eyephone seminar report pdf ppt FFFDSDFDFFDSFSDFSDFSDFSDFSDFSDFSDFFDFDFSSFDFFDSFDSFFFFFFFFFFFFFFFFFFFFFFFFFFFFSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSOSVCs
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Abstract
Researchers are studying new technology while developing smartphones. Reducing human-mobile interactions. We propose a proprietary "hands-free" interface system capable of proposing a mobile app / function. Only user 's eG movement and actions (e.g., eyelid). EyePhone tracks mounted on the front of the phone's phone in the phone's display using the user's eye movement; More specifically,
Machine learning algorithms are used for:
i) Tracking eye and ephemeris as a user its position on mobile phone display
A special application; And
ii) detects the eyes as the target application can be activated after clicking the mouse
opinion.
We present a prototype implementation: Nokia N810 in AIFONO, which is capable of tracking the position of eye on display, this situation is activated by an app as a map in an app. There is no time the user has to physically touch the phone display.
