Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Meaningful Interaction with Physiological Computing Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

2. Engineering Issues in Physiological Computing

verfasst von : Domen Novak

Erschienen in: Advances in Physiological Computing

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Prototypes of physiological computing systems have appeared in countless fields, but few have made the leap from research to widespread use. This is due to several practical problems that can be roughly divided into four major categories: hardware, signal processing, psychophysiological inference, and feedback loop design. This chapter explores these issues from an engineering point of view, discussing major weaknesses and suggesting directions for potential solutions. Specifically, some of the topics covered are: unobtrusiveness and robustness of the hardware, real-time signal processing capability, different approaches to design and validation of a psychophysiological classifier, and the desired complexity of the feedback rules. The chapter also briefly discusses the challenge of finding an appropriate practical application for physiological computing, then ends with a summary of recommendations for future research.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Meaningful Interaction with Physiological Computing
Nächstes Kapitel Eye Tracking and Eye-Based Human–Computer Interaction
Literatur
Berka C, Levendowski DJ, Cvetinovic MM, Petrovic MM, Davis G, Lumicao MN et al (2004) Real-time analysis of EEG indexes of alertness, cognition, and memory acquired with a wireless EEG headset. Int J Hum-Comput Int 17:151–170CrossRef
Bernardin K, Ogawara K, Ikeuchi K, Dillmann R (2005) A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models. IEEE Trans Rob 21:425–430CrossRef
Berntson GG, Quigley KS, Jang JF, Boysen ST (1990) An approach to artifact identification: application to heart period data. Psychophysiology 27:586–598CrossRef
Booth M (2009). The AI Systems of Left 4 Dead. Artificial Intelligence and Interactive Digital Entertainment Conference at Stanford
Boucsein W (2011). Electrodermal Activity (2nd ed.)
Brunner P, Bianchi L, Guger C, Cincotti F, Schalk G (2011) Current trends in hardware and software for brain-computer interfaces (BCIs). J Neural Eng 8(2):025001CrossRef
Cacioppo JT, Tassinary LG (1990) Inferring psychological significance from physiological signals. Am Psychol 45:16–28CrossRef
Chanel G, Kierkels JJM, Soleymani M, Pun T (2009) Short-term emotion assessment in a recall paradigm. Int J Hum Comput Stud 67:607–627CrossRef
Chi YM, Jung T, Cauwenberghs G (2010) Dry-contact and noncontact biopotential electrodes: methodological review. IEEE Rev Biomed Eng 3:106–119CrossRef
Chi YM, Wang Y-T, Wang Y, Maier C, Jung T-P, Cauwenberghs G (2012) Dry and noncontact EEG sensors for mobile brain-computer interfaces. IEEE Trans Neural Syst Rehabil Eng 20:228–235CrossRef
Croft RJ, Barry RJ (2000) Removal of ocular artifact from the EEG: a review. Neurophysiol Clin 30:5–19CrossRef
Duvinage M, Castermans T, Dutoit T, Petieau M, Hoellinger T, De Saedeleer C, Seetharaman K, et al. (2012). A P300-based quantitative comparison between the emotiv Epoc headset and a medical EEG device. In: Proceedings of the 9th Iasted conference on biomedical engineering
Ebner-Priemer UW, Kubiak T (2007) Psychological and psychophysiological ambulatory monitoring. Eur J Psychol Assess 23:214–226CrossRef
Estepp J, Monnin J, Christensen J, Wilson G (2010). Evaluation of a dry electrode system for electroencephalography: applications for psychophysiological cognitive workload assessment. In: Proceedings of the 2010 human factors and ergonomics society annual meeting, pp 210–214
Fairclough SH (2009) Fundamentals of physiological computing. Interact Comput 21:133–145CrossRef
Gilleade, K., Dix, A., & Allanson, J. (2005). Affective videogames and modes of affective gaming: assist me, challenge me, emote me. In: Proceedings of DiGRA
Grossman P, Wilhelm FH, Brutsche M (2010) Accuracy of ventilatory measurement employing ambulatory inductive plethysmography during tasks of everyday life. Biol Psychol 84:121–128CrossRef
Gruebler A, Berenz V, Suzuki K (2012) Emotionally assisted human-robot interaction using a wearable device for reading facial expressions. Adv Robot 26:37–41CrossRef
Gwin JT, Gramann K, Makeig S, Ferris DP (2010) Removal of movement artifact from high-density EEG recorded during walking and running. J Neurophysiol 103:3526–3534CrossRef
Healey JA, Picard RW (2005). Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems, 6, 156–166
Healey JA, Picard RW, Dabek F (1998). A new affect-perceiving interface and its application to personalized music selection. In: Proceedings of the 1998 workshop on perceptual user interfaces. San Francisco, USA
Ji Q, Lan P, Looney C (2006) A probabilistic framework for modeling and real-time monitoring human fatigue. Sys Man Cybern Part A Syst Hum 36:862–875CrossRef
Ju W, Leifer L (2008) The design of implicit interactions: Making interactive systems less obnoxious. Des Issues 24:72–84CrossRef
Koenig A, Novak D, Omlin X, Pulfer M, Perreault E, Zimmerli L, Mihelj M et al (2011) Real-time closed-loop control of cognitive load in neurological patients during robot-assisted gait training. IEEE Trans Neural Syst Rehabil Eng 19:453–464CrossRef
Kreibig SD (2010) Autonomic nervous system activity in emotion: a review. Biol Psychol 84:394–421CrossRef
Lee B-G, Chung W-Y (2012) Driver alertness monitoring using fusion of facial features and bio-signals. IEEE Sens J 12:2416–2422CrossRef
Lin Y (2011) A natural contact sensor paradigm for nonintrusive and real-time sensing of biosignals in human-machine interactions. IEEE Sens J 11:522–529CrossRef
Liu C, Conn K, Sarkar N, Stone W (2008) Online affect detection and robot behavior adaptation for intervention of children with autism. IEEE Trans Rob 24:883–896CrossRef
Mandryk RL, Atkins MS (2007) A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies. Int J Hum Comput Stud 65:329–347CrossRef
Novak D, Mihelj M, Munih M (2012) A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing. Interact Comput 24:154–172CrossRef
Novak D, Mihelj M, Ziherl J, Olenšek A, Munih M (2011) Psychophysiological measurements in a biocooperative feedback loop for upper extremity rehabilitation. IEEE Trans Neural Syst Rehabil Eng 19:400–410CrossRef
Picard RW, Vyzas E, Healey J (2001) Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Trans Pattern Anal Mach Intell 23:1175–1191CrossRef
Picot A, Charbonnier S, Caplier A (2012) On-line detection of drowsiness using brain and visual information. IEEE Trans Syst Man Cybern Part A Syst Hum 42(3):764–775CrossRef
Ritter W (2011) Benefits of subliminal feedback loops in human-computer interaction. Adv Hum-Comput Interact 2011:346492CrossRef
Scarpa Scerbo A, Freedman LW, Raine A, Dawson ME, Venables PH (1992) A major effect of recording site on measurement of electrodermal activity. Psychophysiology 29:241–246CrossRef
Serbedzija N, Fairclough SH (2012). Reflective pervasive systems. ACM Transactions on Autonomous and Adaptive Systems 7(1), article 12
Tapus A, Tapus C, Matarić M (2008) User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy. Intel Serv Robot 1:169–183
Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Eur Heart J 17:354–381CrossRef
Vaughan TM, Wolpaw JR, Donchin E (1996) EEG-based communication: Prospects and problems. IEEE Trans Rehabil Eng 4:425–430CrossRef
Ware MP, McCullagh PJ, McRoberts A, Lightbody G, Nugent C, McAllister G, Mulvenna MD et al. (2010). Contrasting levels of accuracy in command interaction sequences for a domestic brain-computer interface using SSVEP. 5th Cairo international biomedical engineering conference, pp 150–153
Wartzek T, Eilebrecht B, Lem J, Lindner H-J, Leonhardt S, Walter M (2011) ECG on the road: robust and unobtrusive estimation of heart rate. IEEE Trans Biomed Eng 58:3112–3120CrossRef
Wilhelm FH, Grossman P (2010) Emotions beyond the laboratory: theoretical fundaments, study design, and analytic strategies for advanced ambulatory assessment. Biol Psychol 84:552–569CrossRef
Wilhelm FH, Pfaltz MC, Grossman P (2006) Continuous electronic data capture of physiology, behavior and experience in real life: towards ecological momentary assessment of emotion. Interact Comput 18:171–186CrossRef
Wilpon JG, Rabiner LR, Lee C-H, Goldman ER (1990) Automatic recognition of keywords in unconstrained speech using hidden Markov models. IEEE Trans Acoust Speech Signal Process 38:1870–1878CrossRef
Wilson GF, Russell C (2007) Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Hum Factors 49:1005–1018CrossRef
Wöllmer M, Blaschke C, Schindl T, Schuller B, Färber B, Mayer S, Trefflich B (2011) Online driver distraction detection using long short-term memory. IEEE Trans Intell Transp Syst 12:574–582CrossRef
Yang G, Lin Y, Bhattacharya P (2008) Multimodality inferring of human cognitive states based on integration of neuro-fuzzy network and information fusion techniques. EURASIP J Adv Signal Process 2008:371621CrossRef
Zeng Z, Pantic M, Roisman GI, Huang TS (2009) A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Trans Pattern Anal Mach Intell 38(1):39–58CrossRef
Metadaten
Titel
Engineering Issues in Physiological Computing
verfasst von
Domen Novak
Copyright-Jahr
2014
Verlag
Springer London
Buch
Advances in Physiological Computing

Print ISBN: 978-1-4471-6391-6

Electronic ISBN: 978-1-4471-6392-3

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4471-6392-3_2

Neuer Inhalt

    Bildnachweise