An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progression

Abstract

Interactive Evolutionary Computation (IEC) is known as an efficient method to create media content suited to the individual user. To reduce user’s fatigue, which remains as a serious problem in IEC, extended IEC that uses physiological information as a fitness value have been proposed. As a new extended IEC, this study proposed extended IEC using Heart Rate Variability (HRV), which reflects autonomic nervous activity. A High Frequency (HF) component of HRV was used as the fitness value. Two listening experiments were conducted to determine the efficacy of the proposed method. In experiment 1, with a concrete system of the proposed method creating music chord progression, a change in the fitness value was observed. In experiment 2, representative created music chord progressions were evaluated subjectively. The change in the fitness value of the HF component showed no gradual increase. Subjective evaluation results showed that the lowest fitness value was observed in the 1st generation, and the fitness value in the 10th generation significantly increased from the 1st generation (P< 0.05). The result of the subjective evaluation showed the efficacy of the proposed method.

Performance Evaluation of Interactive Evolutionary Computation Applying Gaze Information

“…By exploiting the user's biological information such as heartbeats or brainwave, system can obtain user evaluation information as the user is viewing the candidate solutions. Previous studies have verified the effectiveness of this method for obtaining candidate solutions that satisfy user preferences [5,6]. However, users must wear special devices such as a heart rate meters or electroencephalographs to measure their biological information.…”

Interactive Evolutionary Computation System with User Gaze Information

“…In contrast, by exploiting the user's biological information, such as heartbeats or brainwaves, the system can obtain user evaluation information while the user is viewing the candidate solutions. Previous studies have verified the effectiveness of this method for obtaining candidate solutions that satisfy user preferences [9,10], and have achieved user evaluation without evaluating the candidate solutions expressly. However, users must wear special devices, such as heart rate meters or electroencephalographs, for their biological information to be measured, which has contributed to the difficulty in popularizing these IEC systems.…”

Evolutionary Visual Exploration: Evaluation of an IEC Framework for Guided Visual Search

“…Interactive Evolutionary Computation (IEC) corresponds to evolutionary computational models where humans, via suitable user interfaces, play an active role, implicitly or explicitly, in evaluating the outputs evolved by the evolutionary computation. Applications of IEC are varied ranging from art to science (Lutton, 2006;Fukumoto et al, 2010;Takagi, 1998a). IEC lends itself very well to art applications such as for melody or graphic art generation where creativity is essential, due to the subjective nature of the fitness evaluation function.…”