Motion Control and Gesture Recognition FYP Presentation Examples

Project Title	Project Description	Link(s)
2015 MA1 Leap Sense: Turn Any Computer Screen into a Gesture-Assisted Touch Screen Using a Leap Motion Controller	Utilizes a Leap Motion Controller to detect hand movement and enable gesture control and virtual touch screen functionality; distinguished project; 2015 HKUST President's Cup Winner!
2015 PAN4 Presentation Tools with Gesture Recognition and Augmented Reality	Cool and dynamic presentation software using a Leap Motion controller and adding Augmented Reality (AR) into the presentations; includes an add-in for MS PowerPoint
2015 PSAN1 AirTennis: A Web-Based, Mobile Motion Controlled Console Game	A cool game that allows two players to play virtual tennis via computer displays and "tennis raquets" that are actually smart phones with accelerometers and gyroscopes
2013 MA1 Kinect-Based Windows control Using Finger Gestures	Hand tracking integrated with traditional Windows control
2013 MA3 Windows Kinect 3D Fighter Game	3D fighting game from the first-person perspective that allows discrete combos and relies on voice commands and natural body movements captured by an MS Kinect
2012 MA1 SixthSense - Wearable Gestural Interface	Creative DIY method way to interact with a computer by using pocket projector, a normal web camera, a mirror and a frame binding all these together.
2010 MA1 Camera Based Interactive Wall Display With Hand Detection Using LED Lights	Innovative DIY hand detection technique that uses a simple, low-budget web camera and three LED lights; distinguished project!

Motion control in the context of computer systems involves the use of a user's hands or body or some physical objects to make commands. It normally requires the use of a motion detection device, e.g., Kinect and Leap Motion. Kinect allows interaction in a range of 0.4 to 4 meters. It does both, full and partial skeletal tracking, depth sensing and audio tracking as well. Leap motion is smaller in size and shorter in range (up to 3 feet), and it only does hand and finger tracking, but it is a more accurate sensor. Motion control is a subset of artificial intelligence (AI), and it is also related to human-computer interaction (HCI).

Gesture recognition involves the interpretation of human gestures via mathematical algorithms. Gestures can originate from any bodily motion, expecially hand motion or facial motion. Many approaches have been made using cameras and computer vision algorithms to interpret gestures' meanings. Although most computer users are accustomed to using a mouse and keyboard or a touch screen for inputting commands, gesture recognition is opening new opportunities for research and application. It is often closely related to computer vision and/or human-computer interaction (HCI).

Motion Control and Gesture Recognition FYP Presentation Examples

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