INVESTIGATING THE USE OF EMG BIOFEEDBACK ON EXERCISE SELECTION AND MUSCLE ACTIVATION FOR MOBILE STRENGTH TRAINING APPLICATION

Jensen, Nicolai Bo Kliver ; Toader, Laurentiu-Octavian

4. term

Medialogy, Master

2017

2017-06-07

51 pages

This paper examines the effects of an electromyography (EMG) biofeedback on a strength training application and its potential to improve individualisation and exercise selection, using the measure of muscle activity. To examine this, an application was built and tested using a pre-and post-test, randomised single-blind design over a duration of four weeks. The bicep short head muscle was the focus point for this study, therefore, a variety of biceps curl was chosen as the exercise to execute. The participants were divided into two groups: the EMG group performed individual selected exercises based on their EMG feedback and the control group had to execute all exercises. The overall volume of this study was normalised. The objective of this study was to provide a new approach for predicting the optimal individual strength training exercises for the bicep, using a EMG driven application. The results of the study did not provide any statistically significant improvements using biofeedback versus no feedback. However, the EMG group showed a slight increased improvement compared to the Control group. The lack of statistically significant results, other observations and indications were discussed.

Human-Computer Interaction ; Electromyography ; Biofeedback ; Sensors ; Signal processing ; Strength training

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