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Journals / Mühendislik Bilimleri ve Tasarım Dergisi / 2021 / Cilt: 9 - Sayı: 3

A REVIEW OF LITERATURE ON STRESS DETECTION STUDIES USING SMARTPHONE DATA AND MACHINE LEARNING METHODS

AKILLI TELEFON VERİLERİ VE MAKİNE ÖĞRENMESİ YÖNTEMLERİ KULLANILARAK STRES TESPİTİ ÇALIŞMALARI ÜZERİNE BİR LİTERATÜR ARAŞTIRMASI

Ensar Arif SAĞBAŞ
Serdar KORUKOĞLU
Serkan BALLI
Pages
1030–1038
Publication Date
2021-09-21
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the research, it has been seen that information such as smartphone applications, motion sensors, frequency of calling and texting has an important place in the detection of stress.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Stress is a process that generally has negative effects.
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Key Findings & Data:It is important to be detected early to minimize these negative effects.
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Conclusion & Impact:As a result of the research, it has been seen that information such as smartphone applications, motion sensors, frequency of calling and texting has an important place in the detection of stress.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Stres Tespiti · Akıllı Telefon · Makine Öğrenmesi

Abstract

Stress is a process that generally has negative effects. It is important to be detected early to minimize these negative effects. Accordingly, the detection of stress can be considered as a classification problem. Stress can be detected using physiological and behavioral data. In this study, stress detection studies using only smartphone data were discussed and data sources, data types, and machine learning methods using classification were examined. These studies were handled under five headings according to their data sources. As a result of the research, it has been seen that information such as smartphone applications, motion sensors, frequency of calling and texting has an important place in the detection of stress.

Özet

Stres, genel olarak olumsuz etkilere sahip bir süreçtir. Bu olumsuz etkileri en aza indirmek için erken tespit edilmesi önemlidir. Buna bağlı olarak stresin tespit edilmesi bir sınıflandırma problemi olarak ele alınabilir. Stres, fizyolojik ve davranışsal veriler kullanılarak tespit edilebilmektedir. Bu çalışmada, sadece akıllı telefon verileri kullanılarak gerçekleştirilen stres tespiti çalışmaları ele alınmış ve stres tespitinde kullanılan veri kaynakları, veri türleri ve sınıflandırmada kullanılan makine öğrenmesi yöntemleri incelenmiştir. Bu çalışmalar kendi içerisinde veri kaynaklarına göre beş başlık altında incelenmiştir. Araştırma sonucunda akıllı telefon uygulamaları, hareket algılayıcıları, arama ve mesaj atma sıklığı gibi bilgilerin stresin tespitinde önemli bir yer tuttuğu görülmüştür.

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Cite This Article

SAĞBAŞ, E. A., KORUKOĞLU, S., BALLI, S. (2021). A REVIEW OF LITERATURE ON STRESS DETECTION STUDIES USING SMARTPHONE DATA AND MACHINE LEARNING METHODS. Mühendislik Bilimleri ve Tasarım Dergisi, Cilt: 9 - Sayı: 3, 1030–1038. https://ajindex.com/articles/693308

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