On the design of HI-based biofeedback interfaces

Humanistic Intelligence (HI) is defined as 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 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 Fourier Transform (FFT) for power analysis, and the Hubert 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 EyeTap system. The Hi-Cam system, therefore, provides biological interfaces that will lead to true extensions of the mind and body.