Dataset Open Access
Fine-Grained Activities of Daily Living Data with Structural Vibration and Electrical Load Sensing
Shijia Pan;
Mario Berges;
Juleen Rodakowski;
Pei Zhang;
Hae Young Noh
Fine-grained non-intrusive monitoring of activities of daily living (ADL) enables various smart building applications, including ADL pattern assessments for older adults at risk for loss of safety or independence. We utilize structural vibration sensing and electrical load sensing to acquire multiple fine-grained kitchen activities under a lab structure setting.
Each file contains the following values:
-RawData: time series of data for each channel (vibration on the table, vibration on the floor, load)
-Label: manually fine-grained labels of events
-Table: detected events start/stop index for vibration sensor on the table
-Floor: detected events start/stop index for vibration sensor on the floor
-Load: detected events start/stop index for load sensor
Label notation:
1 -- operating the kettle
2 -- kettle on
3 -- operating the microwave
4 -- microwave on
5 -- put things on the stove
6 -- operating with stove
7 -- stove on
8 -- operating vacuum
9 -- sweep floor
10 -- walking/step
11 -- miscellaneous
12 -- synchronization signal (knock on the floor)
13 -- vacant
14 -- microwave door open
| Name | Size | |
|---|---|---|
|
P1_part1.mat
md5:a45ba32449a9febd0956e16774bcfd1a |
244.7 MB | Download |
|
P1_part2.mat
md5:de66f40db5d3885447b4ab0ba4b4b368 |
285.2 MB | Download |
|
P2_part1.mat
md5:ff9314e5b65676bdee47c5b57ac5ba23 |
235.4 MB | Download |
|
P2_part2.mat
md5:1f7891e4809f59f3a863a39e11ccf3ee |
254.3 MB | Download |
|
P3.mat
md5:c6d0fabff8f446f7eba2c7da9dc7eedb |
202.9 MB | Download |
|
P4.mat
md5:88906c1bff27958b553eb05d2ba83f94 |
280.2 MB | Download |
|
P5.mat
md5:88579149d459cca025f952b9d59145a2 |
273.2 MB | Download |
Pan, Shijia, Mario Berges, Juleen Rodakowski, Pei Zhang, and Hae Young Noh. "Fine-grained recognition of activities of daily living through structural vibration and electrical sensing." In Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 149-158. 2019.
Pan, Shijia, Mario Berges, Juleen Rodakowski, Pei Zhang, and Hae Young Noh. "Fine-grained Activity of Daily Living (ADL) Recognition through Heterogeneous Sensing Systems with Complementary Spatiotemporal Characteristics." Frontiers in Built Environment 6 (2020): 167.
| All versions | This version | |
|---|---|---|
| Views | 219 | 219 |
| Downloads | 55 | 55 |
| Data volume | 13.8 GB | 13.8 GB |
| Unique views | 188 | 188 |
| Unique downloads | 22 | 22 |
- Publication date:
- April 9, 2020
- DOI:
-
- Keyword(s):
- fine grained activity structural vibration sensing electrical load sensing activity of daily living multimodal
- License (for files):
- Creative Commons Attribution 4.0 International