Fatigue is a condition where the muscle fails to produce a required amount of force for a brief period of time. Analysis of fatigue is crucial in myoelectric prosthetic control, rehabilitation and various neuromuscular disorders. Surface Electromyography (sEMG) is the noninvasive technique widely used for assessment of muscle fatigue. The sEMG signals are the superposition of electrical activities recorded from the individual motor units during muscular contractions. The global parameters from the sEMG signal namely, amplitude and frequency vary throughout the endurance time. Though the complexities in sEMG signals are being characterized by various nonstationary and nonlinear methods, clinical transformation of muscle fatigue analysis using this signal still remains challenging. Applying geometry to the signal processing techniques has been extensively studied in various physiological signals for emphasizing the underlying dynamics. Geometric analysis enables to extract and estimate the characteristics of the signal shape. The aim of this research proposal is to record sEMG signals in isometric contractions and perform shape analysis using geometric features. In this seminar, the signal acquisition protocol, muscle fatigue assessment using shape analysis on the recorded signals and key preliminary results are discussed.