@inproceedings{Waghmare2023optiring,
author = {Waghmare, Anandghan and Boldu, Roger and Whitmire, Eric and Kienzle, Wolf},
title = {OptiRing: Low-Resolution Optical Sensing for Subtle Thumb-to-Index Micro-Interactions},
year = {2023},
isbn = {9798400702815},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3607822.3614538},
doi = {10.1145/3607822.3614538},
abstract = {We present OptiRing, a ring-based wearable device that enables subtle single-handed micro-interactions using low-resolution camera-based sensing. We demonstrate that our approach can work with ultra-low image resolutions (e.g., 5 \texttimes{} 5 pixels), which is instrumental in addressing privacy concerns and reducing computational needs. Using a miniature camera, OptiRing supports thumb-to-index finger gestures, such as stateful pinch and left/right swipes, as well as continuous 1-DOF input. We present a modeling approach that uses heuristic-based methods to identify interactions and machine learning for input gating, generalizing recognition across users and sessions. We assess this technique’s capabilities, accuracy, and limitations through a user study with 15 participants. OptiRing achieved 93.1\% accuracy in gesture recognition, 99.8\% accuracy for stateful pinch gestures, and a minimal number of false positives. Further, we validate OptiRing’s ability to handle continuous 1D input in a Fitts’ law study. We discuss these findings, the tradeoff between resolution and interaction accuracy, and the potential of this technology, which can help address challenges associated with optical sensing for input.},
booktitle = {Proceedings of the 2023 ACM Symposium on Spatial User Interaction},
articleno = {8},
numpages = {13},
keywords = {Camera, Human-Computer Interaction, Input, Privacy, Wearable Computing},
location = {Sydney, NSW, Australia},
series = {SUI '23}
}
