• Shubhra Singh
• Dr. Ritula Thakur

Electromyography (EMG) involves evaluating and recording electrical / neural activity of muscle tissue, utilizing small electrodes attached to the skin or inserted into the muscle. EMG signals can be used to control the robotic device or prosthetic limb by wearing it or wirelessly. This paper summarizes the research done to utilize myoelectric commands interface that would permits multiple joints of a trans-radial prosthesis. The features have been computed for a 5 subjects on various kinds of grasps. The algorithm presents a fusion approach that not only extracts the features from the current analysis windows but, also fuses that with those extracted from previous windows for robust activity recognition. The algorithm has been evaluated on similar features from the test data to predict grasp patterns with higher accuracy levels.

Electromyography, sEMG, signal acquisition, feature extraction, hand grasp.

"Power Spectrum Analysis of sEMG signals ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.428-436, January-2019, Available :http://www.jetir.org/papers/JETIR1901450.pdf

"Power Spectrum Analysis of sEMG signals ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp428-436, January-2019, Available at : http://www.jetir.org/papers/JETIR1901450.pdf