Data · dataset · 2019
ContextAct @ A4H Dataset
Listed in Teesside University Research Data Repository
ContextAct@A4H is a real-life dataset of Activities of Daily Living.
Description
ContextAct@A4H features rich, real-life daily living dataset collected in the Amiqual4Home smart apartment. It contains data from sensors in the apartment, collected while a person was living there during two periods: one in June and one in November (summer and fall respectively).
Example sensor include: door sensors, electric consumption sensors (per device), light on/off, lighting levels per room, in-door location, There are a total of 9 labeled activity classes and 397 activity instances. The README file contains more details. The experiment for collecting ContextAct@A4H was performed in the frame of a collaboration between LIG, Amiqual4Home and Universidad de Los Andes (Colombia).
Read the rest (3 more)
The main contribution of this dataset is the inclusion of context variables (weather, temperature, noise, humidity, the existence of visitors, etc) and the high number of properties measured in the apartment. The dataset was presented in the CONTEXT Conference. Its first use is to perform context-aware routine learning in the frame of Ambient Assisted Living research.
We envision many other uses for this dataset, including the following:
- To test different sensor configurations and compare which gives best classification results for activity recognition or to test which sensors suit best your application use case, finding a trade-off between cost and accuracy.
- To evaluate reliability in sensor networks since some properties have been measured using different sensors.
- For energy consumption analysis and prediction using energy-related variables.
- For evaluating context-aware services. For example, a context-aware music recommendation using music information available in the dataset.
- For routine learning and analysis since the dataset is a real-life routine. Please contact Paula Lago for any questions Paula Lago pa.lago52@uniandes.edu.co
Links
Where it is published
- DOI doi.org/10.17632/fcj2hmz5kb.3 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/fcj2hmz5kb.3 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |