Abstract: Cloud computing has revolutionized healthcare in today's world as it can be seamlessly integrated into a mobile application and sensor devices. The sensory data is then transferred from these devices to the public and private clouds. In this paper, a hybrid and distributed environment is built which is capable of collecting data from the mobile phone application and store it in the cloud. We developed an activity recognition application and transfer the data to the cloud for further processing. Big data technology Hadoop MapReduce is employed to analyze the data and create user timeline of user's activities. These activities are visualized to find useful health analytics and trends. In this paper a big data solution is proposed to analyze the sensory data and give insights into user behavior and lifestyle trends.
By these means, cloud computing is widely used with smartphones and allows the creation of elastic models REF , where applications are launched on the mobile phone, and the data is processed in the cloud.
Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Computer Science Medicine