Universal Gestural Remote: Improvements

Description:
The idea of UGR is to build a gesture-based device that can be used to control many different things, just by pointing and gesturing at the object you want to control. This could be used to build an interactive (and much clichéd) home automation system, providing for a completely new and fresh way of interacting with day-to-day objects. 
Right now we have built a first proof of concept. It demonstrates the idea clearly. A video link can be found on: http://www.youtube.com/watch?v=ReSPvCIFZkU. 

Technologies used:
1) Basic analog circuitry and senors
2) Arduino
3) Some python
As we move on, we will use more and more technologies, and you can expect this list to grow. You can see that EagleCAD has a noticeable absence.

Development plan:
We plan to work primarily on replacing the force sensor with a better sensor, hence we are hunting for good sensors and doing trials with them. Also we plan to redesign the physical setup of the wristband/watch. We will be adding machine learning to the mix to better enable early gesture recognition, due to the lack of which we were having some problems. Also on the cards, is a plan to design a TV-compatible gesture interface system, which has special implications for the UGR system.

To-do list (kind of like a deadline, but not quite):
•	By January end - Finalise the replacement for the force sensor, and finish it's testing and integration. Explore hand tracking options - kinect or normal camera?
•	February - Redesign the LED placement. We will use 2 LEDs in orthogonal positions, which activate dynamically based on accelerometer readings. 
•	 March - Collect data for ML. Read and practice basic ML. Hard-code ML model on the wristband. Right now, we don't want UGR to do ML as it's computationally a little heavy.
•	April - Add bluetooth to UGR for hand tracking app (and many more apps).