16 September 2014 Natural user interface as a supplement of the holographic Raman tweezers
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Abstract
Holographic Raman tweezers (HRT) manipulates with microobjects by controlling the positions of multiple optical traps via the mouse or joystick. Several attempts have appeared recently to exploit touch tablets, 2D cameras or Kinect game console instead. We proposed a multimodal “Natural User Interface” (NUI) approach integrating hands tracking, gestures recognition, eye tracking and speech recognition. For this purpose we exploited “Leap Motion” and “MyGaze” low-cost sensors and a simple speech recognition program “Tazti”. We developed own NUI software which processes signals from the sensors and sends the control commands to HRT which subsequently controls the positions of trapping beams, micropositioning stage and the acquisition system of Raman spectra. System allows various modes of operation proper for specific tasks. Virtual tools (called “pin” and “tweezers”) serving for the manipulation with particles are displayed on the transparent “overlay” window above the live camera image. Eye tracker identifies the position of the observed particle and uses it for the autofocus. Laser trap manipulation navigated by the dominant hand can be combined with the gestures recognition of the secondary hand. Speech commands recognition is useful if both hands are busy. Proposed methods make manual control of HRT more efficient and they are also a good platform for its future semi-automated and fully automated work.
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Zoltan Tomori, Jan Kanka, Peter Kesa, Petr Jakl, Mojmir Sery, Silvie Bernatova, Marian Antalik, Pavel Zemánek, "Natural user interface as a supplement of the holographic Raman tweezers", Proc. SPIE 9164, Optical Trapping and Optical Micromanipulation XI, 91642P (16 September 2014); doi: 10.1117/12.2061024; https://doi.org/10.1117/12.2061024
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