SINS database - Node 11 - 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数据库包含一名在度假住宅内生活的受试者连续一周的音频录制数据。该数据集通过部署于整栋住宅内的13组麦克风阵列采集获得，每组麦克风阵列均由4个线性排布的麦克风组成。录制数据已按环境内开展的日常活动层级完成人工标注。 若需获取该数据库的更多相关信息，请访问指定网站并查阅已发表的学术论文。 <strong>使用本数据库前，请务必阅读本仓库内提供的授权协议文件。</strong> 使用该数据库时，请<strong>引用以下论文</strong>： Gert Dekkers、Steven Lauwereins、Bart Thoen、Mulu Weldegebreal Adhana、Henk Brouckxon、Toon van Waterschoot、Bart Vanrumste、Marian Verhelst、Peter Karsmakers. 基于声学传感器网络的住宅日常活动检测SINS数据库[C]//2017年声学场景检测与分类研讨会（DCASE2017）论文集，2017年11月，第32-36页。