Poster abstract: Biometric gait identification for exercise reward system using smart earring

Wearable systems are commonly used for tness purpose as these devices provide activity measurements to motivate daily exercise. With aims to promote improved health, healthcare companies are incentivizing their customers with the amount of exercise that is performed and using readings from wearable devices as a way of proving that the individual met the requirements. However, these devices have a risk of user spoong attacks as an unauthorized individual can utilize the system. To prevent misuse of the product to gain reward and ultimately promote daily exercise for various types of exercise reward systems, we propose a biometric gait identication approach using a smart earring that we design and develop. In this paper, we preliminary train and test the gait identication system by utilizing a transfer learning, which shows a 100% classi-cation performance for eight participants. We expect the proposed gait identication technique will serve as essential building blocks for reliable exercise reward systems.