The project RoSe (“Robust Individualization of Smart Sensor Technology through Transfer Learning Based Feature Selection”) is part of the Dataninja research training group and deals with the optimization of biosensor hardware and software. The hardware should be designed in such a way that the sensor is usable by many people, while it is customized for each user on the software side. Two example scenarios are considered: a novel shoe insole and a myoelectric arm orthosis.