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.
Authors
- Sungho Suh (ORCID: https://orcid.org/0000-0003-3723-1980)
- Gesche Joost (ORCID: https://orcid.org/0000-0001-7156-0660)
- Bo Zhou (ORCID: https://orcid.org/0000-0002-8976-5960)
- Daniel Geißler (ORCID: https://orcid.org/0000-0003-2643-4504)
- Sizhen Bian (ORCID: https://orcid.org/0000-0001-6760-5539)
- Sandip Ray (ORCID: https://orcid.org/0000-0002-8671-5052)
- Vítor Fortes Rey (ORCID: https://orcid.org/0000-0002-8371-2921)
- Paul Lukowicz
- Lala Shakti
Institutions
- University of Kaiserslautern (DE)
- German Research Centre for Artificial Intelligence (DE)
- Berlin University of the Arts (DE)
- University of Applied Sciences Kaiserslautern (DE)
Publication Details
- 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
- 0.00