Emotional Status Determination using Physiological Parameters Data Set

Citation Author(s):
Sadhana
Tiwari
IIIT Allahabad
Sonali
Agarwal
IIIT Allahabad
Submitted by:
Sadhana Tiwari
Last updated:
Wed, 09/22/2021 - 02:40
DOI:
10.21227/e1n2-jx32
Data Format:
License:
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Abstract 

This dataset is created with the usage of Galvanic Skin Response Sensor and Electrocardiogram sensor of MySignals Healthcare Toolkit. MySignals toolkit consists of the Arduino Uno board and different sensor ports. The sensors were connected to the different ports of the hardware kit which was controlled by Arduino SDK.

MySignals is a development platform for medical devices and e-Health applications. It is a multichannel physiological signal recorder which measures more than 15 different biometric parameters such as pulse, breath rate, oxygen in blood, electrocardiogram signals, blood pressure, muscle electromyography signals, glucose levels, galvanic skin response, lung capacity, snore waves, patient position, airflow and body scale parameters (weight, bone mass, body fat, muscle mass, body water, visceral fat, Basal Metabolic Rate and Body Mass Index).

This novel dataset can be applied for training and evaluating deep learning, machine learning and data analytics models to deal with binary and multi-class stress and emotion classification problem.

Comments

hi I would like to download this dataset

Submitted by nahom adisu on Fri, 11/04/2022 - 08:30