86 Hits in 7.0 sec

The brain's response to pleasant touch: an EEG investigation of tactile caressing

Harsimrat Singh, Markus Bauer, Wojtek Chowanski, Yi Sui, Douglas Atkinson, Sharon Baurley, Martin Fry, Joe Evans, Nadia Bianchi-Berthouze
2014 Frontiers in Human Neuroscience  
states from simple electroencephalographic measurements.  ...  Importantly, when using single trial classification techniques, beta-power significantly distinguished between pleasant and unpleasant stimulation on a single trial basis with high accuracy.  ...  In previous research, visual and auditory stimuli (facial recognition, movie clips, or music fragments) have been successfully used to decode the emotional state (Balconi and Lucchiari, 2006; Yuan-Pin  ... 
doi:10.3389/fnhum.2014.00893 pmid:25426047 pmcid:PMC4226147 fatcat:c54kkrxq2nhu7pyglh5vc4yffm

MindSpaces: Art-driven adaptive outdoors and indoors design

Petros Alvanitopoulos, Sotiris Diplaris, Beatrice De Gelder, Alexander Shvets, Maurice Benayoun, Panagiota Koulali, Ayman Moghnieh, Yash Shekhawat, Christos Stentoumis, Tyson Hosmer, Refik Anadol, Marta Borreguero (+21 others)
2019 Zenodo  
This is a project paper accepted for publication in Ninth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage — DiPP2019, Burgas, Bulgaria, 26–28 September  ...  service aims to develop Electroencephalographic (EEG) and physiological signal processing algorithms.  ...  The proposal is to work on the themes of emotional support and affective state.  ... 
doi:10.5281/zenodo.3518904 fatcat:56hiwlpqrrcipkoezhvmgk7f6q

Wearable Affective Robot [article]

Min Chen, Jun Zhou, Guangming Tao, Jun Yang, Long Hu
2018 arXiv   pre-print
understand the behavioral motivation behind the user's emotion.  ...  Here, a wearable affective robot that integrates the affective robot, social robot, brain wearable, and wearable 2.0 is proposed for the first time.  ...  the change and transformation of the user's emotional state in a certain situation, which makes a Fitbot more intelligent.  ... 
arXiv:1810.10743v1 fatcat:wu7po6buirahpe436twiuhwvpu

Individual Stable Patterns of Human Brain Rhythms as a Reflection of Mental Processes

G.A. Ivanitsky
2019 Sovremennye tehnologii v medicine  
The developed methods for distinguishing between different mental states and for creating mental space maps have found their practical use including that in medicine.  ...  When consciousness is depressed, the emotional-sensory spaces reflect rather the physical properties (and not the emotional content) of the stimuli presented to patients.  ...  The emotional stimuli were presented in various sensory modalities: olfactory, tactile, audial, and visual.  ... 
doi:10.17691/stm2019.11.1.14 fatcat:deocidbdrndarci6aclkqputiq

Spatio temporal media components for neurofeedback

Camilla B. Falk Jensen, Michael Kai Petersen, Jakob Eg Larsen, Arkadiuzs Stopczynski, Carsten Stahlhut, Marieta Georgieva Ivanova, Tobias Andersen, Lars Kai Hansen
2013 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)  
For instance, examining emotional responses to pleasant and unpleasant media content from brain activity, reveals the large amount of data and extensive analysis required to apply this to future personal  ...  This leads to identification of underlying audio, visual and haptic feedback components, which combined may support the underlying interaction within personal informatics.  ...  We thank the reviewers for many useful comments and suggestions.  ... 
doi:10.1109/icmew.2013.6618362 dblp:conf/icmcs/JensenPLSSIAH13 fatcat:6mkz63nyijasdcf3ry2cizoddq

Multi-modal Affect Induction for Affective Brain-Computer Interfaces [chapter]

Christian Mühl, Egon L. van den Broek, Anne-Marie Brouwer, Femke Nijboer, Nelleke van Wouwe, Dirk Heylen
2011 Lecture Notes in Computer Science  
We discuss the implications of these results for multi-modal aBCI.  ...  Reliable applications of affective brain-computer interfaces (aBCI) in realistic, multi-modal environments require a detailed understanding of the processes involved in emotions.  ...  The authors gratefully acknowledge the support of the BrainGain Smart Mix Programme of the Netherlands Ministry of Economic Affairs and the Netherlands Ministry of Education, Culture, and Science.  ... 
doi:10.1007/978-3-642-24600-5_27 fatcat:b622q3sfnndbjnmskfhtpllale

Affective Brain-Computer Interfaces [chapter]

Rafael Calvo, Sidney D'Mello, Jonathan Gratch, Arvid Kappas, Christian Mühl, Dirk Heylen, Anton Nijholt
2015 The Oxford Handbook of Affective Computing  
The workshop explored the advantages and limitations of using neurophysiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this  ...  The topics we have explored in this particular workshop are: * emotion elicitation and data collection for affective BCI * detection of affect and mental state via BCI and other modalities * adaptive interfaces  ...  The Virtual Guide responds using spoken language and gestures, and can also show things on the map.  ... 
doi:10.1093/oxfordhb/9780199942237.013.024 fatcat:oia3yvk7hbf7ta6magl6bzjx6u

Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature

Eulália Silva dos Santos Pinheiro, Fernanda Costa de Queirós, Pedro Montoya, Cleber Luz Santos, Marion Alves do Nascimento, Clara Hikari Ito, Manuela Silva, David Barros Nunes Santos, Silvia Benevides, José Garcia Vivas Miranda, Katia Nunes Sá, Abrahão Fontes Baptista (+1 others)
2016 PLoS ONE  
The main objective of this study is to review and summarize recent findings on electroencephalographic patterns in individuals with chronic pain.  ...  This review suggests that qEEG could be considered as a simple and objective tool for the study of brain mechanisms involved in chronic pain, as well as for identifying the specific characteristics of  ...  287 a International Association for the Study of Pain b American College of Rheumatology's criteria c International Headache Society's classification d Marseille and Cambridge Classification System  ... 
doi:10.1371/journal.pone.0149085 pmid:26914356 pmcid:PMC4767709 fatcat:kat2ssic6vf4pjkz625shtgvna

Emotion-sensitive voice-casting care robot in rehabilitation using real-time sensing and analysis of biometric information

Peeraya Sripian, Muhammad Nur Adilin Mohd Anuardi, Teppei Ito, Yoshito Tobe, Midori Sugaya
2021 Journal of Ambient Intelligence and Smart Environments  
As for non-cognitive approaches, there is an emotional estimation of non-verbal information.  ...  In this study, we focus on the characteristics of real-time sensing of emotion through heart rates – unconsciously evaluating what a person experiences – and applying it to select the appropriate turn  ...  has been used in several studies to measure physiological stress and emotional state classification for robotics application [33] [34] [35] [36] .  ... 
doi:10.3233/ais-210614 fatcat:7yqxmbutongqra2xfr5eujwxji

Pictures of social interaction prompt a sustained increase of the smile expression and induce sociability

Bruna Eugênia Ferreira Mota, Paula Ohana Rodrigues, Kíssyla Christine Duarte Lacerda, Isabel Antunes David, Eliane Volchan, Rafaela Ramos Campagnoli, Gabriela Guerra Leal Souza
2021 Scientific Reports  
supercilii muscles) and mood states.  ...  In study 1 and study 2, participants also completed mood states questionnaires to assess sociability and altruistic behavior.  ...  Personnel, Brazil (CAPES), Financing Code 001; the Federal University of Ouro Preto -Brazil (UFOP); and the Foundation for Research Support of the State of Rio de Janeiro (FAPERJ).  ... 
doi:10.1038/s41598-021-84880-9 pmid:33750836 pmcid:PMC7943771 fatcat:hag2egzvizdyphsvz25n5lp3ni

Emotional Transfer in Human-Horse Interaction: New Perspectives on Equine Assisted Interventions

Chiara Scopa, Laura Contalbrigo, Alberto Greco, Antonio Lanatà, Enzo Pasquale Scilingo, Paolo Baragli
2019 Animals  
emotional states.  ...  to the emotional states of subjects involved.  ...  quickly detect intentions and emotional states.  ... 
doi:10.3390/ani9121030 pmid:31779120 pmcid:PMC6941042 fatcat:da2oy5njfjfpnetu4wooy4nx7y

Strategies to manage patients with dental anxiety and dental phobia: literature review

Devapriya Appukuttan
2016 Clinical, Cosmetic and Investigational Dentistry  
biofeedback, hypnosis, acupuncture, distraction, positive reinforcement, stop-signaling, and exposure-based treatments, such as systematic desensitization, "tell-show-do", and modeling.  ...  Cognitive behavior therapy is a combination of behavior therapy and cognitive therapy, and is currently the most accepted and successful psychological treatment for anxiety and phobia.  ...  electroencephalographic biofeedback are commonly used for reducing anxiety.  ... 
doi:10.2147/ccide.s63626 pmid:27022303 pmcid:PMC4790493 fatcat:cxlnewtkvvcdxdky5rbar5b5ey


Aia Haruvi, Ronen Kopito, Noa Brande-Eilat, Shai Kalev, Eitan Kay, Dan Furman
2021 bioRxiv   pre-print
While performing tasks on a tablet, participants wore headphones and brain signals were recorded using a portable electroencephalography headband.  ...  We also found that focus levels can be predicted from physical properties of sound, enabling human and artificial intelligence composers to test and refine audio to produce increases or decreases in listener  ...  ACKNOWLEDGEMENTS This work was supported by Warner Music, Sony, Endel, and Universal Music who provided sounds, data, financial support and through communication with the authors at Arctop, a for-profit  ... 
doi:10.1101/2021.04.02.438269 fatcat:finjgahstbcndkegqdgr5ddfhm

Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches

Sebastien Rimbert, Laurent Bougrain, Stephanie Fleck
2020 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
based on the notion of progressiveness and (ii) a second one where the learners are alone and practice by trial and error.  ...  Our findings based on EEG analyses and subjective questionnaires validate the design of the Grasp-IT BCI and opens up perspectives on KMI learning modalities.  ...  For each session, we collected 40 trials for both mental states (KMI and resting state). The training was performed using a CSP filter and a linear discriminant analysis (LDA).  ... 
doi:10.1109/smc42975.2020.9283225 fatcat:dztrcfnssbgslmnuko4bvdan3a

Leaving Body and Life Behind [chapter]

Olaf Blanke, Nathan Faivre, Sebastian Dieguez
2016 The Neurology of Conciousness  
To what extent are interoceptive bodily signals themselves relevant for bodily self-consciousness, and how do they interact with external bodily signals?  ...  state, minimally conscious states).  ... 
doi:10.1016/b978-0-12-800948-2.00020-0 fatcat:tu4alkptxfbt7mbtxqsb7mthiu
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