Vertical jump height prediction using EMG characteristics and neural networks

The purpose of this study was to investigate the Artificial Neural Networks (ANNs) in conjunction with EMG characteristics to predict vertical jump height. This paper investigates three key areas for the development of a real-time biomechanical biofeedback system. The first area of investigation is the EMG data processing and characteristics that best suit the training of ANNs for prediction. The second area of interest is the best ANN topology. Finally, which ANN topology would best predict muscle coordination for biofeedback to the coach or athlete.