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| Content Provider | IET Digital Library |
|---|---|
| Author | Oh, Byung Hun Kim, Jung Hyun Hong, Kwang Seok |
| Abstract | A novel rear-facing mobile camera-based finger motion command recognition system is proposed and implemented that can support mobile human–computer interaction (HCI) by using only the index finger of the hand holding the mobile device. This is a hybrid approach that includes (i) maximum morphological gradient combination and an AdaBoost-based robust fingertip detector under dynamic lighting conditions, against complicated backgrounds and (ii) one-handed mobile HCI using finger motion and fingertip pointer tracking. |
| Starting Page | 1330 |
| Ending Page | 1331 |
| Page Count | 2 |
| ISSN | 00135194 |
| Volume Number | 49 |
| e-ISSN | 1350911X |
| Issue Number | Issue 21, Oct (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/49/21 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2013.2203 |
| Journal | Electronics Letters |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | AdaBoost-based Robust Fingertip Detector Camera Computer Vision And Image Processing Technique Dynamic Lighting Condition Fingertip Pointer Tracking Gradient Method Human Computer Interaction Image Motion Analysis Image Sonsor Index Finger Knowledge Engineering Technique Learning in AI Mobile Computing Mobile Device Mobile Radio System Morphological Gradient Combination One-handed Mobile HCI Optical, Image And Video Signal Processing Optimisation Technique Pervasive Computing Rear-facing Mobile Camera-based Finger Motion Command Recognition System Ubiquitous User InterFace |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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