Towards Next-Generation Health: Improving Perception and Interaction with Interconnected Human Data Model



Towards Next-Generation Health: Improving Perception and Interaction with Interconnected Human Data Model

SHORT ABSTRACT OF THE TALK

Inspired by a survey and a number of interviews among wellness and education professionals, I have designed a new type of programming model. The results of the studies show that the professionals almost entirely lack ideas how to benefit the ever-increasing amount of data measured of the humans. I believe that this is because of the missing support for programming models for accessing and handling the data. In this talk I will introduce Human Data Model — a new tool that helps combining data from various sources, performing computations, and developing and scheduling computer-human interactions. The model runs everywhere, is freely available from GitHub, and can be used with the existing IoT platforms.

Language: English

SPEAKER

Full name: Niko Mäkitalo
Filiation: University of Helsinki

SHORT SPEAKER CV

Dr. Niko Mäkitalo works as postdoctoral researcher in University of Helsinki. His main interests are Web technologies in the context of multi-device and IoT programming. Recently his research focus has been on making interactions with the IoT more human-centric and user friendly with a novel programming model. He is passionate implementing what he has designed in practice.