Working title: Body Never Lies: Sense and Sensibility Through Wearable Sensors on Social Network System (Draft)
I am feeling much better after walking two kilometers today…
– Mr. John Doe told his close friend and a group of doctors who are observing him for some time. John is one of the many patients who was lately diagnosed to be obese. John is a tech savvy guy; he uses laptops, smartphones and several other gadgets. He was interested to learn about his health condition for a while. So he started keeping track of his health condition on a continuous basis. First he it was only of her personal interest. However, later his personal record keeping has turned out to be a treasure especially after he was diagnosed to be obese.
In a different scenario, in a hospital a group of enthusiastic medical personnel were struggling with understanding patients’ motivation and their wellbeing status. They we eager to learn about the patients’ daily life pattern, including their food intake, exercise pattern and some other habits. However, they had only opportunity to interview the patients during their hospital visit. The information they could get during the medical tests and by one to one interview was rich but that could not give enough insight about the patients’ regular behaviour over time, especially in their regular life scenario.
Under the supervision of Professor Dr. Diane Payne of University College Dublin (UCD) (under the strategic research scheme of UCD,) within the PatNet project a small group of Interdisciplinary researchers are designing and developing a secure online social network system (in close collaboration with a consultancy company) that allows its users to share their information, at a first glance like any other social networking platform. However, the newly built system allows users to store and share the data-stream from their wearable sensors. Now John Doe, an obese patient can share his walking pattern, sleep pattern, calorie burn etc. He can also share what he actually things. The system allows its users to share status, write blogs or chat with other persons on the secured network.
An intuitive and edge cutting privacy and access control system built into the system allows a user to easily share a piece of information with only selected persons. Medical personnel can use the anonymous data to:
- analyse the interaction and how the interaction evolves over time
- can see a time-series data about the health condition of the patients
Most exciting part of this project is that it aims push the limit of medical observation outside the laboratory setting that enables medical professionals and researchers to gain insight about the daily life activities of the patient groups that would probably fundamentally change the way medical personnel understand and treat patients today.