Huang, HuaiqiEnz, ChristianGrambone, MartinJustiz, JörnLi, TaoÜnsal, OzanKoch, Volker2015-11-062015-11-062015-11-06201410.1109/BioCAS.2014.6981798https://infoscience.epfl.ch/handle/20.500.14299/120458Current myoelectrically controlled hand prostheses normally lack tactile feedback, thus limiting their functionalities and user acceptance. We propose a non-invasive tactile sensory feedback system, consisting miniaturized sensors, wireless communication module and vibrotactile actuators, aiming at providing a natural sense of touch to amputees. We model the tactile feedback chain from tactile sensors to actuators. This model includes a 2D hand model, a sensor data fusion model, and a phantom map model. We implemented the sensor data fusion model by different techniques and compared their performance.Sensory feedbackData fusionMyoelectric prosthesisData fusion for a hand prosthesis tactile feedback systemtext::conference output::conference proceedings::conference paper