Deeper Insight Into Personal Running Pattern With The Assist Of Drones Through Artistic Representation

This paper explores the possibility of using drones to create visual feedback to help runners understand their running patterns better. Specifically, this paper presents a study modelled on top of our novel yet technical design and concludes with a functioning lo-fi prototype. Using IMU which was onboarded on Crazyflie, measurement of human motion was done in this study. Following the data collection, motion design was completed employing Laban Motion Analysis before moving on to the final part of the study. In this part, the focus is on utilising drone motions to create artistic representations of runners’ running patterns. Evaluated on Technology Acceptance Model questionnaires collected from 6 runners. The outcome of this study measures the drone’s efficiency and usefulness in helping runners gain insight into their running patterns.