Paper Title
Controlling of Robotic Hand using EMG Signals

The Electromyogram — the electrical activity of skeletal muscle — finds useful applications in many fields, such as biomechanics, rehabilitation medicine, neurology, gait analysis, exercise physiology, pain management, orthotics, incontinence control, prosthetic device control, even unvoiced speech recognition and man–machine interfaces. An electromyogram signal detection and conditioning circuit has been designed by Prof. E. Clancy in 2003. Although the circuit's performance characteristics are satisfactory, the circuit is large in size and power consumption in comparison to technology that may be used today to perform the same functionality. The goal of this project was to investigate technological advances that may be used to improve Clancy's design size, power consumption and, potentially, performance. This research can then be used to design a new electromyogram signal conditioning circuit that would have at least the same performance characteristics, will be reduced in size and power and be possible to manufacture and maintain in an academic setting.