The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform. This system can be used in different environments such as health assistance, fitness and home entertainment. An ad-hoc sosftware has been developed for data exchange and management.
The system integrates an elastomeric sensor array. Differently from the technologies actually used in this kind of devices (accelerometers/myoelectric sensors), it is able to detect fine and localized deformation of the wrist caused by wrist or finger movements, enabling, with the support of a machine learning algorithm, higher accuracy and gesture numbers recognition.