KI - Künstliche Intelligenz

, Volume 29, Issue 2, pp 219–222 | Cite as

Revolution in Health and Wellbeing

Machine Learning, Crowdsourcing and Self-annotation
Discussion

Abstract

We argue that recent technology developments hold great promises for health and wellbeing. In our view, recent advances of (1) smart tools and wearable sensors of diverse kinds, (2) data collection and data mining methods, (3) 3D visual recording and visual processing methods, (4) 3D models of the environment with robust physics engine, and last but not least, (5) new applications of human computing and crowdsourcing started the revolution. We are neither claiming nor excluding that human intelligence will be reached in some years from now, but make the above claim, which is both weaker and stronger. We believe that fast developments for health and wellbeing are the question of active collaboration between health and wellbeing experts and motivated engineers.

Keywords

Personalization Machine learning Smart tools  Crowdsourcing Data mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Eötvös Loránd UniversityBudapestHungary

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