Between 80-100 reed switch sensors where installed in two single-person apartments collecting data about human activity for two weeks. The sensors were installed in everyday objects such as drawers, refrigerators, containers, etc to record opening-closing events (activation deactivation events) as the subject carried out everyday activities.
Each directory contains the data of a different subject and each subdirectory contains the following files:
| File | Description |
|---|---|
| sensors | sensor information: SENSOR_ID,LOCATION,OBJECT |
| activities | all analyzed activities: HEADING,CATEGORY,SUBCATEGORY,CODE |
| activities_data | data of the activities: ACTIVITY_LABEL,DATE,START_TIME,END_TIME |
- where date is in the
mm/dd/yyyyformat - where time is in the
hh:mm:ssformat - NOTE:
ACTIVITY_LABEL= Subcategory
https://courses.media.mit.edu/2004fall/mas622j/04.projects/home/
This directory contains the data collected for the thesis:
"Activity Recognition in the Home Setting Using Simple and Ubiquitous sensors" by Emmanuel Munguia Tapia
for any referece to this work or dataset please use:
-
E. Munguia Tapia. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. Pervasive 2004,Vienna, Austria.
-
E. Munguia Tapia. Activity Recognition in the Home Setting Using Simple and Ubiquitous Sensors. S.M. Thesis, Massachusetts Institute of Technology, 2003.
Send any questions or comments to Emmanuel Munguia Tapia <emunguia@media.mit.edu/>