Dual Air – Results and observations Distriktsforsk project on the feasibility of automatic detection of right and wrong use of the Dual Air hairdryer

Abstract

This report summarizes a proof-of-concept study of the feasibility of developing a smart Dual Air blow-dryer that automatically provides feedback on its use. We successfully demonstrated feasibility by automatically identifying the right and wrong use of Dual Air by using machine learning on data from IMU sensors mounted on the blow-dryer. Video pose estimation from the study also documented that the Dual Air hairdryer allows hairdressers to perform similar blow-drying operations with a significantly lower arm elevation angle than with conventional hair dryers. A data collection protocol with hairdressers, a comprehensive dataset, and a framework for analysis and further testing and model development was built to serve as a starting point for a more robust product ready usage-prediction tool ISBN: 978-82-14-07737-7