Sergio A. Navarro-Tuch, Rodrigo Solís-Torres, Rogelio Bustamante-Bello, Ariel A. López-Aguilar, Guillermo González-Archundia, Omar Hernandez-Gonzalez
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引用次数: 1
摘要
在这篇文章中,我们将介绍一个与声音刺激有关的面部表情实验的分析结果。音乐疗法可用于治疗自闭症儿童、疾病和障碍、软件开发和个性化音乐系统[5]。通过imotion获取的数据,使用Matlab和Excel对分析数据进行处理。使用Matlab”,利用数据分析工具对原始数据进行分析,以确定人工合成与人类合成音频的影响。数据来自三个实验,每个实验有不同的条件,每个实验有不同的被试人数,每个实验的音频片段的长度和类型都不同。从这三个实验中获得的数据使用FACET of iemotions进行分析。对于下一阶段,我们分析了Neutral Emotion,该分析的目的对于未来阶段的循环神经网络的适当发展至关重要,以开发一种算法来创建音乐序列,具有潜在的治疗,教育和生产力提高实施
Variation of Facial Expression Produced by Acoustic Stimuli
In this paper we will present the analyzed results of an experiment that relates the facial expression with acoustic stimuli. Music therapy can be used for treating autistic children, diseases and disorders, software development and personalized musical systems [5]. Through the data obtained using iMotions", the analyzed data was processed using Matlab" and Excel. Matlab" was used to analyze the raw data using the data analysis tools, in order to determine the impact of artificially synthesized versus human composed audios. The data was obtained from three experiments, each experiment had different conditions, each experiment had different number of participants, the length and type of audio segment changed for each experiment. The data obtained from these three experiments were analyzed using FACET of iMotions". For the next stage we analyzed Neutral Emotion, the purpose of this analysis is of outmost importance for future stages for a proper development of a recurrent neural network to develop an algorithm to create music sequences, with potential therapeutic, educational and productivity improvement implementations