| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - feature-extraction |
| - object-detection |
| language: |
| - en |
| tags: |
| - CSI |
| - WiFi |
| - 6E |
| - 6GHz |
| - Sensing |
| - timeseries |
| pretty_name: Wi6CSI |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Wi6CSI |
| Wi6CSI: A Human Activity Recognition Dataset for Next-Generation WiFi Sensing in the 6 GHz Band |
|
|
| ## Wi6CSI Dataset Overview |
|
|
| **Wi6CSI** is a comprehensive Wi-Fi sensing dataset collected in the **6GHz** band. It offers a rich, high-resolution resource for researchers |
|
|
| ### Key Features |
|
|
| - **Scenarios Covered:** |
| - **Single User:** Data captured with one user performing various activities. |
| - **Multi User:** Data where multiple users are present simultaneously. |
| - **People Counting:** Scenarios designed to count individuals within a specific area. |
|
|
| - **Collection Locations:** |
| Data has been collected across **three distinct locations**, ensuring diverse environmental conditions and variations in the wireless channel. |
|
|
| - **Data Volume and Resolution:** |
| - The dataset holds approximately **1.5TB** of data. |
| - Each Wi-Fi packet includes **8100 subcarriers**, offering a level of detail that supports high-resolution sensing and analysis. |
|
|
| - **Wi-Fi Band:** |
| - Utilizes the **6GHz** frequency band, providing enhanced granularity and improved sensing accuracy compared to lower frequency bands. |
|
|
| ### Dataset Contents |
|
|
| - **.mp4 files:** |
| These files are Pose3D videos that capture 3D representations of subjects during data collection. They can be used for visual analysis, activity recognition, or correlating motion with CSI data. |
|
|
| - **.mat files:** |
| These MATLAB files contain the Wi-Fi CSI values. The numerical data stored in these files represent the channel state information of the wireless signal, useful for signal processing or machine learning applications. |
|
|
| - **.csi files:** |
| These files hold raw Wi-Fi CSI data. They are not immediately usable and must be parsed using the [picoscenes toolbox](https://ps.zpj.io/matlab.html) to extract the relevant features for analysis. |
|
|
| ### Single User Activity Recognition Structure |
| | **Activity** | |
| |---------------------------------| |
| | Empty Room (A1) | |
| | Standing Still (A2) | |
| | Sitting Still (A3) | |
| | Lying Down Still (A4) | |
| | Clap (A5) | |
| | Wave (A6) | |
| | Arm Circles (A7) | |
| | Bicep Curls (A10) | |
| | Toe Touches (A8) | |
| | Squats (A9) | |
| | Walk (Perpendicular) (A11) | |
| | Walk (Parallel) (A12) | |
| | Jump (A13) | |
|
|
| | **Location** | |
| |---------------------------------| |
| | Room (L1) | |
| | Extended Room (L2) | |
| | Meeting Room (L3) | |
|
|
| | **Trial Number** | |
| |---------------------------------| |
| | Trial 1 (T1) | |
| | Trial 2 (T2) | |
| | Trial 3 (T3) | |
| | Trial 4 (T4) | |
|
|
| | **Participant Number** | |
| |---------------------------------| |
| | Participant 1 (P1) | |
| | Participant 2 (P2) | |
| | Participant 3 (P3) | |
| | Participant 4 (P4) | |
| | Participant 5 (P5) | |
|
|
| ### Multi User Interaction Structure |
| | **Scenario No.** | **Participant P1** | **Participant P2** | **Participant P3** | |
| |------------------|------------------------|------------------------|--------------------------| |
| | S1 | (A5) Clap | (A6) Wave | (A7) Arm Circles | |
| | S2 | (A10) Bicep Curls | (A2) Standing Still | (A6) Wave | |
| | S3 | (A3) Sitting Still | (A10) Bicep Curls | (A6) Wave | |
| |------------------|------------------------|------------------------|--------------------------| |
| | S4 | (A13) Jump | (A12) Walk (Parallel) | (A5) Clap | |
| | S5 | (A10) Bicep Curls | (A9) Squats | (A12) Walk (Parallel) | |
| | S6 | (A9) Squats | (A6) Wave | (A2) Standing Still | |
| |------------------|------------------------|------------------------|--------------------------| |
| | S7 | (A14) High Five | (A14) High Five | (A6) Wave | |
| | S8 | (A15) Passing Object | (A15) Passing Object | (A12) Walk (Parallel) | |
| | S9 | (A16) Handshake | (A16) Handshake | (A5) Clap | |
|
|
| | **Location** | |
| |---------------------------------| |
| | Meeting Room (L3) | |
|
|
| | **Trial Number** | |
| |---------------------------------| |
| | Trial 1 (T1) | |
| | Trial 2 (T2) | |
| | Trial 3 (T3) | |
| | Trial 4 (T4) | |
|
|
| | **Participant Number** | |
| |---------------------------------| |
| | Participant 1 (P1) | |
| | Participant 2 (P2) | |
| | Participant 3 (P3) | |
|
|
| ### People Counting Structure |
| | **Scenario No.** | **Details** | |
| |------------------|-----------------------------------------------------------------| |
| | S10 | Sitting relatively still while using a mobile phone and talking | |
| | S11 | Standing and mingling with other participants | |
|
|
| | **Location** | |
| |---------------------------------| |
| | Meeting Room (L3) | |
|
|
| | **Trial Number** | |
| |---------------------------------| |
| | Trial 1 (T1) | |
| | Trial 2 (T2) | |
| | Trial 3 (T3) | |
| | Trial 4 (T4) | |
|
|
| | **Number of Participants** | **Participant Numbers** | |
| |----------------------------|-------------------------| |
| | 1 (N1) | P1 | |
| | 2 (N2) | P1, P2 | |
| | 3 (N3) | P1, P2, P3 | |
| | 4 (N4) | P1, P2, P3, P4 | |
| | 5 (N5) | P1, P2, P3, P4, P5 | |
|
|
