Dataset of physiological signals in the use of advanced driver assistance systems (ADAS)
Description
Physiological data were collected from seven drivers during real traffic sessions using ECG, EMG, EEG, GSR, and respiration sensors. Signals were acquired using AD8232, LM324, and T084 amplifiers, a NeuroSky MindWave Mobile 2 EEG (modified), a nasal cannula with a pressure transducer, and electrodes positioned according to biomedical standards. An NI USB-6009 board received all sensors, then signals were recorded via LabVIEW 2024. Vehicle data, in case speed and acceleration were simultaneously unregistered, using a Kingbolen OBD II ELM327 interface with Torque Pro
Files
Steps to reproduce
The dataset is organized into folders and subfolders to provide easy access and reuse. Each folder corresponds to a specific driver and is subdivided by travel. Into each subfolder, raw physiological signals and vehicle dynamics data are provided as time-stamped spreadsheets.
Institutions
- Universidade de Brasilia