As I ploughed through a dense text on Human Computer Interaction, I questioned my choice of pursuing an eye gesture control system as my final year project. The idea was novel: Figure out a way to control an on-screen cursor with the help of pupil movements. However, the expertise it required was not my or my group’s forte. Granted we had some programming experience, we were still aware of the challenges that would inevitably line our journey. Foremost was a strong foundation of knowledge. The most daunting was risking our final semester grade if the project failed. Confident and passionate, we took the risk.
Challenges, we soon discovered, are accompanied by serendipitous discoveries. Within six months, we devoured more books than most undergoing a computer science degree would. Our search brought us in touch with a group of enthusiasts from MIT working on a similar project. We were on to something, we marched on, and made it!
To me triumph was not the hallmark of this journey. It was a consequence. My reward lay in the knowledge I had gained in an exciting field. It brought a realization that learning and advancing my knowledge of computer science should be the next …show more content…
I found how, by parsing an increasingly large amount of data from a single sensor, one could observe trends that remained otherwise obscure. I created a gas pressure monitor for geysers which recorded measurements throughout the day and raised an alarm if they transgressed out of range. These measurements were logged streamed, refined, and then visualized. I was able to observe an intriguing trend that gas pressure, especially in winters, was the lowest during evenings and highest after midnight. As my interest grew, I began to wonder, what if we could apply the same principles of data analytics to the energy distribution system and make it more
Challenges, we soon discovered, are accompanied by serendipitous discoveries. Within six months, we devoured more books than most undergoing a computer science degree would. Our search brought us in touch with a group of enthusiasts from MIT working on a similar project. We were on to something, we marched on, and made it!
To me triumph was not the hallmark of this journey. It was a consequence. My reward lay in the knowledge I had gained in an exciting field. It brought a realization that learning and advancing my knowledge of computer science should be the next …show more content…
I found how, by parsing an increasingly large amount of data from a single sensor, one could observe trends that remained otherwise obscure. I created a gas pressure monitor for geysers which recorded measurements throughout the day and raised an alarm if they transgressed out of range. These measurements were logged streamed, refined, and then visualized. I was able to observe an intriguing trend that gas pressure, especially in winters, was the lowest during evenings and highest after midnight. As my interest grew, I began to wonder, what if we could apply the same principles of data analytics to the energy distribution system and make it more