2021 24th International Conference on Electrical Machines and Systems (ICEMS) 2021
DOI: 10.23919/icems52562.2021.9634513
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Generative Adversarial Networks for Localized Vibrotactile Feedback in Haptic Surfaces

Abstract: Touch-screens are the most relevant interface in the context of human-computer interaction. Moreover, they are widely used as interaction means for digital musical instruments, where a complex action-perception loop is involved in the user experience. This is why reestablishing a rich vibrotactile feedback is of key importance for improving the quality of the user's interaction. To the knowledge of the authors, this paper presents the first experiments with Generative Adversarial Networks (GANs) to generate ti… Show more

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Cited by 3 publications
(2 citation statements)
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References 18 publications
(26 reference statements)
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“…This study considers the conversion from tactile sensation to display input, and focuses on conditional generative adversarial networks (CGANs) [16], [17], which are a type of generative adversarial network (GAN) [18], [19], as the conversion method. In fact, several studies applying GAN to tactile technology have been conducted in recent years [20], [21], [22], [23]. These studies indicate the effectiveness of using GANs to generate input signals for tactile displays.…”
Section: Introductionmentioning
confidence: 96%
“…This study considers the conversion from tactile sensation to display input, and focuses on conditional generative adversarial networks (CGANs) [16], [17], which are a type of generative adversarial network (GAN) [18], [19], as the conversion method. In fact, several studies applying GAN to tactile technology have been conducted in recent years [20], [21], [22], [23]. These studies indicate the effectiveness of using GANs to generate input signals for tactile displays.…”
Section: Introductionmentioning
confidence: 96%
“…The inverse filter method produces localized vibrotactile feedback using a finite number of piezo actuators in the human vibrotactile range [23]. Localized vibrations in the 200-300 Hz range are reported to be achieved using a generalized adversarial network (GAN) to generate time-reversed signals [24]. Superimposition of vibration modes can also lead to localized vibrotactile feedback on large touch surfaces [25], [26].…”
Section: Introductionmentioning
confidence: 99%