The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor
Abstract
Digits is a wrist-worn sensor that recovers the full 3D pose of the user's hand. This enables a variety of freehand interactions on the move. The system targets mobile settings, and is specifically designed to be low-power and easily reproducible using only off-the-shelf hardware. The electronics are self-contained on the user's wrist, but optically image the entirety of the user's hand. This data is processed using a new pipeline that robustly samples key parts of the hand, such as the tips and lower regions of each finger. These sparse samples are fed into new kinematic models that leverage the biomechanical constraints of the hand to recover the 3D pose of the user's hand. The proposed system works without the need for full instrumentation of the hand (for example using data gloves), additional sensors in the environment, or depth cameras which are currently prohibitive for mobile scenarios due to power and form-factor considerations. We demonstrate the utility of Digits for a variety of application scenarios, including 3D spatial interaction with mobile devices, eyes-free interaction on-the-move, and gaming. We conclude with a quantitative and qualitative evaluation of our system, and discussion of strengths, limitations and future work.
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Cites
A flexible new technique for camera calibration
Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004
Cited by
Romero (2017) · doi:10.1145/3130800.3130883 · Cited by 1,056
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
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Guan, Y., & Plötz, T. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3090076 · Cited by 511
Accurate, Robust, and Flexible Real-time Hand Tracking
Sharp, T., Keskin, C., Robertson, D., Taylor, J., Shotton, J., Kim, D., Rhemann, C., Leichter, I., Vinnikov, A., Wei, Y., et al. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702179 · Cited by 431
Self-citationTomo: 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
Metadata
- Authors
- Kim, D., Hilliges, O., Izadi, S., Butler, A. D., Chen, J., Oikonomidis, I., & Olivier, P.
- Venue
- Proceedings of the 25th annual ACM symposium on User interface software and technology
- Publisher
- ACM
- Published
- 2012-10-07
- Pages
- 167-176
- OpenAlex
- W2099800354
- Cited by
- 428
- References
- 1
- FWCI
- 29.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kim, D., Hilliges, O., Izadi, S., Butler, A. D., Chen, J., Oikonomidis, I., & Olivier, P. (2012). Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor. Proceedings of the 25th annual ACM symposium on User interface software and technology. https://doi.org/10.1145/2380116.2380139
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