Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild by McDuff, Daniel Jonathan, Senechal, Thibaud, Amr, May, Cohn, Jeffrey F., Picard, Rosalind W., El Kaliouby, Rana

“…This data is available for distribution to researchers online, the EULA can be found at: http://www.affectiva.com/facial-expression-dataset-am-fed/.…”
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A Comparison of the Affectiva iMotions Facial Expression Analysis Software With EMG for Identifying Facial Expressions of Emotion by Louisa Kulke, Louisa Kulke, Dennis Feyerabend, Annekathrin Schacht, Annekathrin Schacht

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AutisMitr: Emotion Recognition Assistive Tool for Autistic Children by Singh Akansha, Dewan Surbhi

“…The objective is to frame a system that includes all three stages of emotion recognition activity that executes expeditiously in real time. Thus, Affectiva SDK is implemented in the application. The propound system detects at most 7 facial emotions: anger, disgust, fear, joy, sadness, contempt, and surprise. …”
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Blockchain for mobile applications by Lim, Wayne Wei En

“…This is accomplished by using Affectiva’s android SDK which analyzes every frame from the live camera feed using deep learning algorithms for emotion tracking. …”
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Memory structure for multi-modal data streams by Ghadge, Rachana Mohan

“…Also, data analytics is performed on the data which is received from various sources of data like microphone, camera, affectiva and Kinect respectively. And when the same person appears in front of the Nadine, data is retrieved from the tables and then accordingly she is able to respond. …”
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Afektonimy jako przedmiot badań lingwistycznych (na materiale listów Wojciecha Kossaka do żony) by Anna Wojciechowska

“…The study consists of two parts: The first section is dedicated to discussing and arranging research already done on affectionate language (terminology in use, definitions, affectionate names vs. „affectiva”, the grammar and stylistics of affectionate names, and thematic description). …”
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A study of how emotional design of a digital task management tool impacts individual productivity by Lin, Teresa Y. (Teresa Ye)

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Toward a taxonomy of autonomic sleep patterns with electrodermal activity by Sano, Akane, Picard, Rosalind W.

“…This paper presents a first version of a taxonomy of automatic sleep patterns found with the Affectiva Q™ Sensor, a wireless, logging biosensor that measures skin conductance, skin temperature, and motion comfortably from the wrist. …”
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Self-Reported Emotions and Facial Expressions on Consumer Acceptability: A Study Using Energy Drinks by Annu Mehta, Chetan Sharma, Madhuri Kanala, Mishika Thakur, Roland Harrison, Damir Dennis Torrico

“…The explicit response of consumers was assessed using liking (nine-point hedonic scale), and emotions (EsSense Profile^®—Check-All-That-Apply questionnaire), and implicit emotional responses were evaluated by studying facial expressions using the Affectiva Affdex^® software. The familiarity of the product and purchase intent were also assessed during the study. …”
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Automated facial expression analysis of participants self-criticising via the two-chair technique: exploring facial behavioral markers of self-criticism by Júlia Halamová, Martin Kanovský, Guilherme Brockington, Bronislava Strnádelová

“…In the analysis we used iMotions’s Affectiva AFFDEX module (Version 8.1) to classify the participants’ actions units from the self-criticising videos. …”
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The Study of Facial Muscle Movements for Non-Invasive Thermal Discomfort Detection via Bio-Sensing Technology. Part I: Development of the Experimental Design and Description of the... by Alla Marchenko, Alenka Temeljotov-Salaj, Victor Rizzardi, Odne Oksavik

“…The iMotions software has built-in machine vision algorithms, and with Shimmer sensors and a post-processing tool through Affectiva AFFDEX, is able to collect facial action data through detection of the facial muscle movements and various bio-markers. …”
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Tradução intersemiótica como fator de produção de legendas mediante processamento digital de imagens e narrativa fílmica by Sinara de Oliveira Branco, Pedro Henrique de Paiva Gaudencio, Luciana Ribeiro Veloso

“…Para tanto, as cenas selecionadas foram examinadas através da triangulação de dados obtidos pelo processamento digital de imagens via software de reconhecimento facial e quantificação emocional (Affectiva, EMOVIE); da análise das personagens inseridas em suas narrativas fílmicas (GAUDREAULT; JOST, 2009); e das escolhas tradutórias para a legendagem (DÍAZ CINTAS; REMAEL, 2014); considerando-se ainda a Tradução Intersemiótica como significação analógica entre sistemas de signos distintos (PLAZA, 2003). …”
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6G and Artificial Intelligence Technologies for Dementia Care: Literature Review and Practical Analysis by Zhaohui Su, Barry L Bentley, Dean McDonnell, Junaid Ahmad, Jiguang He, Feng Shi, Kazuaki Takeuchi, Ali Cheshmehzangi, Claudimar Pereira da Veiga

“…ResultsThe findings of the study were analyzed in terms of the interplay between people with dementia’s unique health challenges and the promising capabilities of health technologies, with in-depth and comprehensive analyses of advanced technology-based solutions that could address key dementia care needs, ranging from impairments in memory (eg, Egocentric Live 4D Perception), speech (eg, Project Relate), motor (eg, Avatar Robot Café), cognitive (eg, Affectiva), to social interactions (eg, social robots). …”
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Self-Interfaces : utilizing real-time biofeedback in the wild to elicit subconscious behavior change by Haghighi, Nava.

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