The DaLiAc (Daily Life Activities) database consists of data from 19 subjects (8 female and 11 male, age 26 ± 8 years, height 177 ± 11 cm, weight 75.2 ± 14.2 kg, mean ± standard deviation (SD)) that performed 13 daily life activities. All subjects gave written informed consent.
The 13 activities were:
- Washing dishes
- Walking outside
- Ascending stairs
- Descending stairs
- Treadmill running (8.3 km/h)
- Bicycling (50 watt)
- Bicycling (100 watt)
- Rope jumping
These activities were chosen according to their different Metabolic Equivalent of Task (MET) values.
Hardware Equipment and Sensor Setup
Four SHIMMER (Shimmer Research, Dublin, Ireland) sensors were used for data acquisition. Each sensor node was equipped with a triaxial accelerometer and a triaxial gyroscope. Data were sampled with 200 Hz and were stored on SD card.
The sensor nodes were placed on the left ankle, the right hip, the chest, and the right ankle:
Please cite this publication when using DaLiAc:
Leutheuser, H., Schuldhaus, D., Eskofier, B. M. (2013) Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset, PLoS ONE, 8(10), e75196.