@inproceedings{3344077aae574df099c32fd5e5325b30,
title = "Are paired or single stimuli beter to recognize genuine and posed smiles from observers' galvanic skin response?",
abstract = "Smile recognition plays a vital role in human-human and human-computer interactions. This paper demonstrates a system to recognize the genuine and posed smiles by sensing observers' galvanic skin response (GSR), while watching sets of images and videos. The smiles were shown either in paired' or in single' forms. Here, paired' means that the same smiler was seen in both genuine and posed smile forms, otherwise the condition is referred to as single'. The GSR signals were recorded and processed, and several time-domain and frequency-domain features were extracted from the processed GSR signals. Classification accuracies were found to be as high as 93.6% and 91.4% from paired and single conditions respectively. In comparison, observers were verbally 59.8% and 56.2% correct. Our results demonstrate that human subconscious responses (i.e. GSR signals) is better than their own verbal response, where the paired condition is slightly better than the single condition.",
keywords = "Classification, Emotion Recognition, Galvanic Skin Response, Paired Stimuli, Smile Detection",
author = "Rahman, {Jessica Sharmin} and Hossain, {Md Zakir} and Tom Gedeon",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 32nd Australian Computer-Human Interaction Conference, OzCHI 2020 ; Conference date: 02-12-2020 Through 04-12-2020",
year = "2020",
month = dec,
day = "2",
doi = "10.1145/3441000.3441041",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "661--665",
editor = "Naseem Ahmadpour and Tuck Leong and Bernd Ploderer and Callum Parker and Sarah Webber and Diego Munoz and Lian Loke and Martin Tomitsch",
booktitle = "Proceedings of the 32nd Australian Computer-Human Interaction Conference, OzCHI 2020",
address = "United States",
}