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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sangseung Kang Jaehong Kim Joochan Sohn |
| Copyright Year | 2010 |
| Description | Author affiliation: Robot/Cognitive System Research Department, ETRI, Daejeon, Korea (Sangseung Kang; Jaehong Kim; Joochan Sohn) |
| Abstract | As the digital convergence trend becomes common, much attention is being paid to a device provided with a gesture sensor. In this paper, we propose a system for recognizing user's gestures and controlling a robot based on multi-level data fusion. The system includes some function modules such as sensing of movements, recognition of hand gestures, mapping into particular gesture commands, and controlling robot actuators. It can be useful to get various information about the movements of users using a glove-type mediated interface device. The recognized gestures can be categorized into predefined information or mapped into particular symbolic features. That makes the various applications possible and helps us to control intuitively. |
| Starting Page | 1777 |
| Ending Page | 1780 |
| File Size | 731520 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424474530 |
| e-ISBN | 9788993215021 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-27 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | IEEE International Conference on Control & Automation |
| Subject Keyword | Data Fusion Robot control Gesture recognition Data gloves Robot sensing systems Feature extraction Data mining Hand gesture Mediated interface |
| Content Type | Text |
| Resource Type | Article |
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