A Fuzzy Rule-Based Model of Vibrotactile Perception via an Automobile Haptic Screen

Abstract

International audienceWith the increased popularity of touch-sensitive surfaces, much attention has been drawn to their security-related issues, as they currently rely only on the visual sense for feedback. To improve operability, vibrotactile signals may be delivered to the finger on screen interaction. The way vibrotactile signals affect human perception is examined via three measured variables, related to their energy, velocity, and spectral complexity, and which are analytically defined in this paper. It is shown that these variables accurately account for the psychophysical properties of the tactile sense. Based on this, a psychophysical fuzzy rule-based model of vibrotactile perception is introduced to forecast the comfort values of the vibrational signals provided by an automobile haptic screen. Using an efficient rule-based generation method, a Mamdani fuzzy inference system is proposed; it achieves a mean error rate of 14% for the train set and 17% for the test set, while correctly classifying most of the signals within a reasonable tolerance, related to human evaluation imprecision. The system also produces a comprehensible linguistic rule structure, which allows behavioral patterns to be detected

A Fast and Accurate Rule-Base Generation Method for Mamdani Fuzzy Systems

“…The Vibrotactile Perception problem [50] consists of predicting the comfort level for a series of N S = 48 vibrotactile stimuli characterized by three physical attributes: energy (E), velocity (V) and spectral complexity or entropy (S). The comfort values for the 48 stimuli were obtained by asking a panel of 16 users three times, and averaging the results.…”

“…As described in [50], the granularity of the variables is 5 fuzzy subsets for E, 3 for V and S and 5 again for the output variable (the predicted comfort value). Given the small size of the dataset, both SR and SRO methods used a rule removal threshold S[%] = 5.…”

“…We believe that this behavior has something to do with the sparsity of the data and with the fact that certain zones on the input space grid are inaccessible (e.g. no vibrotactile stimulus can simultaneously have high energy and high velocity [50]). This leads to a considerable amount of "holes" within the input space which reduces the mutual dependency of the rules.…”

Localized Fretting-Vibrotactile Sensations for Large-Area Displays

“…Haptics has recently received much attention in studies on the multimodal interaction between human and virtual or augmented environments for teleoperation, − rehabilitation, − games, , training simulators, − automobiles, − and electronic devices. , Together with visual and aural sensations, haptic sensation can provide more intuitive and realistic interactions with displayed contents, such as object shape, texture discrimination, and object manipulation. , Providing an aural sensation with haptic and visual sensations is relatively easy because synchronization is enough to realize multimodality, and an audio system can usually be spatially separated from haptic and display devices . However, integrating haptic devices with high-quality display devices usually involves technological challenges because of spatial interference (e.g., haptic feedback on top of the displayed objects) and optical hindrance.…”