Rapid Finger Motion Tracking on Low-Power Mobile Environments for Large Screen Interaction

Author: Yeongnam Chae, Daniel Crane


Motion and gesture are garnering significant interest as the sizes of screens are getting larger. To provide lightweight finger motion tracking on low-power mobile environments, we propose an approach that breaks down the stereotypes of camera view points. By directing the camera view angle towards the ceiling, the proposed approach can reduce the problem complexity incurred by complicated background environments. Though this change incurs poor lighting conditions for image processing, by clustering and tracking the fragmented motion blobs from the motion image of the saturation channel, rapid finger motion can be tracked efficiently with low computational load. We successfully implemented and tested the proposed approach on a low-power mobile device with a 1.5 GHz mobile processor and a low specification camera with a capture rate of under 15 fps.

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