Open Access
| Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 6 | |
| Section | Session V: Intelligent Sensing Technology | |
| DOI | https://doi.org/10.1051/itmconf/20171105002 | |
| Published online | 23 May 2017 | |
- Bartoli L., Garzotto F., Gelsomini M., et al: Designing and evaluating touchless playful interaction for ASD children. In: Proceedings of the 2014 conference on Interaction design and children, pp. 17–26. (2014) [Google Scholar]
- Frey J.: Comparison of a consumer grade EEG amplifier with medical grade equipment in BCI applications. In: International BCI meeting, pp. 5442–5445. (2016) [Google Scholar]
- Parry I., Carbullido C., Kawada J., et al: Keeping up with video game technology: objective analysis of Xbox Kinect and PlayStation 3 Move for use in burn rehabilitation. Journal of the International Society for Burn Injuries, vol. 40(5), pp. 852–859. (2014) [CrossRef] [Google Scholar]
- Chang Y. J., Han W. Y., Tsai Y. C.: A Kinect-based upper limb rehabilitation system to assist people with cerebral palsy. Research in Developmental Disabilities, vol. 34(11), pp. 3654–3659. (2013) [CrossRef] [Google Scholar]
- Casiez G., Roussel N., Vogel D.: 1 € filter: a simple speed-based low-pass filter for noisy input in interactive systems. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp. 2527–2530. (2012) [Google Scholar]
- Monir S., Rubya S., Ferdous H. S.: Rotation and scale invariant posture recognition using Microsoft Kinect skeletal tracking feature. In: Intelligent Systems Design and Applications (ISDA), 12th International Conference on. IEEE, pp. 404–409. (2012) [Google Scholar]
- Nguyen D. D., Le H. S.: Kinect Gesture Recognition: SVM vs. RVM. In: Knowledge and Systems Engineering (KSE), Seventh International Conference on. IEEE, pp. 395–400. (2015) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.