MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking

The pursuit of seamless human activity recognition and monitoring has driven extensive research into wearable sensing technologies. While inertial measurement units (IMUs) have become a dominant modality, challenges remain in achieving comfortable, unobtrusive integration - particularly for applications demanding longterm wearability and design flexibility. Conventional IMU-based systems often necessitate rigid attachment to specific body locations, hindering their adoption in fashion-forward or everyday garments. MoCaPose [1] is a novel approach that decouples sensor position from pose estimation by leveraging multi-channel capacitive sensing integrated within loose-fitting smart textiles. We aim to demonstrate the potential of this paradigm shift for creating truly wearable motion capture systems which can be used for human activity recognition (HAR) that prioritize both functionality and aesthetic integration.

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Journal
GetMobile Mobile Computing and Communications
Published
2025-08-11
DOI
https://doi.org/10.1145/3760535.3760538
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
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article

MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking

Sungho Suh, Gesche Joost, Bo Zhou, Daniel Geißler et al.
GetMobile Mobile Computing and Communications
Interactive and Immersive Displays
article

MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking

Sungho Suh, Gesche Joost, Bo Zhou, Daniel Geißler, Sizhen Bian, Sandip Ray, Vítor Fortes Rey, Paul Lukowicz, Lala Shakti
article en

Abstract

The pursuit of seamless human activity recognition and monitoring has driven extensive research into wearable sensing technologies. While inertial measurement units (IMUs) have become a dominant modality, challenges remain in achieving comfortable, unobtrusive integration - particularly for applications demanding longterm wearability and design flexibility. Conventional IMU-based systems often necessitate rigid attachment to specific body locations, hindering their adoption in fashion-forward or everyday garments. MoCaPose [1] is a novel approach that decouples sensor position from pose estimation by leveraging multi-channel capacitive sensing integrated within loose-fitting smart textiles. We aim to demonstrate the potential of this paradigm shift for creating truly wearable motion capture systems which can be used for human activity recognition (HAR) that prioritize both functionality and aesthetic integration.

GetMobile Mobile Computing and CommunicationsVol. 29(2)
University of Kaiserslautern (DE), German Research Centre for Artificial Intelligence (DE), Berlin University of the Arts (DE), University of Applied Sciences Kaiserslautern (DE)
Openalex Percentile: Top 80%
Interactive and Immersive Displays
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MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking — Sungho Suh, Gesche Joost, et al. · GetMobile Mobile Computing and Communications (2025) | TGRS Research Map | TGRS