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Noise harms the environmental quality and can have negative effect on health and wellbeing. Providing silent areas and periods of rest is one way to improve the perceived environmental quality. However, realization is not easy in the day to day life. The usage of mHealth solutions which can provide information about the sound of a certain area and the respective effect on humans could be supportive. As the perception of sound is highly subjective, the prediction of the perceived acoustic environments is very difficult. This paper describes a course of action to develop an automatic estimation of an acoustic environment, based on the measurement of sound properties solely. The challenges of this endeavor are explained in detail. Possible application areas in mHealth are identified and presented. This future vision paper wants to draw the attention to different possibilities to cope with noise pollution either by personal behavior change or by using personalized data to reach out for a more general applicability for example through soundscape.

Perspectives About Personalization for mHealth Solutions Against Noise Pollution