Emotion recognition system using short-term monitoring of physiological signals

Kim, K. H., Bang, S. W., Kim, S. R.·2004·Medical & Biological Engineering & Computing

Cited by (936)

Items 101–200 of 936

  1. Emotion recognition and its application in software engineering
    Agata Kołakowska, Agnieszka Landowska, Mariusz Szwoch, Wioleta Szwoch, Michał R. Wróbel · 2013 · Conference on Human System Interactions
  2. Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity
    Rajamanickam Yuvaraj, M. Murugappan, Norlinah Mohamed Ibrahim, Kenneth Sundaraj, Mohd Iqbal Omar, Khairiyah Mohamad, Ramaswamy Palaniappan · 2014 · Biomedical Signal Processing and Control
  3. Support vector machine for EEG signal classification during listening to emotional music
    Yuan‐Pin Lin, Chi‐Hong Wang, Tien-Lin Wu, Shyh‐Kang Jeng, Jyh‐Horng Chen · 2008 · IEEE International Workshop on Multimedia Signal Processing (MMSP)
  4. A wavelet-based approach to emotion classification using EDA signals
    Huanghao Feng, Hosein M. Golshan, Mohammad H. Mahoor · 2018 · Expert Systems with Applications
  5. An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data
    Mohsen Nabian, Yu Yin, Jolie Baumann Wormwood, Karen S. Quigley, Lisa Feldman Barrett, Sarah Ostadabbas · 2018 · IEEE Journal of Translational Engineering in Health and Medicine
  6. Automated sensing of daily activity: A new lens into development
    Kaya de Barbaro · 2019 · Developmental Psychobiology
  7. Emotion Recognition From Gait Analyses: Current Research and Future Directions
    Shihao Xu, Jing Fang, Xiping Hu, Edith C.‐H. Ngai, Wei William Wang, Yi Guo, Victor C. M. Leung · 2022 · IEEE Transactions on Computational Social Systems
  8. Towards Effective Music Therapy for Mental Health Care Using Machine Learning Tools: Human Affective Reasoning and Music Genres
    Jessica Sharmin Rahman, Tom Gedeon, Sabrina Caldwell, Richard Jones, Zi Jin · 2020 · Journal of Artificial Intelligence and Soft Computing Research
  9. Automated Facial Expression Classification and affect interpretation using infrared measurement of facial skin temperature variations
    Masood Mehmood Khan, Michael Ingleby, Robert DeC. Ward · 2006 · ACM Transactions on Autonomous and Adaptive Systems
  10. Towards an EEG-based emotion recognizer for humanoid robots
    Kristina Schaaff, Tanja Schultz · 2009 · IEEE RO-MAN
  11. Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
    S. Jerritta, M. Murugappan, Wan Khairunizam, Sazali Yaacob · 2013 · Journal of the Chinese Institute of Engineers
  12. A User Independent, Biosignal Based, Emotion Recognition Method
    George Rigas, Christos D. Katsis, George Ganiatsas, Dimitrios I. Fotiadis · 2007 · Lecture notes in computer science
  13. Occupant-Facade interaction: a review and classification scheme
    Alessandra Luna-Navarro, Roel Loonen, Miren Juaristi, Aurora Monge-Barrio, Shady Attia, Mauro Overend · 2020 · Building and Environment
  14. Memory consolidation reconfigures neural pathways involved in the suppression of emotional memories
    Yunzhe Liu, Wanjun Lin, Chao Liu, Yuejia Luo, Jianhui Wu, Peter J. Bayley, Shaozheng Qin · 2016 · Nature Communications
  15. Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion
    Eman M. G. Younis, Someya Mohsen Zaki, Eiman Kanjo, Essam Halim Houssein · 2022 · Sensors
  16. FLIRT: A feature generation toolkit for wearable data
    Simon Föll, Martin Maritsch, Federica Spinola, Varun Mishra, Filipe Barata, Tobias Kowatsch, Elgar Fleisch, Felix Wortmann · 2021 · Computer Methods and Programs in Biomedicine
  17. Automatic Recognition of Boredom in Video Games Using Novel Biosignal Moment-Based Features
    Dimitrios Giakoumis, Dimitrios K. Tzovaras, Konstantinos Moustakas, George D. Hassapis · 2011 · IEEE Transactions on Affective Computing
  18. Emotion detection and recognition using HRV features derived from photoplethysmogram signals
    Raj Rakshit, Vempada Ramu Reddy, Parijat Deshpande · 2016
  19. An empirical study of machine learning techniques for affect recognition in human-robot interaction
    Changchun Liu, P. Rani, Nilanjan Sarkar · 2005 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  20. Comparative analysis of emotion estimation methods based on physiological measurements for real-time applications
    Kukolja, Davor, Popović, Siniša, Horvat, Marko, Kovač, Bernard, Ćosić, Krešimir · 2014 · International Journal of Human-Computer Studies
  21. A Review on Human Comfort Factors, Measurements, and Improvements in Human–Robot Collaboration
    Yuchen Yan, Yunyi Jia · 2022 · Sensors
  22. Physiological Detection of Affective States in Children with Autism Spectrum Disorder
    Sarah Sarabadani, Larissa C. Schudlo, Ali Samadani, Azadeh Kushki · 2018 · IEEE Transactions on Affective Computing
  23. A Model for EEG-Based Emotion Recognition: CNN-Bi-LSTM with Attention Mechanism
    Zhentao Huang, Yahong Ma, Rongrong Wang, Weisu Li, Yongsheng Dai · 2023 · Electronics
  24. Oscillations of Heart Rate and Respiration Synchronize During Affective Visual Stimulation
    Gaetano Valenza, Antonio Lanatà, Enzo Pasquale Scilingo · 2012 · IEEE Transactions on Information Technology in Biomedicine
  25. Happy-anger emotions classifications from electrocardiogram signal for automobile driving safety and awareness
    Khairun Nisa’ Minhad, Sawal Hamid Md Ali, Mamun Bin Ibne Reaz · 2017 · Journal of Transport & Health
  26. Increasing Helpfulness towards a Robot by Emotional Adaption to the User
    Barbara Kühnlenz, Stefan Sosnowski, Malte Buß, Dirk Wollherr, Kolja Kühnlenz, MARTIN J. BUSS · 2013 · International Journal of Social Robotics
  27. Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition
    Michalis Papakostas, Evaggelos Spyrou A, Θεόδωρος Γιαννακόπουλος, Giorgos Siantikos, Dimitrios Sgouropoulos, Phivos Mylonas B, Fillia S. Makedon · 2017 · Computation
  28. Support Vector Machines to Define and Detect Agitation Transition
    George E. Sakr, Imad H. Elhajj, Huda Huijer Abu‐Saad · 2010 · IEEE Transactions on Affective Computing
  29. A wearable system for the affective monitoring of car racing drivers during simulated conditions
    Christos D. Katsis, Yorgos Goletsis, George Rigas, D.I. Fotiadis · 2010 · Transportation Research Part C Emerging Technologies
  30. Hybrid video emotional tagging using users’ EEG and video content
    Shangfei Wang, Yachen Zhu, Guobing Wu, Qiang Ji · 2013 · Multimedia Tools and Applications
  31. Lifting scheme for human emotion recognition using EEG
    M. Murugappan, Mohamed Rizon, R. Nagarajan, Sazali Yaacob, I Zunaidi, Hazry Desa · 2008 · International Symposium on Information Technology
  32. Implicit emotional tagging of multimedia using EEG signals and brain computer interface
    Ashkan Yazdani, Jong‐Seok Lee, Touradj Ebrahimi · 2009
  33. EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion
    Heng Cui, Aiping Liu, Xu Zhang, Xiang 'Anthony' Chen, Jun Liu, Xun Chen · 2022 · IEEE Transactions on Affective Computing
  34. Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving
    Jing Yang, Nade Liang, Brandon J. Pitts, Kwaku O. Prakah-Asante, Reates Curry, Mike Blommer, Radhakrishnan Swaminathan, Denny Yu · 2023 · IEEE Transactions on Human-Machine Systems
  35. Emotion Recognition Involving Physiological and Speech Signals: A Comprehensive Review
    Mouhannad Ali, Ahmad Haj Mosa, Fadi Al Machot, Kyandoghere Kyamakya · 2017 · Studies in systems, decision and control
  36. Multimodal biosignal sensor data handling for emotion recognition
    Filipe Canento, Ana L. N. Fred, Hugo Silva, Hugo Filipe Silveira Gamboa, André Lourenço · 2011 · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ...
  37. Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training
    Qiang Zhang, Baoxin Li · 2014 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  38. Combining Spatial Filtering and Wavelet Transform for Classifying Human Emotions Using EEG Signals
    M. Murugappan, Ramachandran Nagarajan, Sazali Yaacob · 2011 · Journal of Medical and Biological Engineering
  39. A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health
    Talha Iqbal, Pau Redon-Lurbe, Andrew J. Simpkin, Adnan Elahi, Sandra Ganly, William C. Wijns, Atif Shahzad · 2021 · IEEE Access
  40. Comparison of different wavelet features from EEG signals for classifying human emotions
    M. Murugappan, R. Nagarajan, Sazali Yaacob · 2009 · IEEE Symposium on Industrial Electronics & Applications (ISIEA)
  41. Discrete Wavelet Transform coefficients for emotion recognition from EEG signals
    R. E. J. Yohanes, Wee Ser, Guang-Bin Huang · 2012 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  42. Human-Robot Interaction
    1992
  43. Machine learning model for mapping of music mood and human emotion based on physiological signals
    Anupam Garg, Vybhav Chaturvedi, Arman Beer Kaur, Vedansh Varshney, Anshu Parashar · 2022 · Multimedia Tools and Applications
  44. Multilayer perceptron for EEG signal classification during listening to emotional music
    Yuan‐Pin Lin, Chi‐Hong Wang, Tien-Lin Wu, Shyh‐Kang Jeng, Jyh‐Horng Chen · 2007 · IEEE Region 10 Conference (TENCON)
  45. Acute Physical Activity on Cognitive Function: A Heart Rate Variability Examination
    Nicholas P. Murray, Carmen Russoniello · 2012 · Applied Psychophysiology and Biofeedback
  46. EMOTIONAL STRESS RECOGNITION SYSTEM FOR AFFECTIVE COMPUTING BASED ON BIO-SIGNALS
    Seyyed Abed Hosseini, Mohammad Ali Khalilzadeh, Sahar Changiz · 2010 · Journal of Biological Systems
  47. Stress Reduction Using Bilateral Stimulation in Virtual Reality
    Dorota Kamińska, Krzysztof Smółka, Grzegorz Zwoliński, Sl§awomir Wiak, Dorota Merecz‐Kot, Gholamreza Anbarjafari · 2020 · IEEE Access
  48. A Multimodal Framework for Large-Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
    Guanghao Yin, Shouqian Sun, Dian Yu, Dejian Li, Kejun Zhang · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
  49. USING BRAIN–COMPUTER INTERFACES TO DETECT HUMAN SATISFACTION IN HUMAN–ROBOT INTERACTION
    Ehsan T. Esfahani, V. Sundararajan · 2011 · International Journal of Humanoid Robotics
  50. Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals
    Varun Bajaj, Ram Bilas Pachori · 2014 · Intelligent systems reference library
  51. Toward User-Independent Emotion Recognition Using Physiological Signals
    Amani Abdulrahman Albraikan, Diana P. Tobón, Abdulmotaleb El Saddik · 2018 · IEEE Sensors Journal
  52. The potential of photoplethysmogram and galvanic skin response in emotion recognition using nonlinear features
    Atefeh Goshvarpour, Ateke Goshvarpour · 2019 · Physical and Engineering Sciences in Medicine
  53. A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition
    Dian Yu, Shouqian Sun · 2020 · Information
  54. A User-Modeling Approach to Build User's Psycho-Physiological Maps of Emotions using Bio-Sensors
    Olivier Villon, Christine Lisetti · 2006 · IEEE RO-MAN
  55. Emotion detection using brain and peripheral signals
    Zahra Khalili, Mohammad Hassan Moradi · 2008 · Cairo International Biomedical Engineering Conference
  56. PhysioHMD
    Guillermo Bernal, Tao Yang, Abhinandan Jain, Pattie Maes · 2018 · ACM International Symposium on Wearable Computers (ISWC)
  57. An emotional adaption approach to increase helpfulness towards a robot
    Barbara Gonsior, Stefan Sosnowski, Malte Buß, Dirk Wollherr, Kolja Kühnlenz · 2012 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  58. Developing a Physiological Signal-Based, Mean Threshold and Decision-Level Fusion Algorithm (PMD) for Emotion Recognition
    Qiuju Zhang, Hongtao Zhang, Keming Zhou, Le Zhang · 2023 · Tsinghua Science & Technology
  59. Physiological Signals and Their Use in Augmenting Emotion Recognition for Human–Machine Interaction
    R. Benjamin Knapp, Jonghwa Kim, Elisabeth André · 2010 · Cognitive technologies
  60. Wearable Mobile-Based Emotional Response-Monitoring System for Drivers
    Boon Giin Lee, Teak Wei Chong, Boon Leng Lee, Hee Joon Park, Yoon Nyun Kim, Beom Joon Kim · 2017 · IEEE Transactions on Human-Machine Systems
  61. Towards Real-Time Recognition of Users Mental Workload Using Integrated Physiological Sensors Into a VR HMD
    Tiffany Luong, Nicolas Martin, Anais Raison, Ferran Argelaguet, Jean-Marc Diverrez, Anatole Lécuyer · 2020 · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR
  62. Human Robot Interaction
    David Feil-Seifer, Maja J. Matarić · 2009 · Springer eBooks
  63. Emotion recognition with consideration of facial expression and physiological signals
    Chuan‐Yu Chang, Jeng-Shiun Tsai, Chi‐Jane Wang, Pau‐Choo Chung · 2009 · IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
  64. Electrocardiogram‐based emotion recognition system using empirical mode decomposition and discrete Fourier transform
    S. Jerritta, M. Murugappan, Wan Khairunizam, Sazali Yaacob · 2013 · Expert Systems
  65. EngageMon
    Sinh Huynh, Seungmin Kim, JeongGil Ko, Rajesh Krishna Balan, Youngki Lee · 2018 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  66. Virtual reality sickness detection: an approach based on physiological signals and machine learning
    Nicolas Martin, Nicolas Mathieu, Nico Pallamin, Martin Ragot, Jean-Marc Diverrez · 2020 · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR
  67. A Review of Biophysiological and Biochemical Indicators of Stress for Connected and Preventive Healthcare
    Talha Iqbal, Adnan Elahi, Pau Redón, Patricia Vazquez, William C. Wijns, Atif Shahzad · 2021 · Diagnostics
  68. Physiological emotion analysis using support vector regression
    Chuan‐Yu Chang, Pau‐Choo Chung, Jun-Ying Zheng, Pau‐Choo Chung · 2013 · Neurocomputing
  69. Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality
    Md Nazmus Sakib, Theodora Chaspari, Amir H. Behzadan · 2020 · Journal of Computing in Civil Engineering
  70. From the lab to the real-world: An investigation on the influence of human movement on Emotion Recognition using physiological signals
    Yaqian Xu, Isabel Hübener, Ann-Kathrin Seipp, Sandra Ohly, Klaus David · 2017 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  71. Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection
    Joris H. Janssen, Paul Tacken, Gert-Jan de Vries, Egon L. van den Broek, Joyce H. D. M. Westerink, Pim Haselager, Wijnand A. IJsselsteijn · 2013 · Human-Computer Interaction
  72. Psychophysiological Methods to Evaluate User’s Response in Human Robot Interaction: A Review and Feasibility Study
    Lorenza Tiberio, Amedeo Cesta, Marta Olivetti Belardinelli · 2013 · Robotics
  73. Emotion Recognition Using Physiological and Speech Signal in Short-Term Observation
    Jonghwa Kim, Elisabeth André · 2006 · Lecture notes in computer science
  74. Electromyogram signal based human emotion classification using KNN and LDA
    M. Murugappan · 2011 · IEEE International Conference on System Engineering and Technology (ICSET)
  75. Affective negotiation support systems
    Joost Broekens, Catholijn M. Jonker, John‐Jules Ch. Meyer · 2010 · Journal of Ambient Intelligence and Smart Environments
  76. Frequency Band Analysis of Electrocardiogram (ECG) Signals for Human Emotional State Classification Using Discrete Wavelet Transform (DWT)
    M. Murugappan, Subbulakshmi Murugappan, Bong Siao Zheng · 2013 · Journal of Physical Therapy Science
  77. EEG-based emotion classification using convolutional neural network
    Han Mei, Xiangmin Xu · 2017 · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
  78. Emotion recognition in response to traditional and tactile enhanced multimedia using electroencephalography
    Aasim Raheel, Syed Muhammad Anwar, Muhammad Majid · 2018 · Multimedia Tools and Applications
  79. Feature extraction and dynamic identification of drivers’ emotions
    Xiaoyuan Wang, Yaqi Liu, Fang Wang, Jianqiang Wang, Liping Liu, Jingheng Wang · 2019 · Transportation Research Part F Traffic Psychology and Behaviour
  80. Toward Automatic Anxiety Detection in Autism: A Real-Time Algorithm for Detecting Physiological Arousal in the Presence of Motion
    Akshay Puli, Azadeh Kushki · 2019 · IEEE Transactions on Biomedical Engineering
  81. An Experimental Study on Physiological Parameters Toward Driver Emotion Recognition
    H. Leng, Yingzi Lin, L. A. Zanzi · 2007 · Lecture notes in computer science
  82. Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged poincare plots
    Goshvarpour, Atefeh, Abbasi, Ataollah, Goshvarpour, Ateke · 2017 · Australasian Physical & Engineering Sciences in Medicine
  83. Analysis of EEG entropy during visual evocation of emotion in schizophrenia
    Wen-Lin Chu, Min-Wei Huang, Bo‐Lin Jian, Kuo‐Sheng Cheng · 2017 · Annals of General Psychiatry
  84. Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study
    Rajamanickam Yuvaraj, M. Murugappan, Norlinah Mohamed Ibrahim, Mohd Iqbal Omar, Kenneth Sundaraj, Khairiyah Mohamad, Ramaswamy Palaniappan, M. Satiyan · 2014 · Journal of Integrative Neuroscience
  85. Affective signal processing (ASP) : unraveling the mystery of emotions
    Egon L. van den Broek · 2011
  86. Neural-signal electroencephalogram (EEG) methods to improve human-building interaction under different indoor air quality
    Xin Jian Shan, En‐Hua Yang, Jin Zhi Zhou, Victor W.-C. Chang · 2019 · Energy and Buildings
  87. EEG emotion recognition based on the TimesNet fusion model
    Luyao Han, Xiangliang Zhang, Jibin Yin · 2024 · Applied Soft Computing
  88. Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder (ASD): A Systematic Literature Review
    Sandra Patricia Cano, Claudio Cubillos, Rodrigo Alfaro, Andrés Romo, Matías García, Fernando Moreira · 2024 · Sensors
  89. The influence of driver’s mood on car following and glance behaviour: Using cognitive load as an intervention
    Tatjana Zimasa, S. Jamson, B. Henson · 2019 · Transportation Research Part F: Traffic Psychology and Behaviour
  90. A Novel Middleware Solution to Improve Ubiquitous Healthcare Systems Aided by Affective Information
    Tarik Taleb, Dario Bottazzi, Nidal Nasser · 2010 · IEEE Transactions on Information Technology in Biomedicine
  91. Language anxiety in the immigrant context: Sweaty palms?
    Yeşim Sevinç · 2017 · International Journal of Bilingualism
  92. A review on sentiment discovery and analysis of educational big‐data
    Zhongmei Han, Jiyi Wu, Changqin Huang, Qionghao Huang, Meihua Zhao · 2019 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  93. The Influence of Emotion on Keyboard Typing: An Experimental Study Using Auditory Stimuli
    Po-Ming Lee, Wei-Hsuan Tsui, Tzu‐Chien Hsiao · 2015 · PLoS ONE
  94. Effect of Experimental Factors on the Recognition of Affective Mental States through Physiological Measures
    Rafael A. Calvo, Iain Brown, Steve Scheding · 2009 · Lecture notes in computer science
  95. Investigating Implicit Cues for User State Estimation in Human-Robot Interaction Using Physiological Measurements
    Emily Mower, David Feil-Seifer, Maja J. Matarić, Shrikanth S. Narayanan · 2007 · IEEE RO-MAN
  96. Short-term analysis of heart rate variability for emotion recognition via a wearable ECG device
    Han Wen Guo, Yu Shun Huang, Jen Chien Chien, Jiann Shing Shieh · 2015 · International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
  97. Affect recognition based on physiological changes during the watching of music videos
    Ashkan Yazdani, Jong‐Seok Lee, Jean-Marc Vésin, Touradj Ebrahimi · 2012 · ACM Transactions on Interactive Intelligent Systems
  98. Toward multimodal fusion of affective cues
    Marco Paleari, Christine Lisetti · 2006
  99. Investigating the relationship between mental state (workload and affect) and physiology in a control room setting (ship bridge simulator)
    Andreas Simskar Wulvik, Henrikke Dybvik, Martin Steinert · 2019 · Cognition Technology & Work
  100. Avoidance of negative emotional contrast from worry and rumination: An application of the Contrast Avoidance Model
    Hanjoo Kim, Michelle Gayle Newman · 2022 · Journal of Behavioral and Cognitive Therapy