Chaos in ear plethysmograms: Tracking experiment and a model

Shimizu, Toshiyuki; Makabe, Hitoshi; Oyama‐Higa, Mayumi; Sakamoto, Kazuyoshi

doi:10.1109/icsmc.2008.4811752

Cited by 2 publications

(2 citation statements)

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“…Similar to our study, different researchers have examined the chaotic behavior of hand motion by calculating LLE during target tracking. For example, in [13], the hand motion's chaotic behavior was evaluated by calculating LLE while tracking sinusoidal and chaotic target movement in ear plethysmographs. Additionally, the values of LLE were positive in both tracking conditions, but it was more remarkable for chaotic targets than periodic signals.…”

Section: Discussionmentioning

confidence: 99%

“…Different studies have investigated the association between chaotic dynamics and human activities, especially in hand movements [11,12] . Some studies have evaluated voluntary control of hand motion and its chaotic behavior during target tracking tasks [13,14]. In contrast, others have considered the human ability to recognize chaotic target motion against randomness and predict the target's behavior over time [15,16].…”

Section: Introductionmentioning

confidence: 99%

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A novel stretching and folding characterization method based on geometrical and physiological traits of chaotic and intermittent tracking signals

2023

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The specification of stretching and folding properties, particularly in time series, is of substantial interest. This study is sought to perceive the relationship between stretching and folding and irregular discontinuities in hand motion trajectories during target tracking tasks. In this regard, a new method is proposed based on compiling physiological characteristics and hand motion dynamics' geometrical traits. Thus, five tracking conditions are designed in which participants are instructed to track different target motion patterns. In these experiments, sinusoidal and trapezoidal target movements with frequencies of 0.1 and 0.3 Hz, as well as pseudo-periodic target motion created by summing two sinusoids with frequencies of 0.117 and 0.278 Hz, are used as visual targets. The results illustrate that nonuniform discontinuities are noticeable properties of the hand motion trajectory. Also, the largest Lyapunov exponent, correlation dimension, and fractal dimension corroborate that the tracking attractor is low-dimensional and chaotic. Moreover, the results are compared with the curvature-based method, and its modified version is presented by taking advantage of the proposed method. As a result, through the suggested method, stretching and folding points are well discerned regardless of discontinuities. This method can deal with the systems with intermittency in both times-and state space.

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Section: Discussionmentioning

confidence: 99%