An Energy Harvesting Wearable Ring Platform for Gesture Input on Surfaces. Gummeson, J., Priyantha, B., & Liu, J. In Proceedings of the International Conference on Mobile Systems, Applications, and Services (MobiSys), 2014.
An Energy Harvesting Wearable Ring Platform for Gesture Input on Surfaces [link]Website  abstract   bibtex   
This paper presents a remote gesture input solution for in- teracting indirectly with user interfaces on mobile and wear- able devices. The proposed solution uses a wearable ring platform worn on a user's index finger. The ring detects and interprets various gestures performed on any available surface, and wirelessly transmits the gestures to the remote device. The ring opportunistically harvests energy from an NFC-enabled phone for perpetual operation without explicit charging. We use a finger-tendon pressure-based solution to detect touch, and a light-weight audio based solution for detecting finger motion on a surface. The two-level energy efficient classification algorithms identify 23 unique gestures that include tapping, swipes, scrolling, and strokes for hand written text entry. The classification algorithms have an av- erage accuracy of 73% with no explicit user training. Our implementation supports 10 hours of interactions on a sur- face at 2 Hz gesture frequency. The prototype was con- structed with off-the-shelf components and has a form factor comparable to a large ring.
@inProceedings{
 title = {An Energy Harvesting Wearable Ring Platform for Gesture Input on Surfaces},
 type = {inProceedings},
 year = {2014},
 identifiers = {[object Object]},
 keywords = {energy-harvesting,ring,wearable},
 websites = {http://dx.doi.org/10.1145/2594368.2594389},
 id = {c573c263-8407-3278-8608-5b97e3ebb935},
 created = {2018-07-12T21:32:43.357Z},
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 last_modified = {2018-07-12T21:32:43.357Z},
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 citation_key = {gummeson:energy14},
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 abstract = {This paper presents a remote gesture input solution for in- teracting indirectly with user interfaces on mobile and wear- able devices. The proposed solution uses a wearable ring platform worn on a user's index finger. The ring detects and interprets various gestures performed on any available surface, and wirelessly transmits the gestures to the remote device. The ring opportunistically harvests energy from an NFC-enabled phone for perpetual operation without explicit charging. We use a finger-tendon pressure-based solution to detect touch, and a light-weight audio based solution for detecting finger motion on a surface. The two-level energy efficient classification algorithms identify 23 unique gestures that include tapping, swipes, scrolling, and strokes for hand written text entry. The classification algorithms have an av- erage accuracy of 73% with no explicit user training. Our implementation supports 10 hours of interactions on a sur- face at 2 Hz gesture frequency. The prototype was con- structed with off-the-shelf components and has a form factor comparable to a large ring.},
 bibtype = {inProceedings},
 author = {Gummeson, Jeremy and Priyantha, Bodhi and Liu, Jie},
 booktitle = {Proceedings of the International Conference on Mobile Systems, Applications, and Services (MobiSys)}
}

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