SINS database - Node 11 - Daily activities in a home environment recorded using a Acoustic Sensor Network
Description
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.
To obtain more information on the database please visit this website and read the published paper.
Please read to license file (available in this repository) before using the database.
When using this database you should cite the following paper:
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.
Files
license.pdf
Files
(37.8 GB)
Name | Size | Download all |
---|---|---|
md5:d58ac3c2cd4994162f79811659862aff
|
337.5 kB | Preview Download |
md5:9950eef22574d18fe06f29495a6345ae
|
5.0 GB | Preview Download |
md5:6ab330f3e2acb65c0ed53322cf8254bf
|
5.0 GB | Preview Download |
md5:52d77f582aa696cfedbf15c8b5e88b46
|
5.0 GB | Preview Download |
md5:989a5edb269ac9c5b56cbb4551fa022e
|
5.0 GB | Preview Download |
md5:6bda5a62d50210f592b40e86dc7c490c
|
5.0 GB | Preview Download |
md5:92b5e98eeb0ed8803881b8b3d79f81d0
|
5.0 GB | Preview Download |
md5:c8b89f9d4d659ef65ad563e4bb1f7525
|
5.0 GB | Preview Download |
md5:63c5852b20485e7149d0d2dd7f9c271d
|
2.8 GB | Preview Download |
md5:2d56f84451870bf55afc38295efb4695
|
604 Bytes | Preview Download |
Additional details
References
- G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, "The SINS database for detection of daily activities in a home environment using an acoustic sensor network," in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32–36.