PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Czasopismo

---

227--234
Tytuł artykułu

EMG Speller with Adaptive Stimulus Rate and Dictionary Support

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Ambient Assisted Living (AAL) aims to improve the quality of daily life for all humans in different periods of life. Neural-Computer Interface (NCI) can be used within AAL environments to provide alternative communication means for impaired persons bypassing the need for speech and other motor activities. By monitoring, analyzing and responding to muscular activity (EMG signals) of users, NCI systems are able to monitor, diagnose and respond to the cognitive, emotional and physical states of users in real time. In this paper we analyze and develop a speller application based on the EMG interface. We analyze requirements for developing interfaces for disabled users and interfaces of known speller applications, and describe the development of the EMG-based speller as a benchmark application. The developed speller has adaptive stimulus rate and allows word selection from dictionary. We evaluate performance and usability of the developed speller using a set of empirical (accuracy, information transfer speed, input speed), ergonomic (NASA-TLX scale) and conceptual (humanistic intelligence) attributes.(original abstract)
Czasopismo
---
Strony
227--234
Opis fizyczny
Twórcy
  • Kaunas University of Technology, Lithuania
  • Kaunas University of Technology, Lithuania
  • Kaunas University of Technology, Lithuania
Bibliografia
  • Acqualagna L., Blankertz B., "Gaze-Independent BCI-Spelling Using Rapid Visual Serial Presentation (RSVP)," Clinical Neurophysiology, 124(5):901-908, 2013. DOI:10.1016/j.clinph.2012.12.050
  • Adams R., Comley R., and Ghoreyshi M., "The Potential of the BCI for Accessible and Smart e-Learning," Proc. of the 5th Int. Conference on Universal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (UAHCI '09), 2009, 467-476. DOI: 10.1007/978-3-642-02710-9_51
  • Cecotti H., "Spelling with non-invasive Brain-Computer Interfaces - Current and future trends", Journal of Physiology-Paris, 2011, 105(1-3), 106-114. DOI: 10.1016/j.jphysparis.2011.08.003
  • Cheng C., Yang J., Huang Y., Li J., and Xia B., "A Cursor Control Based Chinese-English BCI Speller," Neural Information Processing, Lecture Notes in Computer Science, 8226, 2013, 403-410. DOI: 10.1007/978-3-642-42054-2_50
  • D'Albis T., Blatt R., Tedesco R., Sbattella L., and Matteucci M., "A predictive speller controlled by a brain-computer interface based on motor imagery," ACM Transaction of Computer -Human Interaction, 19(3):20:1-20:25, October 2012. DOI: 10.1145/2362364.2362368
  • Fairclough S. H., "Fundamentals of physiological computing", Interacting with Computers (IWC), 2009, 21(1-2):133-145.
  • Farwell L. A. and Donchin E., "Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials," Electroencephalography and clinical neurophysiology, 70(6), 510-523, Dec 1988. DOI: 10.1016/0013-4694(88)90149-6
  • Hart S. G., Staveland L. E., "Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research," in P.A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 139 - 183). Amsterdam: North-Holland, 1988.
  • Hwang H. -J., Lim J. -H., Jung Y. -J., Choi H., Lee S. W., and Im C. -H., "Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard," Journal of Neuroscience Methods, 208(1), 2012, 59-65. DOI: 10.1016/j.jneumeth.2012.04.011
  • Johnson J., Designing with the Mind in Mind: a Simple Guide to Understanding User Interface Design Rules. Morgan Kaufmann, Burlington, 2011.
  • Käthner I., Ruf C. A., Pasqualotto E., Braun C., Birbaumer N., and Halder S., "A portable auditory P300 brain-computer interface with directional cues," Clinical Neurophysiology, 2013, 124(2), 327-338. DOI: 10.1016/j.clinph.2012.08.006
  • Kemp J., Després O., Pebayle T., and Dufour A., "Age-related decrease in sensitivity to electrical stimulation is unrelated to skin conductance: an evoked potentials study," Clinical Neurophysiology, 2014, 125(3):602-7. DOI: 10.1016/j.clinph.2013.08.020
  • Liu Y., Zhou Z., and Hu D.,"Comparison of stimulus types in visual P300 speller of brain-computer interfaces," IEEE ICCI 2010:273-279.
  • Lopes J. B., "Designing user interfaces for severely handicapped persons," Proc. of the 2001 EC/NSF workshop on Universa l accessibility of ubiquitous computing: providing for the elderly (WUAUC'01), ACM, New York, NY, USA, 2001, 100-106. DOI: 10.1145/564526.564553
  • Mann S., "Wearable computing: Toward humanistic intelligence", IEEE Intelligent Systems, 2001, 16(3): 10-15. DOI: 10.1109/5254.940020
  • Marinc A., Stocklöw C., Braun A., Limberger C., Hofmann C., and Kuijper A., "Interactive personalization of ambient assisted living environments," Proc. of the 2011 Int. Conf. on Human interface and the management of information - Volume Part I (HI'11), LNCS vol. 6771, Springer-Verlag, Berlin, Heidelberg, 2011, 567-576. DOI: 10.1007/978-3-642-21793-7_64
  • Mora-Cortes A., Manyakov N. V., Chumerin N. and Van Hulle M. M., "Language Model Applications to Spelling with Brain-Computer Interfaces," Sensors 2014, 14, 5967-5993. DOI 10.3390/s140405967.
  • Ortner R., Prueckl R., Putz V., Scharinger J., Bruckner M., Schnuerer A., and Guger C., "Accuracy of a P300 Speller for Different Conditions: A Comparison," Proc. of the 5th Int. Brain-Computer Interface Conference, 2011, Graz, Austria, p. 196.
  • Pires G., Nunes U., and Castelo-Branco M., "Comparison of a rowcolumn speller vs. a novel lateral single-character speller: Assessment of BCI for severe motor disabled patients," Clinical Neurophysiology, 2012, 123(6), 1168-1181. DOI: 10.1016/j.clinph.2011.10.04
  • Quek M., Höhne J., Murray-Smith R., and Tangermann M., "Designing Future BCIs: Beyond the Bit Rate", in Allison, B., Dunne, S., Leeb, R., Millan, J.D.R. and Nijholt, A. (eds.), Towards Practical Brain-Computer Interfaces: Bridging the Gap from Research to Real-world Applications, Springer, 2013, 173-196. DOI: 10.1007/978-3-642-29746-5_9
  • Rivet B., Cecotti H., Perrin M., Maby E., and Mattout J., "Adaptive training session for a P300 speller brain-computer interface", Journal of Physiology-Paris, 2011, 105(1-3), 123-129. DOI: 10.1016/j.jphysparis.2011.07.013
  • Segers H., Combaz A., Manyakov N. V., Chumerin N., Vanderperren K., Van Huffel S., and Van Hulle M. M., "Steady State Visual Evoked Potential (SSVEP)-Based Brain Spelling System with Synchronous and Asynchronous Typing Modes," 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC 2011), Aalborg, Denmark, 14-17 June 2011, 164-167. DOI: 10.1371/journal.pone.0073691
  • Serbedzija N. B., and Fairclough S. H., "Biocybernetic loop: From awareness to evolution," IEEE Congress on Evolutionary Computation, 2009, 2063-2069. DOI: 10.1109/CEC.2009.4983195
  • Shahriari Y., and Erfanian A., "Improving the performance of P300- based brain-computer interface through subspace-based filtering," Neurocomputing, 2013, 121, 434-441. DOI: 10.1016/j.neucom.2010.01.018
  • Speier W., Fried I., and Pouratian N., "Improved P300 speller performance using electrocorticography, spectral features, and natural language processing," Clinical Neurophysiology, 2013, 124(7), 1321-1328. DOI: 10.1016/j.clinph.2013.02.002
  • Stephanidis C., "Towards User Interfaces for All: Some Critical Issues," Advances in Human Factors/Ergonomics, 01/1995, 20:137-142. DOI:10.1016/S0921-2647(06)80024-9
  • Townsend G., LaPallo B. K., Boulay C. B., Krusienski D. J., Frye G. E., Hauser C. K., Schwartz N. E., Vaughan T. M., Wolpaw J. R., and Sellers E. W., "A novel p300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns," Clinical Neurophysiology, 121(7), 2010, 1109-1120. DOI: 10.1016/j.clinph.2010.01.030
  • Treder M., and Blankertz B. "(C)overt attention and visual speller design in an ERP-based brain-computer interface," Behavioral and Brain Functions, 2010, 6, 1-13. DOI: 10.1186/1744-9081-6-28
  • Vilic A., Kjaer T. W., Thomsen C. E., Puthusserypady S., and Sorensen H. B., "DTU BCI Speller: An SSVEP-based Spelling System with Dictionary Support," 35th Annual Int. Conf. of the IEEE EMBS, Osaka, Japan, 3 - 7 July, 2013. DOI: 10.1109/EMBC.2013.6609975.
  • Volosyak I., Cecotti H., Valbuena D., and Gräser A., "Evaluation of the Bremen SSVEP Based BCI in Real World Conditions", in Proc. of the 11th Int. Conference on Rehabilitation Robotics, Kyoto, Japan, 2009, 322-331. DOI: 10.1155/2012/967305
  • Wang P. T., King C. E., Do A. H., and Nenadic Z., "Pushing the Communication Speed Limit of a Noninvasive BCI Speller", CoRR abs/1212.0469 (2012)
  • Wolpaw J. R., Birbaumer N., Heetderks W. J., McFaralnd D. J., Peckham P. H., Schalk G., Donchin E., Quatrano L. A., Robinson C. J., and Vaughan T. M., "Brain-computer interface technology: A review of the first international meeting," IEEE Trans. On Rehabilitation Engineering, 2000, 8, 164-173. DOI: 10.1109/tre.2000.847807
  • Zhang D., Song H., Xu R., Zhou W., Ling Z., and Hong B., "Toward a minimally invasive brain-computer interface using a single subdural channel: A visual speller study," NeuroImage 2013, 71:30-41.
  • Zickler C., Kaiser V., Al-Khodairy A., Kleih S., Kübler A., Malavasi M., Mattia D., Mongardi S., Neuper C., Rohm M., Rupp R., Staiger-Sälzer P., and Hoogerwerf E. -J., "BCI-Applications: Requirements of Disabled End-Users and Professional Users", First TOBI Workshop, Graz, Austria, February 2010.
  • Zickler C., Riccio A., Leotta F., Hillian-Tress S., Halder S., Holz E., Staiger-Sälzer P., Hoogerwerf E. J., Desideri L., Mattia D., and Kübler A., "A brain-computer interface as input channel for a standard assistive technology software," Clinical EEG and Neuroscience, 2011, 42(4), 236-44. DOI:10.1177/155005941104200409
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171325107

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.