Stress Detection using Galvanic Skin Response during Short S

Stress Detection using Galvanic Skin Response

during Short Message Service Composition

GSR relation to stress

2 types of mobile phones

Text Messaging(SMS)

Significance of the Study

The study can affect the future designs of phones

which will consider the stress factors on the user

The study will determine whether the type of keypads used while texting affects the stress levels of the user

There's a relevant difference between conventional phones and smartphones in terms of stress levels while texting

Scope

The group will choose 20 random subjects for the study.

These subjects will be given a phone, smartphone or conventional, to compose a text message prepared by the group.

The stress from composing the message will consider three variations namely the length of the thumb, size of the phone and the time to finish composing the message.

Limitations

The subject chosen for the testing should not naturally have sweaty hands as it would affect the data.

All participants for the study should be a college student.

The types of keypad to be used are T9 for conventional cellular phone and qwerty for touchscreen smartphones.

The cellular phones that will be used for data acquisition will only cover 5 sizes for each of the two types of cellular phones(conventional 3D button phones and touchscreen smartphones).

The maximum size for the smartphones would be a( 5.95 x 3.12 x 0.33 in), the size of a Samsung Galaxy Note 3. The minimum size for the smartphone would be (4.09 x 2.28 x 0.45 in), the size of a Samsung Galaxy Y. For the conventional phones, the group would survey the market for available phones since most conventional aren’t manufactured anymore and can only be bought via a second-hand basis.

Data Acquisition

Feature Extraction

Fisher Linear Discriminant Analysis

Correlation of LDA output and eSense Data

Correlation of External Variables and eSense Data

Introduction

Summary

of

Literature

Based from the study of Villarejo[1], the system illustrated below uses electrodes to measure skin conductance and sends this data to a coordinator, Zigbee, which in turns sends the information to the computer.

Stress Sensor using Zigbee[1]

Estimated Budget

Based on the study of Katsis[2], basic steps of acquiring the final classified are: data acquisition from sensors, feature extraction and classification.

System Architecture [2]

Statement of the Problem

There is a need to compare and analyze stress levels between conventional phones and touchscreen smartphones.

Significant Theories

Objectives

Outputted parameters of eSense Skin Response

GENERAL

The general objective of this study is to determine a person’s stress levels using Galvanic Skin Response(GSR) data while texting.

The study will prove whether the parameters are proportional to the stress levels

Methodology

SPECIFIC

Correlate stress levels to multiple variables such as thumb length, size of phone and time of the text composition

Determine which is better in terms of stress levels, usage of a T9 conventional phone or a qwerty touchscreen smartphone

The more an individual is aroused, the higher conductivity of electricity in the skin

Outputted parameters of eSense Skin Response

The goal of every biofeedback training is to reduce the permanent, basic level of stress and a reduction of the immediate stress response to a particular stimulus.

Gantt Chart

For the testing procedures, all participants must only use one thumb for texting

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THANK YOU!

Christian Dave S. Cruz

Paul Jhon M. Buenvenida