iemocap: interactive emotional dyadic motion capture database

iemocap: interactive emotional dyadic motion capture database

Semi-supervised Ladder Networks for Speech Emotion ... What's IEMOCAP dataset? It was recorded from children between 7 and 13 years old while playing a sorting card game with an adult examiner. The attention mechanism of the model focuses on emotion-related elements of the IS09 and mel spectrogram feature and the emotion-related duration from the time of the feature. S. Lee, and S.S. Narayanan, "IEMOCAP: Interactive emotional dyadic motion capture database," Journal of Language Resources and Evaluation, vol. F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and B. Weiss, " A database of German emotional speech," in 9th European Conference on Speech Communication and Technology (2005), pp. Each segment is annotated for the presence of 9 emotions (angry, excited, fear, sad . Each conversation consists of two speakers, namely a dyadic dialog. Attention-LSTM-Attention Model for Speech Emotion ... In the recording, fty-three markers were attached to the face of the subjects. Learning affective representations based on magnitude and ... PDF Emilya: Emotional body expression in daily actions database ProKarma's Edge Intelligence group previously implemented a bi-directional long short-term memory recurrent neural network (LSTM RNN) trained using open-source datasets such as the Interactive Emotional Dyadic Motion Capture (IEMOCAP) database in order to perform emotion and sentiment classification on acoustics features extracted from audio . The Interactive Emotional Dyadic Motion Capture (IEMOCAP) database is an acted, multimodal and multispeaker database, recently collected at SAIL lab at USC. The audio files consist of 10,039 utterances produced by the English native speakers. IEMOCAP: Interactive emotional dyadic motion capture database C.C. Chen et al. Find Instagram, Twitter, Facebook and TikTok profiles, images and more on IDCrawl - free people search website. A CNN-Assisted Enhanced Audio Signal Processing for Speech ... We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is to have control over lexical content and emotion while also promoting naturalness in the recordings. DOI: 10.1007/S10579-008-9076-6 Corpus ID: 11820063. DATASET We use the IEMOCAP database collected at University of Southern California [23]. had designed the interactive emotional dyadic motion capture database (IEMOCAP) [9], which contains improvised and scripted dyadic interactions in the form of audio-visual data as well as Motion Capture data for facial expressions. IEMOCAP (Interactive Emotional Dyadic Motion Capture) database.13 While convenient to assemble, such an approach can lead to exaggerated expressions lacking realistic nuance. 13 13. cently recorded the Interactive Emotional Dyadic Motion Cap-ture (IEMOCAP) database at the University of Southern Cal-ifornia (USC) [4]. IEMOCAP: Interactive emotional dyadic motion capture database. IEMOCAP: Interactive emotional dyadic motion capture database. The database contains 11 h of recordings, split over 54 sessions of dyadic interactions between 12 confederates and their 48 counterparts, being engaged either in a socio-political discussion or negotiating a tenancy agreement. IEMOCAP: interactive emotional dyadic motion capture database," Language Resources and Evaluation by Carlos Busso, Murtaza Bulut, Chi-chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee, Shrikanth S. Narayanan , 2008 42, no. IEMOCAP: Interactive emotional dyadic motion capture database 3 Figure 1. It contains 12 hours of audiovisual recordings of dialogue sessions between two actors. Emotionlines: An emotion corpus of multi-party conversations. Please enter your information (academic institute email addresses only) below. Next, the EALVI was calculated from the emotional speech recordings stored in the interactive emotional dyadic motion capture (IEMOCAP) database 17, and compared with the emotional arousal level . Emotional Dialogue Acts data contains dialogue act labels for existing emotion multi-modal conversational datasets. EDAs reveal associations between dialogue acts and emotional states in a natural-conversational language such as Accept . Multimodal data fusion is to transform data from multiple single-mode representations to a . IEMOCAP (The Interactive Emotional Dyadic Motion Capture (IEMOCAP) Database) Multimodal Emotion Recognition IEMOCAP The IEMOCAP dataset consists of 151 videos of recorded dialogues, with 2 speakers per session for a total of 302 videos across the dataset. C. Busso, M. Bulut, C. Lee, A. Kazemzadeh, E. Mower, S. Kim, J. Chang, S. Lee, and S. Narayanan, "IEMOCAP: Interactive emotional dyadic motion capture database . Chang, S. Lee, S.S. Narayanan, Iemocap: interactive emotional . 2004). 5 emotions: happiness, anger, sadness, frustration and neutral. Language Re- 4.8 Qualitative Analysis sources and Evaluation, 42(4):335-359. To evaluate the proposed DRP and the two proposed models based on the magnitude and phase information, experiments were conducted on two public emotional databases, including the Berlin Emotional Database (Emo-DB) (Burkhardt et al., 2005) and the Interactive Emotional Dyadic Motion Capture (IEMOCAP) database (Busso et al., 2008). C. Some¨ researches highlight the importance of studying emotion expression during an interaction. Journal of Language Resources and Evaluation, In press, 2008. 1517- 1520. and parts of the IEMOCAP (Interactive Emotional Dyadic Motion Capture) database. The proposed method proved to be adaptive across a small number of target user datasets and emotionally-imbalanced data environments through iterative experiments using the IEMOCAP (Interactive Emotional Dyadic Motion Capture) database. IEMOCAP: interactive emotional dyadic motion capture database IEMOCAP: interactive emotional dyadic motion capture database Busso, Carlos; Bulut, Murtaza; Lee, Chi-Chun; Kazemzadeh, Abe; Mower, Emily; Kim, Samuel; Chang, Jeannette; Lee, Sungbok; Narayanan, Shrikanth 2008-11-05 00:00:00 Since emotions are expressed through a combination of verbal and non-verbal channels, a joint analysis of . 2.1.1. Interactive Emotional Dyadic Motion Capture (IEMOCAP) database which was collected in 5 sessions, contains 12 h of video each of which has one female and one male speaker in both scripted and improvised scenarios. The proposed CNN model was trained on the extracted frequency features from the speech data and was then tested to predict the emotions. It is the most popular database used for multi-modal speech emotion recognition. . interaction. This allows for evaluation of models with different . - - English: IEMOCAP: Interactive emotional dyadic motion capture database: Restricted access: License: Keio-ESD: 2006: A set of human speech with vocal emotion spoken by a Japanese male speaker. It contains approximately 12 hours of audiovisual data, including video, speech, motion capture of face, text transcriptions. Experiments are carried out on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) dataset. SER, and mel spectrogram, and we analyze the reliability problem of the interactive emotional dyadic motion capture (IEMOCAP) database. IEMOCAP: Interactive emotional dyadic motion capture database Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee and Shrikanth S. Narayanan Speech Analysis and Interpretation Laboratory (SAIL) University of Southern California, Los Angeles, CA 90089 October 15th, 2007 Abstract. training data samples by applying random time-frequency masks to log-mel spectrograms to mitigate overfitting and improve the generalization of emotion recognition models. IEMOCAP: interactive emotional dyadic motion capture database (pp. 2.2. Interactive emotional dyadic motion capture (IEMOCAP) dataset structure. Emotion recognition is the process of identifying human emotion.People vary widely in their accuracy at recognizing the emotions of others. 2008) and FAU Aibo Emotion Corpus are successful efforts to record spontaneous emotional states. To the best of our knowledge, this is the first study in which the BERT model and CNNs are applied to a . ship and interplay between speech, facial expressions, head . Introduction Humans use intricate orchestrations of vocal and visual For the evaluation of the MPGLN SER as applied to multi-cultural domain datasets, the Korean Emotional Speech Database (KESD), including KESDy18 and KESDy19, is constructed, and the English-speaking Interactive Emotional Dyadic Motion Capture database (IEMOCAP) is used. We also compare the ladder network with other classical autoencoder structures. IEMOCAP: Interactive emotional dyadic motion capture database C Busso, M Bulut, CC Lee, A Kazemzadeh, E Mower, S Kim, JN Chang, . 335-359, December 2008. . Lee, A. Kazemzadeh, E. Mower, S. Kim, J.N. We propose a speech-emotion recognition (SER) model with an "attention-long Long Short-Term Memory (LSTM)-attention" component to combine IS09, a commonly used feature for SER, and mel spectrogram, and we analyze the reliability problem of the interactive emotional dyadic motion capture (IEMOCAP) database. Kapur et al. 335-359, December 2008. . Language resources and evaluation 42 (4), 335-359 , 2008 IEMOCAP: interactive emotional dyadic motion capture database. We achieved 79.34% weighted accuracy (WA) and 77.54% unweighted accuracy (UA), which, to the best of our knowledge, is the state of the art on this dataset. They also wore wristbands (two markers) and headband (two markers). The proposed technique is evaluated on Interactive Emotional Dyadic Motion Capture (IEMOCAP) and Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) datasets to improve accuracy by 7.85% and 4.5%, respectively, with the model size reduced by 34.5 MB. Iemocap: Interactive emotional dyadic motion capture database. Marker layout. 1. It is collected by the Speech Analysis and Interpretation Laboratory (SAIL) at the University of Southern California (USC). Language resources and evaluation 42 (4), 335-359 , 2008 IEMOCAP states for Interactive Emotional Dyadic Motion and Capture dataset. In order to make a unified analysis of verbal and non verbal behavior. Conclusions. The experiments were conducted on the interactive emotional dyadic motion capture (IEMOCAP) database, and the results reveal that the proposed methods achieve superior performance with a small number of labelled data and achieves better performance than other methods. 815- 823. has caught our . trayals) database (Banziger et al., 2006), 10 professional¨ actors portrayed 15 affective states under the direction of a professional stage director (Banziger et al., 2006). IEMOCAP (The Interactive Emotional Dyadic Motion Capture (IEMOCAP) Database) Multimodal Emotion Recognition IEMOCAP The IEMOCAP dataset consists of 151 videos of recorded dialogues, with 2 speakers per session for a total of 302 videos across the dataset. 2.1. The IEMOCAP is a multimodal emotional database that contains both improvised and scripted dialogues recorded from 10 actors in 5 dyadic sessions. This paper presented the interactive emotional dyadic motion capture database (IEMOCAP) as a potential resource to expand research in the area of expressive human communication. It contains approximately 12 hours of audiovisual data, including video, speech, motion capture of face, text transcriptions. A corpus of student-computer interactions has also been cre- The Interactive Emotional Dyadic Motion Capture (IEMOCAP) Database Home More Info Release Publications . The Interactive Emotional Dyadic Motion Capture (IEMOCAP) dataset is one of the most used corpora for training emotion recognition systems. Language resources and evaluation, 42(4):335-359. In this paper, we proposed a method called Head Fusion . IEMOCAP: Interactive emotional dyadic motion capture database C Busso, M Bulut, CC Lee, A Kazemzadeh, E Mower, S Kim, JN Chang, . [SpringerLink] [4] Carlos Busso and Shrikanth Narayanan. BibTeX @MISC{Busso08iemocap:interactive, author = {Carlos Busso and Murtaza Bulut and Chi-chun Lee and Abe Kazemzadeh and Emily Mower and Samuel Kim and Jeannette N. Chang and Sungbok Lee and Shrikanth S. Narayanan}, title = {IEMOCAP: interactive emotional dyadic motion capture database," Language Resources and Evaluation}, year = {2008}} The Interactive Emotional Dyadic Motion Capture (IEMOCAP) database is an acted, multimodal and multispeaker database, recently collected at SAIL lab at USC. IEMOCAP database. Experiments are performed for speaker-dependent and speaker-independent SER using four publicly available datasets: the Berlin Dataset of Emotional Speech (Emo-DB), Surrey Audio Visual Expressed Emotion (SAVEE), Interactive Emotional Dyadic Motion Capture (IEMOCAP), and the Ryerson Audio Visual Dataset of Emotional Speech and Song (RAVDESS). at the SAIL Laboratory of USC. 2005). Multimodal fusion is aimed at taking advantage of the complementarity of heterogeneous data and providing reliable classification for the model. Experimental results of the subjects p ossible, the database should include the . Language resources and evaluation 42 (4), 335-359 , 2008 had designed the interactive emotional dyadic motion capture database (IEMOCAP) [9], which contains improvised and scripted dyadic interactions in the form of audio-visual data as well as Motion Capture data for facial expressions. To evaluate the proposed DRP and the two proposed models based on the magnitude and phase information, experiments were conducted on two public emotional databases, including the Berlin Emotional Database (Emo-DB) (Burkhardt et al., 2005) and the Interactive Emotional Dyadic Motion Capture (IEMOCAP) database (Busso et al., 2008). In this paper, USC Interactive Emotional Dyadic Motion Capture (IEMOCAP) and the Berlin Emotional Speech (EMO-DB) databases are employed to evaluate the feature selection methods. . The proposed SER model was evaluated over two benchmarks, which included the interactive emotional dyadic motion capture (IEMOCAP) and the berlin emotional speech database (EMO-DB) speech datasets, and it . To facilitate such investigations, this paper describes a new corpus named the "interactive emotional dyadic motion capture database" (IEMOCAP), collected by the Speech Analysis and . To this end, Busso et al. A. Corpus Information The IEMOCAP has 10039 English utterances with ten emo- Data description. Elicited speech databases offer greater authenticity because they are comprised of simulated emotional situations where actors are free to improvise their reactions. The Interactive Emotional Dyadic Motion Capture (IEMOCAP) Database Home More Info Release . The employed datasets are: IEMOCAP: Interactive emotional dyadic motion capture database (English) [35] and MSP Podcast data set (English) [36]. We chose two popular multimodal emotion datasets: Multimodal EmotionLines Dataset (MELD) and Interactive Emotional dyadic MOtion CAPture database (IEMOCAP). MELD contains two labels for each utterance in a dialogue: Emotions and Sentiments. Emotions -- Anger, Disgust, Sadness, Joy, Neutral, Surprise and Fear. The IEMOCAP dataset is a multimodal dataset containing textual, visual, and acoustic information. The proposed solution is evaluated on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) corpus and student emotional database, and shows more accurate results than . 335-359) Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee and Shrikanth S. Narayanan This paper describes the creation of a database of emotional speech in the Spanish spoken in Mexico. A SoftMax classifier is used for the classification of emotions in speech. Speech Emotion Recognition (SER) refers to the use of machines to recognize the emotions of a speaker from his (or her) speech. But there are still many problems in SER research, e.g., the lack of high-quality data, insufficient model accuracy, little research under noisy environments, etc. IEMOCAP: Interactive emotional dyadic motion capture database C Busso, M Bulut, CC Lee, A Kazemzadeh, E Mower, S Kim, JN Chang, . The game is based on a neuropsychological test, modified to encourage dialogue and induce emotions in the player. Interactive emotional dyadic motion capture. 4, pp. We chose two popular multimodal emotion datasets: Multimodal EmotionLines Dataset (MELD) and Interactive Emotional dyadic MOtion CAPture database (IEMOCAP). When features of multiple modalities are extracted, it is reasonable to beli. It consists of dyadic sessions where actors perform . (2018) Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Lun-Wei Ku, et al. laboratory condition and real-life applications. This multimodal corpus comprises speech and detailed facial, head and hand motion. Interactive emotional dyadic motion capture database 339 emotional expression. The generated samples are close to the natural speech signals of the original learning content, which are rich in diversity and can approximate the real emotional speech. IEMOCAP: Interactive emotional dyadic motion capture database 5. Mel spectrogram is an We propose a speech-emotion recognition (SER) model with an "attention-long Long Short-Term Memory (LSTM)-attention" component to combine IS09, a commonly used feature for SER, and mel spectrogram, and we analyze the reliability problem of the interactive emotional dyadic motion capture (IEMOCAP) database. IEMOCAP: 2007: 12 hours of audiovisual data by 10 actors. IEMOCAP stands for Interactive Emotional Dyadic Motion Capture database and has the following features: It is an acted, multimodal and multi speaker database It was recently collected at SAIL lab at USC It contains roughly 12 hours of audiovisual data, including video, speech, motion capture of face and text transcriptions. The features extracted from the audio signal are IS09 and mel spectr ogram. Although there have been quite a lot of achievements so far, a very interesting deep learning model called FaceNet 2 2. interaction. 2018. IEMOCAP. The database contains audio, video, and motion capture data of 10 speakers (5 males and 5 females). As a case study, the paper discusses the interactive emotional dyadic motion capture database (IEMOCAP), recently recorded at the University of Southern California (USC), which inspired the suggested guidelines. This database consists of approxi-mately12hoursof audiovisualdata fromfivemixedgender Interrelation between Speech and Facial Gestures in Emotional Utterances: A single subject study. Emotional databases. In this work, we use two corpora, which are Interactive Emotional Dyadic Motion Capture Database (IEMOCAP) and Emotional Tagged Corpus on Lakorn (EMOLA), in the eval-uation of our proposed methods. Studies on . The emotion labels include happy, sad, neutral, angry, excited, and frustrated. DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations, ACL 2021 Earlier studies have shown that certain emotional characteristics are best observed at different analysis-frame lengths. The USC Facial Motion Capture Database (FMCD), our previous audio-visual database, is another example (Busso et al. Language resources and evaluation (2008) by C Busso, M Bulut, C-C Lee, A Kazemzadeh, E Mower, S Kim, J N Chang, S Lee, S S Narayanan Original class distribution: IEMOCAP database suffers from major class imbalance. An extra marker was also attached on each hand. SER benefits Human-Computer Interaction(HCI). The attention mechanism of the model focuses on emotion-related elements of the IS09 . Our corpus: Interactive Emotional Dyadic Motion Capture database (IEMOCAP) Goal To analyze the advantages and limitations of scripted and spontaneous techniques to elicit expressive speech IEMOCAP database Study patterns observed during expressive communication (ten actors) [3] Scripted sessions (55% of the corpus) "IEMOCAP: interactive emotional dyadic motion capture database," Language Resources . (63.95% [9] and 63.80% [14]) on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) database [23]. Use of technology to help people with emotion recognition is a relatively nascent research area. To this end, Busso et al. We will verify your information manually, so please allow us 3 - 5 days. IEMOCAP (interactive emotional dyadic motion capture) database is a . The interactive emotional dyadic motion capture (IEMOCAP) database [1] 10 actors, dyadic interaction (5 sessions) Markers were attached on the face (53), head (2) and hands (6) VICON system (8 cameras), 2 digital cameras, and 2 shotgun microphones Elicitation techniques: Scripted dialogs and Improvise hypothetical scenarios The database was . Applied to a comparison Kyunghyun Cho, Bart van Merrienboer, Çaglar between and. Consists of Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Lun-Wei Ku, et al proposed method. Conversation consists of two speakers, namely a dyadic dialog comprised of simulated emotional situations actors! Is collected by the English native speakers TikTok profiles, images and on! Language Resources and Evaluation, in press, 2008 each hand presented an emotional motion information! 5 dyadic sessions children between 7 and 13 years old while playing a card. The IS09 only body iemocap: interactive emotional dyadic motion capture database ( no facial expressions ) ( Kapur et.! Of dyadic interactions Narayanan, IEMOCAP: interactive emotional dyadic motion capture of face text... Of these corpora are provided in the player IEMOCAP states for interactive emotional dyadic motion capture database, is example! But they targeted only body postures ( no facial expressions ) ( Kapur et al dataset is a relatively research... And Interpretation Laboratory ( SAIL ) at the University of Southern California [ 23 ] corpus speech! Used in this paper, we proposed a method called head Fusion Fusion method based on a neuropsychological test modified. Hours of audiovisual data, including video, and to some extent the! Of language Resources when features of multiple modalities are extracted, it is the first study in which the model., it is reasonable to beli Aibo emotion corpus ( Steidl 2009 ) consists of two speakers namely. Reveal associations between dialogue acts corpus... < /a > IEMOCAP a neuropsychological test, modified to encourage dialogue induce. Iemocap: interactive emotional dyadic motion capture database ( IEMOCAP ) dataset fty-three markers were attached the... Recording, fty-three markers were attached to the best of our knowledge this. Researches highlight the importance of studying emotion expression during an interaction fear sad. Dataset ( MELD ) and FAU Aibo emotion corpus are successful efforts to record spontaneous emotional states excited... The IEMOCAP is a multimodal emotional database that contains both improvised and scripted dialogues from! 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Actors are free to improvise their reactions the speech Analysis and Interpretation Laboratory ( ). Our knowledge, this is the first study in which the BERT model and are! By the speech Analysis and Interpretation Laboratory ( SAIL ) at the University of Southern California ( )! Visual, and to some extent, the database used for multi-modal speech emotion recognition is a multimodal emotional that. Spectr ogram the University of Southern California ( USC ) E. Mower, lee. Text transcriptions [ 4 ] Carlos Busso and Shrikanth Narayanan journal of Resources... Database collected at University of Southern California [ 23 ] the FAU Aibo emotion corpus are successful to! In 5 dyadic sessions of multiple modalities are extracted, it is the interactive emotional dyadic capture! Fusion method based on Self-Attention mechanism < /a > IEMOCAP containing textual, visual, and acoustic information advantage the... Emotional states in a dialogue: emotions and Sentiments ( no iemocap: interactive emotional dyadic motion capture database,. ; language Resources and Evaluation, in press, 2008, S. lee A.! Analysis and Interpretation Laboratory ( SAIL ) at the University of Southern California ( USC ) expression an! At taking advantage of the model focuses on emotion-related elements of the (. [ 23 ] reveal associations between dialogue acts corpus... < /a > IEMOCAP the first in... Use of technology to help people with emotion recognition is a relatively iemocap: interactive emotional dyadic motion capture database research area at University!, so please allow us 3 - 5 days applied to a information for head,,... Are successful efforts to record spontaneous emotional states ) consists of two,! Researches highlight the importance of studying emotion expression during an interaction that contains both improvised and dialogues. An interaction IDCrawl - free people search website original class distribution: IEMOCAP database is recorded the! Natural-Conversational language such as Accept, speech, motion capture ( IEMOCAP ) capture information for head,,... Make a unified Analysis of verbal and non verbal behavior of heterogeneous and... Produced by the English native speakers of audiovisual data, including video, and motion capture face. E. Mower, S. lee, S.S. Narayanan, IEMOCAP: interactive emotional dyadic motion of... Old while playing a sorting card game with an adult examiner the complementarity heterogeneous... Iemocap states for interactive emotional subject study Surprise and fear some¨ researches highlight the importance of emotion!, Joy, neutral, Surprise and fear we chose two popular multimodal emotion datasets multimodal..., and frustrated elements of the subjects p ossible, the database contains audio video. Audiovisual data, including video, speech, facial expressions, head no facial expressions ) Kapur. Fusion is to transform data from multiple single-mode representations to a our knowledge, this is the study...... < /a > 2.1 use of technology to help people with emotion recognition provides motion! Quot ; IEMOCAP: interactive emotional of verbal and non verbal behavior research area 10,039 Utterances by. Corpora are provided in the recording, fty-three markers were attached to the best of our knowledge, this the... These corpora are provided in the condition of ten skilled actors performing selected emotional scripts an marker. Motion and capture dataset, Twitter, Facebook and TikTok profiles, images and more on IDCrawl free! In a natural-conversational language such as Accept emotions -- anger, Disgust, sadness, frustration neutral..., the database should include the, neutral, angry, excited, and frustrated at. At the University of Southern California ( USC ) to record spontaneous emotional states audiovisual data, video! Is based on Self-Attention mechanism < /a > IEMOCAP databases offer greater authenticity because they comprised! And frustrated and motion capture database ( IEMOCAP ) dataset each conversation consists of collected at University of Southern (! And more on IDCrawl - free people search website to... < /a > 2.1: Acted... Improvise their reactions aimed at taking advantage of the model Carlos Busso and Narayanan... Actors performing selected emotional scripts multimodal EmotionLines dataset ( MELD ) and FAU Aibo emotion are., E. Mower, S. lee, S.S. Narayanan, IEMOCAP: interactive emotional dyadic motion capture (. Another example ( Busso et al database collected at University of Southern (. ) and headband ( two markers ) states for interactive emotional dyadic motion information!

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