Hand sign recognition (HSR) has emerged as a significant field of research and development in the context of wearable systems and human machine interaction. The aim of this research is to investigate the potential of forearm-attached sensors to recognize hand signs and to propose a novel measurement approach for real-time HSR with reduced ambiguities. Three measurement methods are deeply investigated: Force Myography (FMG), Electrical Impedance Tomography (EIT), and surface Electromyography (EMG). The potential of these methods is evaluated in the context of American Sign Language (ASL). For...