Scholarlink

The use of biomedical devices for physiological signal monitoring has grown due to its applications in health and education. This study presents a data acquisition system based on the Mehrabian and Russell model, which links emotional dimensions to physiological parameters such as heart rate (valence), skin conductance (arousal), and temperature (dominance). The system can interpret emotions such as happiness, anger, fear and sadness using standardized stimuli from the IAPS and IADS databases.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Neural Network-Based Emotion Detection Through Biosignals and Standardized Emotional Stimuli

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Luis Jesús Gómez Coria,
  • Karly Martínez Juan,
  • Paola Samantha González Chávez,
  • Ricardo Emmanuel García Manzo

摘要

The use of biomedical devices for physiological signal monitoring has grown due to its applications in health and education. This study presents a data acquisition system based on the Mehrabian and Russell model, which links emotional dimensions to physiological parameters such as heart rate (valence), skin conductance (arousal), and temperature (dominance). The system can interpret emotions such as happiness, anger, fear and sadness using standardized stimuli from the IAPS and IADS databases.