Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator

Ahmed Farooq; Jussi Rantala; Roope Raisamo; Arto Hippula

doi:10.1109/DTIP56576.2022.9911712

Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

57 Downloads (Pure)

Abstract

challenges in creating reliable vibrotactile feedback within noisy environments can be addressed by developing a dynamic actuation platform. This research proposes the use of an AI-driven dynamically adaptive process to generate, mediate and verify tactile signals created for surface-based interaction. Our approach looks at vibrotactile feedback from a holistic point of view and targets creating reliable end-to-end communication across devices and environments.

Original language	English
Title of host publication	2022 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP)
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	978-1-6654-9167-9
DOIs	https://doi.org/10.1109/DTIP56576.2022.9911712
Publication status	Published - Aug 2022
Publication type	A4 Article in conference proceedings
Event	Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - Pont-a-Mousson, France Duration: 11 Jul 2022 → 13 Jul 2022

Conference

Conference	Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS
Country/Territory	France
City	Pont-a-Mousson
Period	11/07/22 → 13/07/22

Publication forum classification

Publication forum level 1

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10.1109/DTIP56576.2022.9911712

Farooq- DTIP22
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https://urn.fi/URN:NBN:fi:tuni-202211238598

Cite this

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title = "Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator",

abstract = "challenges in creating reliable vibrotactile feedback within noisy environments can be addressed by developing a dynamic actuation platform. This research proposes the use of an AI-driven dynamically adaptive process to generate, mediate and verify tactile signals created for surface-based interaction. Our approach looks at vibrotactile feedback from a holistic point of view and targets creating reliable end-to-end communication across devices and environments.",

author = "Ahmed Farooq and Jussi Rantala and Roope Raisamo and Arto Hippula",

year = "2022",

month = aug,

doi = "10.1109/DTIP56576.2022.9911712",

language = "English",

booktitle = "2022 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP)",

publisher = "IEEE",

address = "United States",

note = "Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS ; Conference date: 11-07-2022 Through 13-07-2022",

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Farooq, A , Rantala, J , Raisamo, R & Hippula, A 2022, Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator. in 2022 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP). IEEE, Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS , Pont-a-Mousson, France, 11/07/22. https://doi.org/10.1109/DTIP56576.2022.9911712

Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator. / Farooq, Ahmed ; Rantala, Jussi ; Raisamo, Roope et al.
2022 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP). IEEE, 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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T1 - Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator

AU - Farooq, Ahmed

AU - Rantala, Jussi

AU - Raisamo, Roope

AU - Hippula, Arto

PY - 2022/8

Y1 - 2022/8

N2 - challenges in creating reliable vibrotactile feedback within noisy environments can be addressed by developing a dynamic actuation platform. This research proposes the use of an AI-driven dynamically adaptive process to generate, mediate and verify tactile signals created for surface-based interaction. Our approach looks at vibrotactile feedback from a holistic point of view and targets creating reliable end-to-end communication across devices and environments.

AB - challenges in creating reliable vibrotactile feedback within noisy environments can be addressed by developing a dynamic actuation platform. This research proposes the use of an AI-driven dynamically adaptive process to generate, mediate and verify tactile signals created for surface-based interaction. Our approach looks at vibrotactile feedback from a holistic point of view and targets creating reliable end-to-end communication across devices and environments.

U2 - 10.1109/DTIP56576.2022.9911712

DO - 10.1109/DTIP56576.2022.9911712

M3 - Conference contribution

BT - 2022 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP)

PB - IEEE

T2 - Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS

Y2 - 11 July 2022 through 13 July 2022

ER -

Haptic Mediation through Artificial Intelligence: Magnetorheological Fluid as Vibrotactile Signal Mediator

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