Baseline dataset of biosignals for estimating mental concentration

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Abstract 

The Baseline set described in the submitted IEEE article  as Baseline_set  contains 1442450 rows, where the number of rows varied between 15395 and 197542 for the 16 subjects;  the average per subject being 69095 rows. The data set is filtered and standardized as described in III.C in the submission . The other data sets used in the article are derived from Baseline set.

The data set in .csv format contains the columns timestamp, user_id, session_id, acc_var, hr, rmssd, sdnn, st, eda, eda_freq, bm, location, and concentration. The time step is 5 seconds.

Instructions: 

The Baseline set  contains 1442450 rows, where the number of rows varied between 15395 and 197542 for the 16 subjects;  the average being 69095 rows. The data set is filtered and standardized as described in III.C in the submission. The other data sets used in the article are derived from Baseline set.

The data set in .csv format contains the columns timestamp, user_id, session_id, acc_var, hr, rmssd, sdnn, st, eda, eda_freq, bm, location, and concentration. The time step is 5 seconds

Comments

This is supplementary data to the article "C. Södergård and T. Laakko, "Inferring Students’ Self-Assessed Concentration Levels in Daily Life Using Biosignal Data From Wearables," in IEEE Access, vol. 11, pp. 30308-30323, 2023, doi: 10.1109/ACCESS.2023.3260061.

Submitted by Caj Sodergard on Sat, 04/01/2023 - 04:57