A study on context driven human activity recognition framework
Shatakshi Chakraborty · OhioLink ETD Center (Ohio Library and Information Network) · 2015
In recent world, human activity recognition has drawn much attention in the field of human computer interaction.There is a growing demand of activity recognition in different areas of everyday living, such as health-care systems like patient health monitoring, home-based rehabilitation, entertainment, and many more.In this research, we are aiming to use activity recognition theory in health-care system to monitor patient behavior during the waiting time at clinical visits.In todayâĂŹs health-care system, patients wait about 22 minutes on average in doctorâĂŹs offices, and more than four hours in emergency departments.As wait time increases, patient satisfaction drops.With a growing consumer-mindedness of instant gratification or satisfaction, health care providers or hospitals are looking ways to improve productivity, like shortening each patientâĂŹs path through the health care system, perhaps, adopting measures such as clinics using kiosks, and not reception desks, speedier check-in for returning patients, and taking measures to funnel visitors to the appropriate part of the clinic or hospital when appointments have been arranged earlier, while providing more attentive face-to-face care to those who are first timers to the system and in need.The purpose of this study is to investigate a computer-based means to obtain useful data on typical human behaviors during visits to clinics.A framework to implement the technoli I am using this opportunity to express my deepest gratitude towards the Almighty God for carrying me through all the days of my life. A very special thanks to my advisor Professor Chia Han