This time it has been trying to make a very unusual TV remote. This remote will be able to identify the identity of the user holding it and also help you to get through the channel clutter so that you can easily and directly watch what you want to. Endless efforts are being made to achieve this.

If the Arizona State researcher and the staff of the Intel Labs are successful, then you will have an amazing TV remote in your hand which will already know your viewing habits and whatever you would like to watch on television as soon as you grab it in your hands. This will give you more personalized viewing options. It will also be of great help to you in a way of blocking all the unwanted or inappropriate content from television so that you can prevent your young children from watching it. The scientists have also been trying their best to achieve this without needing to use the face recognition camera that the user may need in order to make himself or herself identified to the remote’s software. Instead of all these complications, the researchers are saying that they are using a corresponding remote control data. This has parts such as a sequence of buttons with varying functions that can be pressed or used, accelerometer ratings and an option to train the predictor of the person. The Intel Labs staff tested this methodology of their new TV remote on a sample set of five households. This was done by capturing the gestures or the reactions of a particular person toward different channels via the accelerometer button as well as the pushes. Finally the results were run through the algorithms in order to determine the identity of the user holding the remote at that point of time.

However, there are some flaws as well that have been detected in these testing. The flaw is that the technology has not yet gained a full accuracy as far as the identification of the user holding the remote is done and then applying it appropriately. Researchers are still putting in all the efforts in order to remove this flaw and broaden the accuracy of the data that is set to include the viewing habits of the test subjects of the sample households. As more and more users are logging on to their internet with the help of their HDTVs, their online profile will greatly help the software of the remote to identify the user more accurately.

Basically it is all about how you hold the remote. If this motion sensor is given the time to familiarize itself with the user, then it can also do the identification accurately. The accelerometer takes the readings in almost 100 nanoseconds. Although the rates are short of 100% yet, there are hopes for improving the system.