dc.contributor.authorTeo, Ya Lun
dc.date.accessioned2016-04-05T05:21:50Z
dc.date.available2016-04-05T05:21:50Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/66409
dc.description.abstractSince 19th century, quadcopters have been largely used in areas such as military operations and surveillance. However, they are becoming increasingly popular in recent years amongst RC hobby enthusiasts and university researchers due to their agility, maneuverability and Vertical Takeoff and Landing (VTOL) capability. This enables them to explore possible means on controlling and improve natural interaction with quadcopters which involves manual control using a joystick controller such as Playstation controller and gesture-based controllers such as Leap Motion controller. The minor challenges that one faced in regard to a quadcopter are its ability to stabilize and "Hover" in mid-air. Hence, this project aims to control the quadcopter using simple hand-gesture. With the increased application of gesture-controlled devices, a data glove is used as the primary controller to maneuver the quadcopter and explore its possibilities.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleHand gesture for nano-quadcopter controlen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSuresh Sundaramen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
dc.contributor.researchCentre for Computational Intelligenceen_US


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