Name
Abstract | ||
|---|---|---|
We present AuraRing, a wearable electromagnetic tracking system for fine-grained finger movement. The hardware consists of a ring with an embedded electromagnetic transmitter coil and a wristband with multiple sensor coils. By measuring the magnetic fields at different points around the wrist, AuraRing estimates the five degree-of-freedom pose of the finger. AuraRing is trained only on simulated data and requires no runtime supervised training, ensuring user and session independence. AuraRing has a resolution of 0.1 mm and a dynamic accuracy of 4.4 mm, as measured through a user evaluation with optical ground truth. The ring is completely self-contained and consumes just 2.3 mW of power.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3332167.3356893 | The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology |
Keywords | Field | DocType |
electromagnetic tracking, smart ring, wearables | Computer science,Finger tracking,Human–computer interaction | Conference |
ISBN | Citations | PageRank |
978-1-4503-6817-9 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farshid Salemi Parizi | 1 | 8 | 2.55 |
| Eric Whitmire | 2 | 0 | 1.35 |
| Alvin Cao | 3 | 0 | 0.34 |
| Tianke Li | 4 | 0 | 0.34 |
| Shwetak N. Patel | 5 | 2967 | 211.74 |