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Skinput: appropriating the body as an input surface
Abstract
We present Skinput, a technology that appropriates the human body for acoustic transmission, allowing the skin to be used as an input surface. In particular, we resolve the location of finger taps on the arm and hand by analyzing mechanical vibrations that propagate through the body. We collect these signals using a novel array of sensors worn as an armband. This approach provides an always available, naturally portable, and on-body finger input system. We assess the capabilities, accuracy and limitations of our technique through a two-part, twenty-participant user study. To further illustrate the utility of our approach, we conclude with several proof-of-concept applications we developed.
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Cited by
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Pu, Q., Gupta, S., Gollakota, S., & Patel, S. (2013) · Proceedings of the 19th annual international conference on Mobile computing & networking - MobiCom '13 · doi:10.1145/2500423.2500436 · Cited by 1,109
Soli: ubiquitous gesture sensing with millimeter wave radar
Lien, J., Gillian, N., Karagozler, M. E., Amihood, P., Schwesig, C., Olson, E., Raja, H., & Poupyrev, I. (2016) · ACM Transactions on Graphics · doi:10.1145/2897824.2925953 · Cited by 957
Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor
Kim, D., Hilliges, O., Izadi, S., Butler, A. D., Chen, J., Oikonomidis, I., & Olivier, P. (2012) · Proceedings of the 25th annual ACM symposium on User interface software and technology · doi:10.1145/2380116.2380139 · Cited by 428
UX Design Innovation: Challenges for Working with Machine Learning as a Design Material
Dove, G., Halskov, K., Forlizzi, J., & Zimmerman, J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025739 · Cited by 391
iSkin: Flexible, Stretchable and Visually Customizable On-Body Touch Sensors for Mobile Computing
Weigel, M., Lu, T., Bailly, G., Oulasvirta, A., Majidi, C., & Steimle, J. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702391 · Cited by 367
Metadata
- Authors
- Harrison, C., Tan, D., & Morris, D.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2010-04-10
- Pages
- 453-462
- OpenAlex
- W2169709590
- Cited by
- 694
- References
- 0
- FWCI
- 33.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Harrison, C., Tan, D., & Morris, D. (2010). Skinput: appropriating the body as an input surface. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1753326.1753394
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
