SINS database - Node 13 - Daily activities in a home environment recorded using a Acoustic Sensor Network

The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br> <br> To obtain more information on the database please visit this website and read the published paper.<br> <strong>Please read to license file (available in this repository) before using the database.</strong><br> <br> When using this database you should <strong>cite the following paper</strong>:<br> Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.SINS数据库（SINS）包含一名在度假屋居住的受试者连续一周的音频录制数据。该数据集通过部署于全屋的13个麦克风阵列（microphone array）网络采集得到，每个麦克风阵列由4个线性排布的麦克风组成。录制数据已针对环境中开展的日常活动层级完成人工标注。 如需获取该数据库的更多信息，请访问指定网站并查阅已发表的研究论文。 **使用本数据库前，请务必阅读本仓库内的授权许可文件。** 使用该数据库时，请**引用如下论文**： Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, 以及 Peter Karsmakers，《基于声学传感器网络的居家环境日常活动检测SINS数据库》，收录于2017年声学场景与事件检测与分类研讨会（DCASE2017）论文集，第32–36页，2017年11月。