Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas

We present a novel intelligent garment design approach for body posture/gesture detection in the form of a loose-fitting blazer prototype, “the MoCaBlazer.” The design is realized by leveraging conductive textile antennas with the capacitive sensing modality, supported by an open-source electronic t...

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Main Authors: Hymalai Bello, Bo Zhou, Sungho Suh, Luis Alfredo Sanchez Marin, Paul Lukowicz
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Computer Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2022.915280/full
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author Hymalai Bello
Bo Zhou
Bo Zhou
Sungho Suh
Sungho Suh
Luis Alfredo Sanchez Marin
Paul Lukowicz
Paul Lukowicz
author_facet Hymalai Bello
Bo Zhou
Bo Zhou
Sungho Suh
Sungho Suh
Luis Alfredo Sanchez Marin
Paul Lukowicz
Paul Lukowicz
author_sort Hymalai Bello
collection DOAJ
description We present a novel intelligent garment design approach for body posture/gesture detection in the form of a loose-fitting blazer prototype, “the MoCaBlazer.” The design is realized by leveraging conductive textile antennas with the capacitive sensing modality, supported by an open-source electronic theremin system (OpenTheremin). The use of soft textile antennas as the sensing element allows flexible garment design and seamless tech-garment integration for the specific structure of different clothes. Our novel approach is evaluated through two experiments involving defined movements (20 arm/torso gestures and eight dance movements). In cross-validation, the classification model yields up to 97.18% average accuracy and 92% f1-score, respectively. We have also explored real-time inference enabled by a radio frequency identification (RFID) synchronization method, yielding an f1-score of 82%. Our approach opens a new paradigm for designing motion-aware smart garments with soft conductive textiles beyond traditional approaches that rely on tight-fitting flexible sensors or rigid motion sensor accessories.
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spelling doaj.art-6dd1fbb8aad84e14be69001a0b4df4882022-12-22T00:19:15ZengFrontiers Media S.A.Frontiers in Computer Science2624-98982022-06-01410.3389/fcomp.2022.915280915280Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as AntennasHymalai Bello0Bo Zhou1Bo Zhou2Sungho Suh3Sungho Suh4Luis Alfredo Sanchez Marin5Paul Lukowicz6Paul Lukowicz7German Research Centre for Artificial Intelligence, Embedded Intelligence, Kaiserslautern, GermanyGerman Research Centre for Artificial Intelligence, Embedded Intelligence, Kaiserslautern, GermanyDepartment of Computer Science, University of Kaiserslautern, Kaiserslautern, GermanyGerman Research Centre for Artificial Intelligence, Embedded Intelligence, Kaiserslautern, GermanyDepartment of Computer Science, University of Kaiserslautern, Kaiserslautern, GermanyDepartment of Computer Science, University of Kaiserslautern, Kaiserslautern, GermanyGerman Research Centre for Artificial Intelligence, Embedded Intelligence, Kaiserslautern, GermanyDepartment of Computer Science, University of Kaiserslautern, Kaiserslautern, GermanyWe present a novel intelligent garment design approach for body posture/gesture detection in the form of a loose-fitting blazer prototype, “the MoCaBlazer.” The design is realized by leveraging conductive textile antennas with the capacitive sensing modality, supported by an open-source electronic theremin system (OpenTheremin). The use of soft textile antennas as the sensing element allows flexible garment design and seamless tech-garment integration for the specific structure of different clothes. Our novel approach is evaluated through two experiments involving defined movements (20 arm/torso gestures and eight dance movements). In cross-validation, the classification model yields up to 97.18% average accuracy and 92% f1-score, respectively. We have also explored real-time inference enabled by a radio frequency identification (RFID) synchronization method, yielding an f1-score of 82%. Our approach opens a new paradigm for designing motion-aware smart garments with soft conductive textiles beyond traditional approaches that rely on tight-fitting flexible sensors or rigid motion sensor accessories.https://www.frontiersin.org/articles/10.3389/fcomp.2022.915280/fullloose garment sensingtheremincapacitive sensingactivity recognitionposture detectiongesture detection
spellingShingle Hymalai Bello
Bo Zhou
Bo Zhou
Sungho Suh
Sungho Suh
Luis Alfredo Sanchez Marin
Paul Lukowicz
Paul Lukowicz
Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas
Frontiers in Computer Science
loose garment sensing
theremin
capacitive sensing
activity recognition
posture detection
gesture detection
title Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas
title_full Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas
title_fullStr Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas
title_full_unstemmed Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas
title_short Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas
title_sort move with the theremin body posture and gesture recognition using the theremin in loose garment with embedded textile cables as antennas
topic loose garment sensing
theremin
capacitive sensing
activity recognition
posture detection
gesture detection
url https://www.frontiersin.org/articles/10.3389/fcomp.2022.915280/full
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