A preliminary study was performed to determine the potential of an image analysis methodology to detect breathing parameters using a smart mouthguard. The smart mouthguard would be enabled with a light-emitting diode (LED) to transfer information regarding relevant breathing frequencies. The detection accuracies of Viola-Jones based algorithms were determined using a video stream of a virtual LED enabled mouthguard. A good accuracy for the detection of the LED enabled mouthguard was found and the simulated breathing frequency was correctly predicted using the proposed algorithm. The potential to measure breathing parameters using the presented smart mouthguard methodology might lead to new ways of injury prevention and performance management.
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