In this research it’s said that the easiest device to get in touch with almost everyone and to do our job what is we do with mobile phones. It’s believed that most of us don’t want to carry more things with us. So for that, we need to get those things which we don’t have to hold, such as bands which we can wear but we need not to worry about that, oh! Where is it? Where I have left it? Blah blah blah................ in that case we forget or better say we overlooked that surface where we can apply all the inputs and can do our work, can carry out every small functions, can implement the technology scratch input. That overlooked surface, which happens to travel with us all time, is: OUR SKIN. This can be used as an input, means, a kind of ray will be in your hand which has some buttons of your mobile phones, the mobile phone is chosen because we have the surface area not so broad but is very good for placing any buttons or numbers.
Numbers are shown palm
Forehand is being used as an Input Surface
Now let’s take a look in the sensors which actually senses about the taps or drags done by our fingers. Sensors are built with very much difficulty because; we don’t have those sensors which can measure the wave passes in the bones of human body. There are so many bio-sensors like: EEG(electro encephalography), functional near infrared spectroscopy(fINAR) etc. fINR is used by HCI(Human-Computer Interaction Institute). There are other heart beat measuring equipments, other brain signal catching technologies. But there is no technology which can measure the consciousness of mind, concentration power of our mind. Here we need those sensors which can measure the wave that passes by the bones. Researchers got a bit deeper for that need; they got electromyography (EMG). But this one didn’t work also. And there after two new sensors comes up but they are also not capable of taking the waves from bones. Finally, bone conduction microphones and headphones- now common consumer technologies-represents an addition bio-sensing technology that is relevant to the present work. Now with the immense help of this technology we entered the new threshold of touch. Here skin is used as an input surface area. For an example forearm is used to represent this technology.
SENSOR
SENSORS FROM INSIDE
Sensing
When we tap our forearm with a finger tip a signal transverse the forearm and it propagates the wave. That wave is technically measured with the sensors (modified from bone conduction microphones and headphones) and it determines where from the tap comes from and then it catches the intersection point from where the signal generates and it does its action according to the configured commands. Those sensors are then modified again to catch the low frequency signals (below the human voice) for that cantilevered sensors comes up. It is so small and able to catch the waves through bone. Now to place those sensors an armband is configured. It’s so comfortable with the arm and easy to remove also. Now after wearing the armband it becomes partly mobile. Now we can do this experiment a ray falls upon our forearm, it falls with some buttons and numbers, we tap one of them and it transverse a signal through the bone and the processing is done according to the wave. So ,in this way we can operate our mobile phone. But here some questions remains in our mind that where are the speakers? Where are microphones and all that?
Idea
However, we can easily say that this research brings us new technology, can be used with our skin. This one gets so closer. We are technology prone human beings now days. In our daily life we never put a step without any gadget but this is extreme. Now it reaches to our skin also. Its now time to see that what comes next?
All the details came from Chris Harrison official site: http://www.chrisharrison.net/projects/skinput
The demonstration video of this project is here: http://www.youtube.com/watch?v=g3XPUdW9Ryg&feature=player_embedded
I f you want to download the research paper then go to the above site and unveil the next generation of Technology. All credit goes to Chris Harrison for all his upcoming projects and researches.
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