Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data
Weigend, Fabian C, Kumar, Neelesh, Aran, Oya, Amor, Heni Ben
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jun-3-2024
- Country:
- North America > United States > Arizona (0.05)
- Genre:
- Research Report (0.84)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Vision > Video Understanding (1.00)
- Information Technology > Artificial Intelligence