The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
WristFlex: low-power gesture input with wrist-worn pressure sensors
Open accessAbstract
In this paper we present WristFlex, an always-available on-body gestural interface. Using an array of force sensitive resistors (FSRs) worn around the wrist, the interface can distinguish subtle finger pinch gestures with high accuracy (>80 %) and speed. The system is trained to classify gestures from subtle tendon movements on the wrist. We demonstrate that WristFlex is a complete system that works wirelessly in real-time. The system is simple and light-weight in terms of power consumption and computational overhead. WristFlex's sensor power consumption is 60.7 uW, allowing the prototype to potentially last more then a week on a small lithium polymer battery. Also, WristFlex is small and non-obtrusive, and can be integrated into a wristwatch or a bracelet. We perform user studies to evaluate the accuracy, speed, and repeatability. We demonstrate that the number of gestures can be extended with orientation data from an accelerometer. We conclude by showing example applications.
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Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
Cited by
Tomo: Wearable, Low-Cost Electrical Impedance Tomography for Hand Gesture Recognition
Zhang, Y., & Harrison, C. (2015) · Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology · doi:10.1145/2807442.2807480 · Cited by 283
FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing
Zhang, C., Xue, Q., Waghmare, A., Meng, R., Jain, S., Han, Y., Li, X., Cunefare, K., Ploetz, T., Starner, T., et al. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174011 · Cited by 82
Fusion of Wearable and Contactless Sensors for Intelligent Gesture Recognition
Liang, X., Li, H., Wang, W., Liu, Y., Ghannam, R., Fioranelli, F., & Heidari, H. (2019) · Advanced Intelligent Systems · doi:10.1002/aisy.201900088 · Cited by 64
Song, X., van de Ven, S. S., Chen, S., Kang, P., Gao, Q., Jia, J., & Shull, P. B. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.811950 · Cited by 47
WristDial: An Eyes-Free Integer-Value Input Method by Quantizing the Wrist Rotation
Youn, E., Lee, S., Kim, S., Shim, Y. A., Chan, L., & Lee, G. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2021.1898848 · Cited by 10
Metadata
- Authors
- Dementyev, A., & Paradiso, J. A.
- Venue
- Proceedings of the 27th annual ACM symposium on User interface software and technology
- Publisher
- ACM
- Published
- 2014-10-05
- Pages
- 161-166
- OpenAlex
- W2008834805
- Cited by
- 203
- References
- 1
- FWCI
- 16.46
- Type
- conference paper
- Language
- en
- Open access
- green
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- Dementyev, A., & Paradiso, J. A. (2014). WristFlex: low-power gesture input with wrist-worn pressure sensors. Proceedings of the 27th annual ACM symposium on User interface software and technology. https://doi.org/10.1145/2642918.2647396
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