Thalmic Labs: EMG Pattern Recognition

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The proposed research will focus on the development of signal processing and pattern recognition algorithms capable of processing mulitple channels of surface-detected EMG (sEMG) signals to extract information related to the execution of dynamic hand and arm gestures. The output of the developed algorithms are intended to be used to control various computer software appliactions. The sEMG signals are to be acquired using an existing band of 8 electrodes applied to the forearm and a dedicated data acquisition system. The sEMG signals will be processed to extract features related to various gestures or hand or arm movements. These features will be input to a series of pattern recognition algorithms devloped to determine which gesture is currently being executed. The devloped algorithms will be an integral part of an overall hardware and software device being designed and developed to allow effortless and wireless interaction to computer software applications. The ultimate goal is to create a novel interface device for machines such as computers, mobile devices, or robotics, thereby creating a new method of user input based on natural gestures and movements in free-space.