Abstract
In our current society, unobtrusive sensing has become an important tool to monitor the physical world, as it is easy to use and privacy-aware. Remote sensing is a new and heavily researched technology based on the analysis of radio signals. A particular field research in this area is the analysis of channel state information with the raw signal, as this contains the most information. While most research focuses on analysis of individuals or clustered data, little to no research has gone into the analysis of channel state information of multiple people over multiple days for different and comparable activities. This dataset contains data of nine different participants over three different days, with an two participants repeating the activities over an additional three days. The dataset is available at the 4TU.ResearchData under the CC BY-NC-SA license.
| Original language | English |
|---|---|
| Title of host publication | DATA’19 |
| Subtitle of host publication | Proceedings of the Second Workshop on Data Acquisition To Analysis |
| Place of Publication | New York, NY |
| Publisher | ACM Press |
| Pages | 61-64 |
| Number of pages | 4 |
| ISBN (Print) | 978-1-4503-6993-0 |
| DOIs | |
| Publication status | Published - 10 Nov 2019 |
| Event | 2nd Workshop on Data Acquisition To Analysis, DATA 2019 - Columbus University, New York, United States Duration: 10 Nov 2019 → 10 Nov 2019 Conference number: 2 |
Conference
| Conference | 2nd Workshop on Data Acquisition To Analysis, DATA 2019 |
|---|---|
| Abbreviated title | DATA |
| Country/Territory | United States |
| City | New York |
| Period | 10/11/19 → 10/11/19 |
Keywords
- Datasets
- Channel state information
- Human activity recognition
- Device-free sensing
- 802.11n
- Data stability