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Exploration of User's Mental State Changes during Performing Brain–Computer Interface

Li-Wei Ko, Rupesh Kumar Chikara, Yi-Chieh Lee, Wen-Chieh Lin
2020 Sensors  
Substantial developments have been established in the past few years for enhancing the performance of braincomputer interface (BCI) based on steady-state visual evoked potential (SSVEP).  ...  These results show how mental state changes affect the performance of BCI users. In this work, we developed a new scenario to recognize the user's cognitive state during performing BCI tasks.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20113169 pmid:32503162 pmcid:PMC7308896 fatcat:5dalex4zjfbffbhk375772hj3a

Adaptive brain-computer interface

Audrey Girouard
2009 Proceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09  
Passive brain-computer interfaces are designed to use brain activity as an additional input, allowing the adaptation of the interface in real time according to the user's mental state.  ...  By combining brain signal measured with an adaptive interface I expect to contribute a functional passive brain-computer interface that measures and adapts to the user's brain signal.  ...  Acknowledgements The author thanks her advisor Robert Jacob, Wendy Mackay, members of the HCI research group at Tufts University and of the In|Situ| group at INRIA for their helpful inputs and encouragement  ... 
doi:10.1145/1520340.1520436 dblp:conf/chi/Girouard09 fatcat:ftxka765u5gnvfy7agxbb2l6ze

Network neuroscience for optimizing brain-computer interfaces [article]

Fabrizio De Vico Fallani, Danielle S. Bassett
2018 Physics of Life Reviews   pre-print
Based on a classification of the user's intention from the user's underlying neural activity, brain-computer interfaces (BCIs) allow direct interactions with the external environment while bypassing the  ...  Indeed, BCIs involve complex dynamic changes related to neural plasticity at a diverse range of spatiotemporal scales.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1016/j.plrev.2018.10.001 pmid:30642781 arXiv:1807.05616v1 fatcat:a3tjm2vsgvhidbt3lmt7t3uwca

Designing Implicit Interfaces for Physiological Computing

Erin Treacy Solovey, Daniel Afergan, Evan M. Peck, Samuel W. Hincks, Robert J. K. Jacob
2015 ACM Transactions on Computer-Human Interaction  
as a testbed for exploring brain-based adaptive interaction techniques.  ...  Designing implicit interfaces for physiological computing: Guidelines and lessons learned using fNIRS. ACM Trans.  ...  Jenkins, Sergio Fantini, Angelo Sassaroli, Remco Chang, and the VALT Lab at Tufts as well as Missy Cummings and the Humans and Automation Lab at MIT.  ... 
doi:10.1145/2687926 fatcat:3qycmufpb5ajnawgkmcok2vwgy

Development Of A Real-Time Brain-Computer Interface For Interactive Robot Therapy: An Exploration Of Eeg And Emg Features During Hypnosis

Maryam Alimardani, Kazuo Hiraki
2017 Zenodo  
Our aim is to develop a robot that collects information about user's mental and physical states using electroencephalogram (EEG) and electromyography (EMG) signals and performs costeffective hypnosis at  ...  The presented framework consists of three main steps: (1) Find the EEG-correlates of mind state before, during, and after hypnosis and establish a cognitive model for state changes, (2) Develop a system  ...  ACKNOWLEDGMENT This research was supported by Grant-in-Aid for JSPS Research Fellow 15F15046, and also by ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of  ... 
doi:10.5281/zenodo.1340062 fatcat:lm4jjv3pirh4hhxmvmerktb4ge

Acceptability Study of A3-K3 Robotic Architecture for a Neurorobotics Painting

Salvatore Tramonte, Rosario Sorbello, Christopher Guger, Antonio Chella
2019 Frontiers in Neurorobotics  
The architecture was composed by a Human Machine Interface based on P300 Brain Computer Interface and a robotic architecture composed by a deliberative layer and a reactive layer to translate user's high-level  ...  In this paper, authors present a novel architecture for controlling an industrial robot via Brain Computer Interface. The robot used is a Series 2000 KR 210-2.  ...  ACKNOWLEDGMENTS Authors whish to thanks Dragan Ilic and his team for his support during the Ars Electronica Festival.  ... 
doi:10.3389/fnbot.2018.00081 pmid:30687057 pmcid:PMC6336031 fatcat:5cg3mkzforbe3bivmkctjkd2mq

Using brain-computer interfaces for implicit input

Daniel Afergan
2014 Proceedings of the adjunct publication of the 27th annual ACM symposium on User interface software and technology - UIST'14 Adjunct  
Passive brain-computer interfaces, in which implicit input is derived from a user's changing brain activity without conscious effort from the user, may be one of the most promising applications of brain-computer  ...  interfaces because they can improve user performance without additional effort on the user's part.  ...  In contrast, passive brain-computer interfaces (BCIs) are based on "reactive states of the user's cognition automatically induced while interacting in the surrounding system" [16] .  ... 
doi:10.1145/2658779.2661166 dblp:conf/uist/Afergan14 fatcat:rea73ybkc5c3pi2stmdsjcap3u

From Brain Signals to Adaptive Interfaces: Using fNIRS in HCI [chapter]

Audrey Girouard, Erin Treacy Solovey, Leanne M. Hirshfield, Evan M. Peck, Krysta Chauncey, Angelo Sassaroli, Sergio Fantini, Robert J. K. Jacob
2010 Brain-Computer Interfaces  
We discuss research that explores the kinds of states that can be measured with fNIRS, and we describe initial research and prototypes that can use this objective, real time information about users' states  ...  In this chapter, we describe the fNIRS device and its potential within the realm of human-computer interaction (HCI).  ...  Any opinions, findings, and conclusions or recommendations expressed in this chapter are those of the authors and do not necessarily reflect the views of these organizations.  ... 
doi:10.1007/978-1-84996-272-8_13 dblp:series/hci/GirouardSHPCSFJ10 fatcat:aohnwea5grgyzkbl7wcxg3qh6u

Update of fNIRS as an Input to Brain–Computer Interfaces: A Review of Research from the Tufts Human–Computer Interaction Laboratory

Bosworth, Russell, Jacob
2019 Photonics  
Our work indicates that fNIRS is a robust tool for the classification of brain-states in real-time, which can provide programmers with useful information to develop interfaces that are more intuitive and  ...  Over the past decade, the Human–Computer Interaction (HCI) Lab at Tufts University has been developing real-time, implicit BrainComputer Interfaces (BCIs) using functional near-infrared spectroscopy (  ...  the contribution of a user interface design to a user's mental workload [19] .  ... 
doi:10.3390/photonics6030090 fatcat:wmotymvhivctjlvcxmy6xkkxdy

Passive BCI in Operational Environments: Insights, Recent Advances, and Future Trends

Pietro Arico, Gianluca Borghini, Gianluca Di Flumeri, Nicolina Sciaraffa, Alfredo Colosimo, Fabio Babiloni
2017 IEEE Transactions on Biomedical Engineering  
Goal: this mini-review aims to highlight recent important aspects to consider and evaluate when passive Brain-Computer Interface (pBCI) systems would be developed and used in operational environments,  ...  Thus, technologies (i.e. pBCIs) able to measure in real-time the user's mental states would result very useful in such "high risk" environments to enhance human machine interaction, and so increase the  ...  Brain-Computer Interface (pBCI) technologies.  ... 
doi:10.1109/tbme.2017.2694856 pmid:28436837 fatcat:o56e6fou7jbktlsw5rz5me5nsu

Using fNIRS brain sensing to evaluate information visualization interfaces

Evan M M. Peck, Beste F. Yuksel, Alvitta Ottley, Robert J.K. Jacob, Remco Chang
2013 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13  
Research suggests that the evaluation of visual design benefits by going beyond performance measures or questionnaires to measurements of the user's cognitive state.  ...  We show how brain sensing can lend insight to the evaluation of visual interfaces and establish a role for fNIRS in visualization.  ...  IIS-0713506, IIS-1065154, IIS-1218170) for support of this research.  ... 
doi:10.1145/2470654.2470723 dblp:conf/chi/PeckYOJC13 fatcat:qwe6od7nqncezkswer4jvrkg7u

Brain-based target expansion

Daniel Afergan, Tomoki Shibata, Samuel W. Hincks, Evan M. Peck, Beste F. Yuksel, Remco Chang, Robert J.K. Jacob
2014 Proceedings of the 27th annual ACM symposium on User interface software and technology - UIST '14  
We demonstrate through controlled experiments that brain-based target expansion can deliver a graded and continuous level of assistance to a user according to their cognitive state, thereby improving task  ...  Such an adaptation is ideal for use in complex systems to steer users toward higher priority goals during times of increased demand.  ...  Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of Google Inc. or the National Science Foundation.  ... 
doi:10.1145/2642918.2647414 dblp:conf/uist/AferganSHPYCJ14 fatcat:3r7j6jbpkncszfg6ilhfrodlgq

Co-Adaptive and Affective Human-Machine Interface for Improving Training Performances of Virtual Myoelectric Forearm Prosthesis

Iman Mohammad Rezazadeh, Mohammad Firoozabadi, Huosheng Hu, S. Mohammad Reza Hashemi Golpayegani
2012 IEEE Transactions on Affective Computing  
By developing an effective algorithm, the proposed HMI can adapt itself to the mental states of a user, thus improving its usability.  ...  The real-time adaptation between human and assistive devices can improve the quality of life for amputees, which, however, may be difficult to achieve since physical and mental states vary over time.  ...  Thus, we designed and implemented a coadaptive and affective human-machine interface (caHMI) and updated the interface control scheme using the user's mental states.  ... 
doi:10.1109/t-affc.2012.3 fatcat:5zl4v4b7f5frnc64nu6vwksnme

Toward Adaptive VR Simulators Combining Visual, Haptic, and Brain-Computer Interfaces

Anatole Lecuyer, Laurent George, Maud Marchal
2013 IEEE Computer Graphics and Applications  
So, passive BCIs provide implicit information reflecting the user's mental state to a computerized system for implicit interaction.  ...  (b) During a path-following task in a 2D maze, the system activated haptic assistance when the user's brain activity indicated a high mental workload.  ...  Anatole Lécuyer is a senior researcher and the head of the  ... 
doi:10.1109/mcg.2013.80 pmid:24808078 fatcat:uqmhwouu25ecpaqd42kgqmmpjq

Design of a Mobile Brain Computer Interface-Based Smart Multimedia Controller

Kevin Tseng, Bor-Shing Lin, Alice Wong, Bor-Shyh Lin
2015 Sensors  
In this study, a brain computer interface-based smart multimedia controller was proposed to select music in different situations according to the user's physiological state.  ...  Music is a way of expressing our feelings and emotions. Suitable music can positively affect people.  ...  Tseng provided the mechanical design of the wearable EEG cap and the graphical user interface of the system software.  ... 
doi:10.3390/s150305518 pmid:25756862 pmcid:PMC4435196 fatcat:prt75pkjlrcotpphmhirt7ddfu
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