TNDA-HAR
- Citation Author(s):
-
Yan Yan
Dali ChenYushi LiuJinjin ZhaoBo WangXuankun WuXiaohao JiaoYuqian ChenHuihui LiXuchao Ren - Submitted by:
- Yan Yan
- Last updated:
- DOI:
- 10.21227/4epb-pg26
- Data Format:
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- Keywords:
Abstract
This dataset is proposed for human activity recognition tasks. The static activities including sitting, standing, and laying, as well as walking, running, cycling, and walking upstairs/downstairs. Each activity lasts for 2 minutes, 50 subjects were involved in the experiments.
Instructions:
Twenty-three subjects were involved in 8 activities, including 3 static ones and 5 periodic activities of walking, running, cycling, and walking upstairs/downstairs. Each activity lasts around 2 minutes.
For each column, the sensor signals are organized as " 'wri_Acc_X', 'wri_Acc_Y', 'wri_Acc_Z', 'wri_Gyr_X', 'wri_Gyr_Y', 'wri_Gyr_Z', 'wri_Mag_X', 'wri_Mag_Y', 'wri_Mag_Z', 'ank_Acc_X', 'ank_Acc_Y', 'ank_Acc_Z', 'ank_Gyr_X', 'ank_Gyr_Y', 'ank_Gyr_Z', 'ank_Mag_X', 'ank_Mag_Y','ank_Mag_Z', 'bac_Acc_X', 'bac_Acc_Y', 'bac_Acc_Z', 'bac_Gyr_X', 'bac_Gyr_Y', 'bac_Gyr_Z', 'bac_Mag_X', 'bac_Mag_Y', 'bac_Mag_Z' ".
