We’ll be presenting a concept for a wearable to assist in the wide-scale monitoring of citizen activity to improve smart city analytics. The pressure sensor is a polymeric foil encased with aluminum foil that provides stable readings of applied pressure. With only two detection regions: heel and toe, we assess the classification performance using a real-time implementation of a trained machine-learning model. We collect training data on two categories: pedestrian movement and sports activities. We achieve an accuracy of 76%.
