01778nas a2200241   4500000000100000000000100001008004100002260001200043653002800055653001300083653002300096653003500119653003700154100002500191700002000216700003100236245008800267856007900355300001000434490000600444520107200450022001401522       2022                            d  c09/202210aArtificial Intelligence10ae-health10aDigital Ecosystems10aEmotionally Intelligent Agents10aHuman-Computer Interaction (HCI)1 aSamuel Marcos-Pablos1 aFernando Lobato1 aFrancisco García-Peñalvo00aIntegrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents  uhttps://www.ijimai.org/journal/sites/default/files/2022-09/ijimai7_6_8.pdf  a69-760 v73 aEmotionally responsive agents that can simulate emotional intelligence increase the acceptance of users towards them, as the feeling of empathy reduces negative perceptual feedback. This has fostered research on emotional intelligence during last decades, and nowadays numerous cloud and local tools for automatic emotional recognition are available, even for inexperienced users. These tools however usually focus on the recognition of discrete emotions sensed from one communication channel, even though multimodal approaches have been shown to have advantages over unimodal approaches. Therefore, the objective of this paper is to show our approach for multimodal emotion recognition using Kalman filters for the fusion of available discrete emotion recognition tools. The proposed system has been modularly developed based on an evolutionary approach so to be integrated in our digital ecosystems, and new emotional recognition sources can be easily integrated. Obtained results show improvements over unimodal tools when recognizing naturally displayed emotions.  a1989-1660