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SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Adwait Sharma
  • Christina Salchow-Hömmen
  • Vimal Suresh Mollyn
  • Aditya Shekhar Nittala
  • Thomas Seel

Externe Organisationen

  • Universität des Saarlandes
  • Charité - Universitätsmedizin Berlin
  • Technische Universität Berlin
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Details

OriginalspracheEnglisch
Aufsatznummer39
FachzeitschriftACM Transactions on Computer-Human Interaction
Jahrgang30
Ausgabenummer3
PublikationsstatusVeröffentlicht - 10 Juni 2023
Extern publiziertJa

Abstract

Gestural interaction with freehands and while grasping an everyday object enables always-available input. To sense such gestures, minimal instrumentation of the user's hand is desirable. However, the choice of an effective but minimal IMU layout remains challenging, due to the complexity of the multi-factorial space that comprises diverse finger gestures, objects, and grasps. We present SparseIMU, a rapid method for selecting minimal inertial sensor-based layouts for effective gesture recognition. Furthermore, we contribute a computational tool to guide designers with optimal sensor placement. Our approach builds on an extensive microgestures dataset that we collected with a dense network of 17 inertial measurement units (IMUs). We performed a series of analyses, including an evaluation of the entire combinatorial space for freehand and grasping microgestures (393 K layouts), and quantified the performance across different layout choices, revealing new gesture detection opportunities with IMUs. Finally, we demonstrate the versatility of our method with four scenarios.

ASJC Scopus Sachgebiete

Zitieren

SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. / Sharma, Adwait; Salchow-Hömmen, Christina; Mollyn, Vimal Suresh et al.
in: ACM Transactions on Computer-Human Interaction, Jahrgang 30, Nr. 3, 39, 10.06.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Sharma, A, Salchow-Hömmen, C, Mollyn, VS, Nittala, AS, Hedderich, MA, Koelle, M, Seel, T & Steimle, J 2023, 'SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures', ACM Transactions on Computer-Human Interaction, Jg. 30, Nr. 3, 39. https://doi.org/10.1145/3569894
Sharma, A., Salchow-Hömmen, C., Mollyn, V. S., Nittala, A. S., Hedderich, M. A., Koelle, M., Seel, T., & Steimle, J. (2023). SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Transactions on Computer-Human Interaction, 30(3), Artikel 39. https://doi.org/10.1145/3569894
Sharma A, Salchow-Hömmen C, Mollyn VS, Nittala AS, Hedderich MA, Koelle M et al. SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Transactions on Computer-Human Interaction. 2023 Jun 10;30(3):39. doi: 10.1145/3569894
Sharma, Adwait ; Salchow-Hömmen, Christina ; Mollyn, Vimal Suresh et al. / SparseIMU : Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. in: ACM Transactions on Computer-Human Interaction. 2023 ; Jahrgang 30, Nr. 3.
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AU - Sharma, Adwait

AU - Salchow-Hömmen, Christina

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AU - Nittala, Aditya Shekhar

AU - Hedderich, Michael A.

AU - Koelle, Marion

AU - Seel, Thomas

AU - Steimle, Jürgen

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