کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
411802 679589 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Eyebrow emotional expression recognition using surface EMG signals
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Eyebrow emotional expression recognition using surface EMG signals
چکیده انگلیسی

The main objective of this study is to recognize facial emotional expression effectively in human–computer interaction. A surface electromyography (sEMG) based eyebrow emotional expression recognition method is proposed. Using a specially designed headband, we conducted an experiment in which we recorded the sEMG signals from the frontalis and corrugator supercilii muscles of six participants who were instructed to pose the facial expressions of anger, fear, sadness, surprise and disgust. Subsequently, six features of the sEMG time domain were extracted and used as input vectors to an emotion recognition model based on an Elman neural network (ENN). The performance of this model was compared to another recognition model based on a Back Propagation neural network (BPNN). The average recognition rate for the five emotions achieved by the ENN-based model was 97.12% in the training and 96.12% in the test set, which was slightly superior to the performance of the BPNN-based model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 168, 30 November 2015, Pages 871–879
نویسندگان
, , ,