Towards Computational Tool Support for Human Health

The demand for applications of intelligent computing for human life is increasing, as the load of work, tension and hectic routine always challenge individual life. It is really getting difficult to manage an adequate amount of time. Especially for planning balance diet, proper usage of drugs and medications, sufficient sleep time for an active mind, steadiness in exercise and others that eventually create imbalance to live healthy life. A very little focus is conducted on such important considerations. This, in order to support such important planning and decisions, we introduce a Sleep Well Live Fit (SWeLF) android based software computational tool that can assist to record our daily routine activities including the intake of meals, drugs and medications, working hours, physical exercise (via sensors) and others. The prime objective of this tool is to inform and suggest the number of calories consumed on the basis of his routine and about the amount of sleep essentially required for healthy life. In this paper, we examine the core features of the SWeLF tool to support the computing in a human life in comparison of existing methodologies. A detail experiment methodology is conducted to investigate the practicality, and demonstrated the usability of SWeLF tool in E-Health domain that eventually could help individuals to live fit.