Feasibility of facial EMG in gender classification during speech production

Abstract

Gender identification has its unique importance in sports and forensic sciences. However, the social issues are major constraints to identify the gender of a human being. A novel approach for gender classification using facial EMG is presented. The time domain features of facial EMGs are explored towards their robustness in gender identification. A Davies-Bouldin index is calculated to evaluate the features. Anterior belly of digastrics along with Orbicularis Oris Inferior showed the promising classification accuracy of 80% with the reported features. A possible enhancement in accuracy could be possible by a larger dataset.

Assessment and in vitro Experiment of Artificial Anal Sphincter System based on Rebuilding the Rectal Sensation Function

“…The aim of the optimal wavelet packet decomposition is to select an optimal wavelet packet basis for classification problems from the library of wavelet packet bases. The Davies-Bouldin (DB) index has been proved effective when used to evaluate the classification ability of feature space (17–19). Hence, the DB index is adopted in this paper to measure the classification ability and to select the optimal wavelet packet basis.…”