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Willams Costa, Estefanía Talavera, Renato Oliveira, Lucas Figueiredo, João Marcelo Teixeira, João Paulo Lima and Veronica Teichrieb
Emotion recognition is the task of identifying and understanding human emotions from data. In the field of computer vision, there is a growing interest due to the wide range of possible applications in smart cities, health, marketing, and surveillance, a...
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Fei Yan, Abdullah M. Iliyasu, Sihao Jiao and Huamin Yang
Utilising the properties of quantum mechanics, i.e., entanglement, parallelism, etc., a quantum structure is proposed for representing and manipulating emotion space of robots. This quantum emotion space (QES) provides a mechanism to extend emotion inter...
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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the e...
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Peranut Nimitsurachat and Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m...
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Haiyang Su and Chaolong Chen
Regional tourism with urban agglomeration as the spatial carrier has become one of the flow characteristics of many tourists. Tourists visiting multiple cities at one time will certainly gain more value than visiting one city, but they will also pay more...
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Kim Ferres, Timo Schloesser and Peter A. Gloor
This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate e...
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Manish Kumar, Thushara D. Abhayapala and Prasanga Samarasinghe
The recent advances in Human-Computer Interaction and Artificial Intelligence have significantly increased the importance of identifying human emotions from different sensory cues. Hence, understanding the underlying relationships between emotions and se...
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Luis A. Corujo, Emily Kieson, Timo Schloesser and Peter A. Gloor
Creating intelligent systems capable of recognizing emotions is a difficult task, especially when looking at emotions in animals. This paper describes the process of designing a ?proof of concept? system to recognize emotions in horses. This system is fo...
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Anam Manzoor, Waqar Ahmad, Muhammad Ehatisham-ul-Haq, Abdul Hannan, Muhammad Asif Khan, M. Usman Ashraf, Ahmed M. Alghamdi and Ahmed S. Alfakeeh
Emotions are a fundamental part of human behavior and can be stimulated in numerous ways. In real-life, we come across different types of objects such as cake, crab, television, trees, etc., in our routine life, which may excite certain emotions. Likewis...
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Tai-Ling Liu, Peng-Wei Wang, Yi-Hsin Connie Yang, Gary Chon-Wen Shyi and Cheng-Fang Yen
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is characterized by impaired social interaction, communication and restricted and repetitive behavior. Few studies have focused on the effect of facial emotion recognition on bullying i...
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Pavitra Patel,A. A. Chaudhari,M. A. Pund,D. H. Deshmukh
Pág. 56 - 64
Speech emotion recognition is an important issue which affects the human machine interaction. Automatic recognition of human emotion in speech aims at recognizing the underlying emotional state of a speaker from the speech signal. Gaussian mixture models...
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Yingmei Qi, Heming Huang and Huiyun Zhang
Speech emotion recognition is a crucial work direction in speech recognition. To increase the performance of speech emotion detection, researchers have worked relentlessly to improve data augmentation, feature extraction, and pattern formation. To addres...
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Ian D. Wood, John P. McCrae, Vladimir Andryushechkin and Paul Buitelaar
While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of a more nuanced affect has received less attention: there are few publicly available anno...
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Andrej Ko?ir and Gregor Strle
This paper presents an experimental study on modeling machine emotion elicitation in a socially intelligent service, the typing tutor. The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective sta...
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WAWAN NOVIANTO, JOHANNES JOHANNES, SYAHMARDI YACOB
Pág. 107 - 111
Impulse buying is mportant to be managed particularly on retail competitive marketing practice. The research purpose is to analyze the influence of store atmosphere, sales promotion on impulse buying where &...
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Yongrui Huang, Jianhao Yang, Siyu Liu and Jiahui Pan
Emotion recognition plays an essential role in human?computer interaction. Previous studies have investigated the use of facial expression and electroencephalogram (EEG) signals from single modal for emotion recognition separately, but few have paid atte...
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Risna Nofianti 10.21831/economia.v10i2.7545
Pág. 194 - 200
Abstrak: Pengaruh Threat Emotion Konsumen dan Brand Trust Terhadap Keputusan Pembelian Produk Gadget. Penelitian ini bertujuan untuk mengetahui pengaruh threat emotion, brand trust terhadap keputusan pembelian produk gadget. Penelitian ini merupakan pene...
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Achmad Choirul,Yessy Artanti
Pág. in press
Indonesian buying behavior especially on generation Y or millennials tends to be impulsive and rapid development of retail fashion business allows marketers to learn and formulated strategy. As one of the defined group of people, millennials are a potent...
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Min Seop Lee, Yun Kyu Lee, Dong Sung Pae, Myo Taeg Lim, Dong Won Kim and Tae Koo Kang
Physiological signals contain considerable information regarding emotions. This paper investigated the ability of photoplethysmogram (PPG) signals to recognize emotion, adopting a two-dimensional emotion model based on valence and arousal to represent hu...
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Yuhao He, Qianlong Zhao, Shanqi Sun, Wenjing Li and Waishan Qiu
The COVID-19 outbreak followed by the strict citywide lockdown in Shanghai has sparked negative emotion surges on social media platforms in 2022. This research aims to investigate the spatial?temporal heterogeneity of a unique emotion (helplessness) and ...
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