, well above the tests' defined limits for "good" usability.Being able to obtain such feedback during rehabilitation in particular is deemed valuable and could be very useful in determining athletes readiness more consistently. This type of feedback is previously not available outside of a laboratory environment, but would need further development and research before it can be used and validated. It could possibly help reduce the massive spending on healthcare, and increase the longevity of athletes careers.