A Smartphone Based Risk Estimation of Human Activities

As handheld devices have been booming up in recent years, the usage of laptops, smartphones, and tablets is increasing exponentially. More important, small handheld devices like smartphones and tablets are becoming more and more popular among people because of their portable and easy-to-use features. They use smartphones and tablets to do business and entertainment which, years ago, could only be accomplished by large personal computers and complicated software programs. Yet, while sensors like the gyroscope, accelerometer, light and magnetic are embedded into smartphones, how to best utilize sensors and improve lives of human beings by those sensors becomes a hot and valuable topic. In this thesis, we try to monitor and document people`s daily activities by the gyroscope and accelerometer that were built inside the smartphone. And with the help of those data, we calculate how much activity is required or overdone for a subject in case of maintaining a healthy condition. More importantly, based on those data, we built a real time system that could not only judge what basic activity the subject is currently doing, but also estimate simple potential risks that might happen to the subject due to the abnormal data of the activity