Biosignale für die Kommunikation bei Mensch-Systemen

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This thesis analyzes in what respect human biosignals are suitable for communication among man and machine. An exemplary communication system is presented which provides the operation of a computer mouse by electro-oculographical signals (EOG) and head movements of the user. Special eyeglasses with integrated electrodes, amplifiers and acceleration sensors measure the biosignals and transfer them to computer-aided signal processing. In order to discuss here the relationship between 'biosignals' and 'information' it is necessary to define precisely these central quantities of man-machine communication. The applied information model with its five hierarchical levels statistics, syntax, semantics, pragmatics, and apobetics*, and empirically derived laws about information achieves this goal. Therefore, only under certain conditions the energetic-material biosignals of the individual are information carriers concurrently. It is compellingly concluded from the model that information can only be transmitted if the user of the man-machine system has voluntarily influenceable biosignals. Individually dependent, many bioelectric signals (among other biosignals) fulfil this condition: EOG, EMG and EEG signals, e. g.. Therefore, they are potentially suitable for communication in various man-machine systems. The operational man-machine system is based on the principles of the above information model and so exemplarily confirms the general statements. Obviously, biological signals for realistic man-machine communication must generally correspond to this information model. Keywords: biosignal, communication, man-machine System, information, EOG signal, head movement, computer mouse
(* Derived from Greek 'apobeinon' = result, success, conclusion).
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Dokumententyp:
Wissenschaftliche Abschlussarbeiten » Dissertation
Fakultät / Institut:
Fakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik
Dewey Dezimal-Klassifikation:
600 Technik, Medizin, angewandte Wissenschaften » 620 Ingenieurwissenschaften
Stichwörter:
computer mouse, Kopfbewegung, EMG, Statistik, Syntax, statistics, electro-oculographical signal, Human-Computer-Interface, head movement, willentlich beeinflussbare Biosignale, Pragmatik, Apobetik, bioelektische Signale, hirarchical levels, EEG, EOG, Brille, Information, eyeglasses, Semantik, pragmatics, syntax, apobetics, Elektrookulographie-Signal, hirarchische Ebenen, HCI, semantics, bioelectric signals, information, voluntarily influenceable biosignals, Computermaus
Beitragende:
Prof. Dr. Fiedler, Horst-Lothar [Betreuer(in), Doktorvater]
Prof. Dr. Gerhard, Edmund [Gutachter(in), Rezensent(in)]
Sprache:
Deutsch
Kollektion / Status:
Dissertationen / Dokument veröffentlicht
Datum der Promotion:
19.12.2003
Dokument erstellt am:
19.12.2003
Dateien geändert am:
30.03.2007
Medientyp:
Text