| Autor: |
Jun Haeng Lee, Tobias Delbrück, Paul-K.J. Park, Chang-Woo Shin, Byung Chang Kang, Hyunsurk Ryu |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
ICIP |
| DOI: |
10.1109/icip.2012.6467270 |
| Popis: |
In this paper we present a simple technique for real-time touchless hand gesture user interface (UI) for mobile devices based on a biologically inspired vision sensor, the dynamic vision sensor (DVS). The DVS can detect a moving object in a fast and cost effective way by outputting events asynchronously on edges of the object. The output events are spatiotemporally correlated by using novel event-driven processing algorithms based on leaky integrate-and-fire neurons to track a finger tip or to infer directions of hand swipe motions. The experimental results show that the proposed technique can achieve graphic UI capable finger tip tracking with milliseconds intervals and accurate hand swipe motion detection with negligible latency. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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