Distributed Tactile Display with Dual Array Design

Massalim, Yerkebulan; Faux, Damien; Hayward, Vincent

doi:10.1109/toh.2023.3254373

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…designed a flexible tactile interface that uses the elastic wave field generated by the piezoelectric driver at the remote end to provide local tactile feedback. Massalim et al [10]. designed two closely spaced Halbach magnetic arrays and flat coil arrays, generating an interacting Laplace force through coil current, causing two plates to move relative to each other to produce tactile feedback.…”

Section: Embedded Tactile Feedback Devicementioning

confidence: 99%

Review: the development of tactile feedback devices

Zhu,

Yang,

Song

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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With the advent of the holographic communication era, the amount and types of information continue to increase. People urgently need to explore new methods of information interaction. Tactile interaction technology can produce tactile feedback, greatly enhancing multimedia interactivity and user immersion, and it is an indispensable key technology in future multisensory interactive communication. This paper will introduce the latest research progress of tactile feedback devices in the past 5 years. According to different installation methods, it will be divided into four types and will summarize the characteristics of the most representative tactile feedback devices in the past 5 years in a table. Subsequently, the paper will summarize the existing problems of each type of tactile feedback device and analyze the future development trends of this field. The application of haptic feedback technology is prospected in the end.

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Section: Embedded Tactile Feedback Devicementioning

confidence: 99%

Review: the development of tactile feedback devices

Zhu,

Yang,

Song

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

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Decoding roughness perception in distributed haptic devices

Chatterjee,

Tan,

Choi

et al. 2024

PNAS Nexus

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The ability to render realistic texture perception using haptic devices has been consistently challenging. A key component of texture perception is roughness. When we touch surfaces, mechanoreceptors present under the skin are activated and the information is processed by the nervous system, enabling perception of roughness/smoothness. Several distributed haptic devices capable of producing localized skin stretch have been developed with the aim of rendering realistic roughness perception; however, current state-of-the-art devices rely on device fabrication and psychophysical experimentation to determine whether a device configuration will perform as desired. Predictive models can elucidate physical mechanisms, providing insight and a more effective design iteration process. Since existing models (1, 2) are derived from responses to normal stimuli only, they cannot predict the performance of laterally actuated devices which rely on frictional shear forces to produce localized skin stretch. They are also unable to predict the augmentation of roughness perception when the actuators are spatially dispersed across the contact patch or actuated with a relative phase difference (3). In this study, we have developed a model that can predict the perceived roughness for arbitrary external stimuli and validated it against psychophysical experimental results from different haptic devices reported in literature. The model elucidates two key mechanisms: 1) The variation in the change of strain across the contact patch can predict roughness perception with strong correlation 2) The inclusion of lateral shear forces is essential to correctly predict roughness perception. Using the model can accelerate device optimization by obviating the reliance on trial-and-error approaches.

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