Publications

@inproceedings{gentileBodyGesturesSpoken2017,

title = {Body Gestures and Spoken Sentences: A Novel Approach for Revealing User's Emotions},

author = { Vito Gentile and Fabrizio Milazzo and Salvatore Sorce and Antonio Gentile and Agnese Augello and Giovanni Pilato},

doi = {10.1109/ICSC.2017.14},

isbn = {978-1-5090-4896-0},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017},

pages = {69--72},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In the last decade, there has been a growing interest in emotion analysis research, which has been applied in several areas of computer science. Many authors have contributed to the development of emotion recognition algorithms, considering textual or non verbal data as input, such as facial expressions, gestures or, in the case of multi-modal emotion recognition, a combination of them. In this paper, we describe a method to detect emotions from gestures using the skeletal data obtained from Kinect-like devices as input, as well as a textual description of their meaning. The experimental results show that the correlation existing between body movements and spoken user sentence(s) can be used to reveal user's emotions from gestures. textcopyright 2017 IEEE.},

keywords = {Emotion Analysis, Emotion Recognition, Facial Expressions, Gestural user interfaces, Human computer interaction, Semantic Computing, Sentiment Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gentile_body_2017,

title = {Body Gestures and Spoken Sentences: A Novel Approach for Revealing User's Emotions},

author = {Vito Gentile and Fabrizio Milazzo and Salvatore Sorce and Antonio Gentile and Agnese Augello and Giovanni Pilato},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018255013&doi=10.1109%2fICSC.2017.14&partnerID=40&md5=23d8bb016146afe5e384b12d84f3fb85},

doi = {10.1109/ICSC.2017.14},

isbn = {978-1-5090-4896-0},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017},

pages = {69–72},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In the last decade, there has been a growing interest in emotion analysis research, which has been applied in several areas of computer science. Many authors have contributed to the development of emotion recognition algorithms, considering textual or non verbal data as input, such as facial expressions, gestures or, in the case of multi-modal emotion recognition, a combination of them. In this paper, we describe a method to detect emotions from gestures using the skeletal data obtained from Kinect-like devices as input, as well as a textual description of their meaning. The experimental results show that the correlation existing between body movements and spoken user sentence(s) can be used to reveal user's emotions from gestures. © 2017 IEEE.},

keywords = {Emotion Analysis, Emotion Recognition, Facial Expressions, Gestural user interfaces, Human computer interaction, Semantic Computing, Sentiment Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}