We are pleased to announce that our demo paper "Low-Cost Sensor-based Error Detection System for Coffee Preparation: A Demonstration." has been accepted for the PerCom conference! We will showcases a system that leverages Computational State Space Models (CSSM) to detect and correct user errors during a coffee cooking procedure. The system is designed to assist elderly individuals with the daily living task of coffee preparation, thereby enhancing their independence and quality of life. The key benefits of our architecture include its low-cost anonymous sensors, small activity recognition and error detection model, and no need for training data, making it a viable solution for widespread adoption.
