Integration of multimodal technologies for a rowing platform

This paper presents the integration of multimodal technologies to measure and transmit different variables and stimuli involved in the human motion analysis, both for the training and for the transfer of users skills achieved by means of a mechatronic rowing platform. Although the mechanical design is the core of this project, this paper describes the integration and interaction of two multimodal systems (the human being and the rowing platform). These systems works together using different sensors and methodologies directly integrated to the human body to obtain detailed information related to the synchronization and correlation among the trajectories, proximal distance coupling, velocities, muscular activation and muscular force, transversal force in the oars and head position acquired through digital image processing and machine learning techniques. This information is evaluated and used in the rendering section through audio-tactile stimuli for the acceleration learning process.