Sonic home: Environmental sound collection game for human activity recognition

Abstract

This paper presents a new smartphone game for collecting environmental sounds using a participatory sensing approach. In our game, a player becomes an owner of a virtual house and furnishes the house with in-game items that are obtained by collecting environmental sounds. The collected sounds are used to train an environmental sound recognition model for daily activity recognition. However, such participatory sensing systems have several issues related to, for example, motivation of users and reliability of collected data. To cope with the issues, we propose and implement gamified functions for controlling the quality and diversity of collected data. We conducted an experiment to evaluate the developed functions and confirmed the effectiveness of our developed functions.