DocumentCode :
3126795
Title :
On the design of HI-based biofeedback interfaces
Author :
Chen, Daniel ; Sadeghi, Saman ; Mann, Steve
Author_Institution :
Toronto Univ., Ont., Canada
Volume :
7
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
Humanistic Intelligence (HI) is defined an having two embodying elements. (1) It is a signal processing framework in which the human and the computer use each other as peripherals in a feedback loop. (2) The HI processing apparatus is Inextricably intertwined with the oat, natural capabilities of the human mind and body. Biofeedback (or biocybernetic) interfaces made possible through analysis of physiological signals, such as electroencephalograms (EEG), electrocardiograms (ECG) skin conductance (SC), blood pressure (BP) and respiration can provide a means to realize HI. The HI-Comp project builds upon previous work (e.g. the WearComp project) to develop a wearable computer that is physiologically responsive. HI-Comp requires signal analysis research In both offline and online situations to develop appropriate pattern detection algorithms. EEG signal analysis can be performed using Fast Fiourier Transform (FFT) for power analysis, and the Hilbert Transform for phase analysis. The first HI-Comp, the HI-Cam, is a wearable personal imaging application of HI that uses FFT power analysis on the EEG signal to control various features of an biological Interfaces that will lead to true extensions of the mind and body.
Keywords :
user interfaces; wearable computers; Humanistic Intelligence; biocybernetic interfaces; biofeedback interfaces; blood pressure; electrocardiograms; electroencephalograms; pattern detection algorithms; signal processing framework; skin conductance; wearable computers; Biological control systems; Biomedical signal processing; Computer peripherals; Cybernetics; Electrocardiography; Electroencephalography; Feedback loop; Humans; Performance analysis; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1175735
Filename :
1175735
Link To Document :
بازگشت