Recognizing Human Affection: Smartphone Perspective

Recognizing Human Affection: Smartphone Perspective

Mefta Sadat

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Rasam Bin Hossain

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Hasan Mahmud

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Islamic University of Technology

Recognizing Human Affection: Smartphone Perspective

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Abstract

Touch-screen Smartphone has become an obligatory segment in the lives of billions of people around the world. Understanding the human affection or emotional state of the user enables efficient human computer interaction. Smartphone is one of the most frequently used electronic devices and the number of applications developed for it is increasing day by day. Emotion recognition of the user will lead to the development of emotion aware applications. Service recommendations and intelligent user interfaces in Smartphone will be other encouraging scopes for the mobile application developers. In this paper we discuss about state-of-the-art technologies to detect human emotional states. We proposed a methodology by which three different emotional states (positive, neutral, negative) of the user can be identified using Smartphone’s built-in sensors like the gyroscope, accelerometer and also additional sensors such as pressure sensor. We tried to analyse infraction log of Smartphone users, approximated different sensor values to recognize human emotions. Since the pressure values found on the existing phones are not completely accurate, we introduced the use of Force Sensitive Resistor (FSR) sensor to get more accurate pressure values.

References

12 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mefta Sadat. 2014. \u201cRecognizing Human Affection: Smartphone Perspective\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C6): .

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GJCST Volume 14 Issue C6
Pg. 9- 16

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

affective-computing emotion pressure Sensor smartphone touchscreen

Submission ReceivedDecember 10, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

September 6, 2014

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Article Matrices

Total Score: 103

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Mefta Sadat, Rasam Bin Hossain, Hasan Mahmud (PhD/Dr. count: 0)

View Count (all-time): 309

Total Views (Real + Logic): 8986

Total Downloads (simulated): 2293

Publish Date: 2014 09, Sat

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Total Views: 8986

Total Downloads: 2293

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