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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.01117 |
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| _version_ | 1866910469363597312 |
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| author | Weigend, Fabian C Kumar, Neelesh Aran, Oya Amor, Heni Ben |
| author_facet | Weigend, Fabian C Kumar, Neelesh Aran, Oya Amor, Heni Ben |
| contents | We present an open-source library for seamless robot control through motion capture using smartphones and smartwatches. Our library features three modes: Watch Only Mode, enabling control with a single smartwatch; Upper Arm Mode, offering heightened accuracy by incorporating the smartphone attached to the upper arm; and Pocket Mode, determining body orientation via the smartphone placed in any pocket. These modes are applied in two real-robot tasks, showcasing placement accuracy within 2 cm compared to a gold-standard motion capture system. WearMoCap stands as a suitable alternative to conventional motion capture systems, particularly in environments where ubiquity is essential. The library is available at: www.github.com/wearable-motion-capture. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_01117 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data Weigend, Fabian C Kumar, Neelesh Aran, Oya Amor, Heni Ben Robotics We present an open-source library for seamless robot control through motion capture using smartphones and smartwatches. Our library features three modes: Watch Only Mode, enabling control with a single smartwatch; Upper Arm Mode, offering heightened accuracy by incorporating the smartphone attached to the upper arm; and Pocket Mode, determining body orientation via the smartphone placed in any pocket. These modes are applied in two real-robot tasks, showcasing placement accuracy within 2 cm compared to a gold-standard motion capture system. WearMoCap stands as a suitable alternative to conventional motion capture systems, particularly in environments where ubiquity is essential. The library is available at: www.github.com/wearable-motion-capture. |
| title | Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data |
| topic | Robotics |
| url | https://arxiv.org/abs/2406.01117 |