Utilizing the theory of electrostatics, we have designed a low-cost human-computer interface device that has the ability to track the position of a user's hand in three dimensions. Physical contact is not required and the user does not need to hold a controller or attach markers to their body. To control the device, the user simply waves their hand above it in the air.
Azoic definition: “An age that has no evidence of organic life, or more precisely, to be
This project was an abstract piece, set in an entirely fictional world. It presents us with a visual journey through a world populated by computer-inspired creatures and environments. In each scene, there is a theme from nature, built using computer components and other technology inspired devices. We visualised sand dunes made from thousands of keyboard letters, computer mice growing on trees, great fields of fibre optic lights and swarms of jellyfish made from computer fans and wires. The subject was heavily weighted on visual effects, dynamics and lighting, which was technically challenging. The intended outcome of this project was to produce a high quality visual effects animation and achieve something artistically unique at the same time.
Produced as the ncca with Jack Kersey, Anthony Green, David Khoshab
Exploring deeper and more complex algorithms existing in computer vision and image processing, we have implemented this seemingly simple project. Here, a low resolution camera captures the gestures from hand which is fed to the DSP chip TM6437 which is a very good video processing chip. Being a DSP, it poses a lot of constraints on memory management and speed for real time applications. Overcoming them was the first challenge and making it successful was the next one.
Hand is detected from the rest of the world using color thresholds for skin. That way anything that is not skin color is blackened. There will still be noise which is eliminated by filtering and connected component labeling(CCL). After that we cut the hand in a circle and count the fingers using CCL again.
For symbols, we use moment variation to our benefit. Shape and configuration of hand is used in heuristic methods to detect the symbol.