Recent technological improvements in the field of neurorobotics have led to developments of numerous wearable robotic assistive devices in the field of rehabilitation. Such new prosthetic and orthotic devices should ideally recognize a users intention to act and aid with different environmental interactions. While the mechanical design of such devices remains a demanding challenge, it is equally important to address and investigate novel control strategies that allow the control of these devices in an intuitive and seamless way. In fact, the objective of novel control paradigms in prostheses and orthoses is to recognize effectively the user intention through bio-signals those generate spontaneously during movement, like electromyography.